ai ml engineer

Raft

<div>
 <p>
  <strong>
   This is a U.S. based position. All of the programs we support require
  </strong>
  <strong>
   U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.
  </strong>
 </p>
 <p>
  <span>
   <strong>
    Who we are:
   </strong>
  </span>
 </p>
 <p>
  <span>
   Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.
  </span>
 </p>
 <p>
  <span>
   Our flagship AI platform, [R]AIMS (Raft AI Mission System), enables operators and engineers to rapidly build, deploy, evaluate, and govern AI-powered mission workflows across highly dynamic operational environments. We are expanding our AI/ML presence in Rome, NY to support Air Force Research Laboratory (AFRL) and are looking for a hands-on AI/ML Engineer to contribute directly to model development, evaluation, and operational AI delivery.
  </span>
 </p>
 <p>
  <span>
   <strong>
    About the role:
   </strong>
  </span>
 </p>
 <p>
  <span>
   As an AI/ML Engineer embedded in Rome, NY, you will work directly on model development efforts while leveraging and extending [R]AIMS platform capabilities to accelerate experimentation, evaluation, deployment, and operational transition. This is a highly hands-on role for an engineer who wants to build real-world AI systems with direct mission impact.
  </span>
 </p>
 <p>
  <span>
   You will work closely with platform engineers, AI leadership, and mission stakeholders to move models from experimentation through production. The work sits at the intersection of applied machine learning, model training and evaluation, AI platform engineering, and operational AI deployment. You will need to be comfortable operating across that full span: writing training pipelines one day, integrating a model into a containerized deployment the next, and briefing a technical stakeholder on evaluation results the day after that.
  </span>
 </p>
 <span>
  What You&rsquo;ll Do:
 </span>
 <ul>
  <li>
   <span>
    Build and evaluate machine learning models for mission-relevant use cases working directly with government researchers and program stakeholders to understand requirements and translate them into executable technical solutions
   </span>
  </li>
  <li>
   <span>
    Develop and maintain model training, fine-tuning, and benchmarking workflows that are reproducible, well-documented, and usable by teammates without hand-holding
   </span>
  </li>
  <li>
   <span>
    Build and improve evaluation pipelines for repeatable, rigorous performance measurement across model architectures, datasets, and operational scenarios
   </span>
  </li>
  <li>
   <span>
    Integrate models into production-ready [R]AIMS platform infrastructure, working with platform engineers to ensure deployments are containerized, observable, and operationally sustainable
   </span>
  </li>
  <li>
   <span>
    Support experimentation across model architectures and datasets, maintaining clear records of results and surfacing actionable findings to AI leadership and mission stakeholders
   </span>
  </li>
 </ul>
 <p>
  <span>
   <strong>
    What we are looking for:&nbsp;
   </strong>
  </span>
 </p>
 <ul>
  <li>
   <span>
    3 to 6 years of hands-on experience building and shipping production software or AI/ML systems
   </span>
  </li>
  <li>
   <span>
    Strong Python software engineering skills; writes clean, maintainable, production-quality code rather than notebook-only scripts
   </span>
  </li>
  <li>
   <span>
    Demonstrated experience developing and evaluating machine learning models, with a clear understanding of what makes an evaluation rigorous versus misleading
   </span>
  </li>
  <li>
   <span>
    Hands-on familiarity with modern ML frameworks such as PyTorch, TensorFlow, JAX, or Hugging Face
   </span>
  </li>
  <li>
   <span>
    Experience building and managing model training pipelines and experimentation workflows at a level beyond tutorial projects
   </span>
  </li>
  <li>
   <span>
    Experience working with distributed systems or cloud-native environments; comfortable in infrastructure that isn&rsquo;t fully managed for you
   </span>
  </li>
  <li>
   <span>
    Strong debugging instincts; able to diagnose failure modes in complex pipelines and explain findings clearly to both technical and non-technical audiences
   </span>
  </li>
  <li>
   <span>
    Ability to work independently and manage workstreams without close supervision while staying well-integrated with a distributed team
   </span>
  </li>
  <li>
   <span>
    Strong written and verbal communication skills; able to produce clear technical documentation, status updates, and evaluation summaries
   </span>
  </li>
  <li>
   <span>
    Ability to obtain Security+ certification within the first 90 days of employment
   </span>
  </li>
  <li>
   <span>
    S. citizenship required; ability to obtain and maintain a Top Secret/SCI clearance
   </span>
  </li>
 </ul>
 <span>
  Highly Preferred:
 </span>
 <ul>
  <li>
   <span>
    Experience fine-tuning foundation models, LLMs, or multimodal models for specific domain tasks or constrained operational environments
   </span>
  </li>
  <li>
   <span>
    Experience designing or operating model evaluation frameworks and benchmarking pipelines at scale
   </span>
  </li>
  <li>
   <span>
    Experience with Kubernetes and containerized ML workloads, including deploying and debugging GPU-enabled inference services
   </span>
  </li>
  <li>
   <span>
    Experience with distributed training or large-scale inference systems
   </span>
  </li>
  <li>
   <span>
    Familiarity with streaming or event-driven architectures such as Kafka or Flink, particularly as they relate to real-time model inputs or outputs
   </span>
  </li>
  <li>
   <span>
    Experience building secure, compliant AI systems for regulated or mission-critical environments, including familiarity with RMF or IL requirements
   </span>
  </li>
  <li>
   <span>
    Prior defense, national security, or government R&amp;D experience, particularly with AFRL or Air Force programs
   </span>
  </li>
  <li>
   <span>
    Experience working in prototype-to-production environments where research artifacts need to become operational systems
   </span>
  </li>
  <li>
   <span>
    Active Secret or Top Secret clearance strongly preferred
   </span>
  </li>
 </ul>
 <span>
  What Success Looks Like
 </span>
 <ul>
  <li>
   <span>
    Models developed and evaluated at AFRL are delivered with clear, rigorous documentation of performance, limitations, and operational considerations&mdash;not handed off as black boxes
   </span>
  </li>
  <li>
   <span>
    Evaluation pipelines are repeatable and trusted by the broader team; results are reproducible and traceable
   </span>
  </li>
  <li>
   <span>
    Model integrations into [R]AIMS are clean, containerized, and maintainable by platform engineers without needing the original model developer in the loop
   </span>
  </li>
  <li>
   <span>
    AFRL stakeholders view Raft as a technically credible, reliable partner; your presence in Rome strengthens that relationship over time
   </span>
  </li>
  <li>
   <span>
    The gap between experimentation and operational deployment shortens with each program cycle because of the infrastructure and workflows you helped build
   </span>
  </li>
 </ul>
 <p>
  <span>
   <strong>
    Clearance Requirements:
   </strong>
  </span>
 </p>
 <ul>
  <li>
   <span>
    No clearance required to start
   </span>
  </li>
  <li>
   <span>
    Must be eligible for and willing to obtain a Top Secret/SCI clearance; active clearance strongly preferred
   </span>
  </li>
 </ul>
 <p>
  <span>
   <strong>
    Salary Range: $170,000.00 - $220,000.00
   </strong>
  </span>
 </p>
 <p>
  <span>
   <strong>
    Work Type:
   </strong>
  </span>
 </p>
 <ul>
  <li>
   <span>
    Hybrid in Rome, NY; candidates must be based in or willing to relocate to the Rome, NY area to support a hybrid schedule
   </span>
  </li>
  <li>
   <span>
    Up to 25% travel
   </span>
  </li>
 </ul>
 <p>
  <span>
   <strong>
    What we will offer you:&nbsp;
   </strong>
  </span>
 </p>
 <ul>
  <li>
   <span>
    Highly competitive salary
   </span>
  </li>
  <li>
   <span>
    Fully covered healthcare, dental, and vision coverage
   </span>
  </li>
  <li>
   <span>
    401(k) and company match
   </span>
  </li>
  <li>
   <span>
    Take as you need PTO + 11 paid holidays
   </span>
  </li>
  <li>
   <span>
    Education &amp; training benefits
   </span>
  </li>
  <li>
   <span>
    Generous Referral Bonuses
   </span>
  </li>
  <li>
   <span>
    And More!
   </span>
  </li>
 </ul>
 <p>
  <span>
   <strong>
    Our Vision Statement:&nbsp;
   </strong>
  </span>
 </p>
 <p>
  <span>
   We bridge the gap between humans and data through radical transparency and our obsession with&nbsp;the&nbsp;mission.&nbsp;
  </span>
 </p>
 <p>
  <span>
   <strong>
    Our Customer Obsession:
   </strong>
   &nbsp;
  </span>
 </p>
 <p>
  <span>
   We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.
  </span>
 </p>
 <p>
  <span>
   <strong>
    How do we get there?
   </strong>
   &nbsp;
  </span>
 </p>
 <p>
  <span>
   Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking,&nbsp;and collaboration is a norm.&nbsp;
  </span>
 </p>
 <p>
  <span>
   Raft&rsquo;s core philosophy is&nbsp;
   <strong>
    Ubuntu: I&nbsp;Am, Because&nbsp;We are
   </strong>
   . We support our&nbsp;
   <em>
    &ldquo;nadi&rdquo;
   </em>
   &nbsp;by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.&nbsp;
  </span>
 </p>
 <p>
  <strong>
   We&rsquo;re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  </strong>
 </p>
</div>


AI/ML Engineer

Brain Co.

<div>
 <strong>
  About Brain Co.
  <br/>
  <br/>
 </strong>
 Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley&rsquo;s leading builders &mdash; including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world&rsquo;s most important institutions - delivering impact on real-world problems.Our progress so far
 <br/>
 <br/>
 <ul>
  <li>
   Automated construction permitting for a sovereign government &rarr; 80% faster, unlocking $375M+ in value
  </li>
  <li>
   Optimized supply chains for a leading global energy company &rarr; 30% lower cost, 99% reliability, preventing $100M+ in losses
  </li>
  <li>
   Streamlined hospital patient care across national health systems &rarr; 40% better outcomes, 80% less admin work
  </li>
  <li>
   Raised a $30M Series A from top investors
  </li>
  <li>
   Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks
   <br/>
   <br/>
  </li>
 </ul>
 At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.
  </li>
  <li>
   Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
  </li>
  <li>
   Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.
  </li>
  <li>
   Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.
  </li>
  <li>
   Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hold a BSc/Master&rsquo;s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
  </li>
  <li>
   Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.
  </li>
  <li>
   Have at least a high level familiarity with the architecture and operation of large language models.
  </li>
  <li>
   Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
  </li>
  <li>
   Possess a strong foundation in data structures, algorithms, and software engineering principles.
  </li>
  <li>
   Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.
  </li>
  <li>
   Can work collaboratively with cross-functional teams.
  </li>
  <li>
   Thrive in fast-paced environments where priorities or deadlines may compete.
  </li>
  <li>
   Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary plus equity
  </li>
  <li>
   Daily lunches
  </li>
  <li>
   Commuter benefits
  </li>
  <li>
   401(k)
  </li>
  <li>
   Medical, Dental and Vision
  </li>
  <li>
   Unlimited PTO
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ship quickly, iterate constantly and see your work deployed at global scale
  </li>
  <li>
   Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more
  </li>
  <li>
   Accelerate your career with ownership based on impact, not tenure
  </li>
  <li>
   Earn competitive compensation + meaningful equity in a high-growth company
  </li>
  <li>
   Thrive in a culture built on speed, curiosity, and impact
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   This is a hybrid role that can be based in either our Abu Dhabi or Doha office
  </strong>
 </em>
</div>


AI/ML Engineer, Deployed

Datamatics Global Services Ltd

<div><b>Position Title : AI/ML Engineer &ndash; Agentic AI</b><br>
<b>Experience Required: </b>4&ndash;6 Years (Should be open to Travel)<br>
<b>Employment Type : </b>Full-Time - Riyadh - Onsite<br>
<br>
<b>Job Overview</b><br>
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques.<br>
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment.<br>
<br>
<b>Key Responsibilities</b><ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize <b>Agentic AI systems</b> using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul><b>
Required Skills &amp; Expertise</b><ul><li>
Strong hands-on experience in <b>Machine Learning, Generative AI, and Agentic AI development</b>.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul><b>
Preferred Qualifications</b><ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul><br>
<p>
</p><p>tTAmIvfFVv</p></div>

AI/ML Engineer – Agentic AI

Sierra Nevada Corporation

<div>SNC can only hire in these states: AL, AK, AZ, CA, CO, FL, GA, HI, ID, IL, IN, KS, KY, LA, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NC, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WV, WI.
<p></p>In this role, you will help shape the long-term AI/ML technical vision for the organization, guide high-impact R&amp;D initiatives, and lead the development of advanced autonomy, perception, analytics, and generative AI capabilities. You will be responsible for setting technical direction across multiple simultaneous efforts, defining architectural standards, and ensuring that JTF Sierra&rsquo;s prototypes and initiatives represent industry-leading innovation. This role requires exceptional technical depth, the ability to operate with extreme autonomy, and the leadership presence to influence engineering culture, collaborate with program leadership, mentor staff, and represent the team to senior executives, customers, and external partners.
<p></p>The ISR (Intelligence, Surveillance &amp; Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance &amp; Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations &ndash; with an unrivaled record of on time and on (or under) budget deliveries.
<p></p><p><b>Role Expectations Specific to JTF Sierra
</b></p><ul><li><p>Translate broad mission objectives into program-level AI/ML architectures, strategies, staffing plans, data approaches, and technical frameworks.
</p></li><li><p>Drive system-level AI/ML decision-making by establishing technical standards and guiding engineering trade studies that shape platform-level autonomy and perception capabilities.
</p></li><li><p>Identify and champion high-value R&amp;D opportunities, emerging technologies, and cross-organizational partnerships that accelerate SNC&rsquo;s AI/ML advancements.
</p></li><li><p>Provide deep technical consultation across JTF Sierra and adjacent Business Unit product lines, ensuring architectural coherence and consistent technical excellence.
</p></li><li><p>Ensure AI/ML solutions are architected for scalability and seamless integration with enterprise-wide platforms. Collaborate with IT and infrastructure teams to define and implement the necessary tools, data pipelines, and computing resources to support sustainable AI/ML operations across the organization.
</p></li><li><p>Balance program-specific AI/ML solution development with the strategic creation of reusable frameworks, shared data assets, and foundational infrastructure that enable cross-program and enterprise-wide AI/ML adoption.
</p></li></ul><p></p><p><b>Responsibilities:
</b></p><ul><li><p>Lead design and technical direction for next-generation architectures spanning deep learning, reinforcement learning, multimodal generative AI, and advanced perception/decision systems
</p></li><li><p>Architect and oversee end-to-end multi-program AI/ML systems across platforms and embedded systems
</p></li><li><p>Assist with development of long-term technical strategies, roadmaps, and requirements for emerging AI/ML initiatives
</p></li><li><p>Identify, define, and advocate for the foundational data, compute, MLOps, and cloud/on-prem infrastructure necessary to support sustainable and secure AI/ML development and deployment across JTF Sierra and related business units.
</p></li><li><p>Establish and promote best practices for the full AI/ML lifecycle&mdash;including data management, model versioning, CI/CD for ML, monitoring, and continuous improvement&mdash;to ensure reliable deployment and operation of AI/ML models in production.
</p></li><li><p>Oversee multiple development streams, providing technical reviews, risk assessments, and mitigations plans
</p></li><li><p>Shape system-level behavior and engineering tradeoffs when requirements are ambiguous
</p></li><li><p>Lead development of simulations, sensor fusion models, vision models, and planning/decision algorithms
</p></li><li><p>Represent JTF Sierra to leadership, customers, and partners (assist in developing and presenting briefings, demos, high-level technical presentations, etc)
</p></li><li><p>Establish adaptive, agile AI/ML validation, verification, and safety frameworks for proof-of-concept level mission-critical systems
</p></li><li><p>Evaluate and introduce emerging technologies (examples: transformers, RLHF, edge AI, XAI, GPU acceleration)
</p></li><li><p>Partner with Program Manager and Project Engineer to define staffing, data, schedules, and resources required to execute JTF Sierra technical initiatives
</p></li><li><p>Coach and develop engineering talent, raising JTF Sierra&rsquo;s overall AI/ML capabilities
</p></li></ul><p></p><p><b>Qualifications You Must Have:
</b></p><ul><li><p>Bachelor&rsquo;s degree in Computer Science, Engineering, Math, Statistics, or related STEM field
</p></li><li><p>14+ years of experience in AI/ML or related fields, or 16+ years without a degree
</p></li><li><p>Demonstrated mastery of deep learning, reinforcement learning, generative models, and large-scale AI/ML system architecture
</p></li><li><p>Proven experience architecting and deploying mission-critical and/or large-scale AI/ML systems
</p></li><li><p>Strong proficiency in Python, C++, C#, and/or Java with experience building scalable Machine Learning systems
</p></li><li><p>Experience providing technical leadership across teams, projects, or programs
</p></li><li><p>Ability to define technical strategies, influence senior stakeholders, and make organization-level architecture decisions
</p></li><li><p>In-depth experience with aerospace/defense-relevant regulatory and cybersecurity considerations
</p></li><li><p>Demonstrated ability to mentor and grow engineering talent within an organization
</p></li></ul><p></p><p><b>Qualifications We Prefer:
</b></p><ul><li><p>Advanced degree (MS or PhD) in AI/ML or related field
</p></li><li><p>Experience applying AI/ML to autonomy, multimodal sensor fusion, or embedded/real-time platforms
</p></li><li><p>Experience establishing or scaling ML engineering standard (MLOps, validation frameworks, data management)
</p></li><li><p>Expertise with GPU acceleration, CUDA/TensorRT, or parallel computing
</p></li><li><p>Publications, patents, or thought leadership in AI/ML
</p></li><li><p>Familiarity with edge AI, explainable AI (XAI), or emerging/advanced ML topics
</p></li><li><p>Experience translating high-level mission objectives into complex AI/ML system architectures (HMI scenarios, autonomy stacks)
</p></li></ul><p></p><p><b>Essential Functions:
</b></p><ul><li><p>Define and lead complex AI/ML projects across multiple programs
</p></li><li><p>Collaborate in a hybrid environment while supporting rapid demonstration timelines
</p></li><li><p>Travel 10-30% for R&amp;D, customer and partner engagement, field testing, and conferences
</p></li></ul><p></p><p>This posting will be open for application for a minimum of 5 days and may be extended based on business needs.
</p><p></p><p>SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.
</p><p></p><p>SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more .
</p><p></p><p><b>IMPORTANT NOTICE:
</b></p>This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.<p><br>
</p><p></p><p>SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We&rsquo;re known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation&rsquo;s most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!
</p><p></p><p>SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.</p></div><p></p>

Principal AI/ML Engineer

GliaCell Technologies

<div><p><b>***An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance.***</b><br>
<br>
<b>Are you a Senior Artificial Intelligence / Machine Learning Engineer who is ready for a new challenge that will launch your career to the next level?</b></p><ul><li>
Tired of being treated like a company drone?</li><li>
Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again?</li><li>
Our engineers were certainly tired of the same.</li></ul><p><b>
At GliaCell our slogan is &ldquo;We make It happen&rdquo;.</b></p><ul><li>
We will immerse you in the latest technologies.</li><li>
We will develop and support your own personalized training program to continue your individual growth.</li><li>
We will provide you with work that matters with our mission-focused customers, and surround you with a family of brilliant engineers.<b>
</b></li></ul><p><b>Culture isn&rsquo;t something you need to talk about&hellip;if it just exists.</b></p><p><b>
If this sounds interesting to you, then we&rsquo;d like to have a discussion regarding your next adventure! If you want to be a drone, this isn&rsquo;t the place for you.</b></p><p><b>
We Make It Happen!</b></p><p><i>
GliaCell Technologies focuses on Software &amp; System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks.
</i></p><p><i>GliaCell&rsquo;s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.</i></p><p><b>
We Offer:</b></p><ul><li>
Long term job security</li><li>
Competitive salaries &amp; bonus opportunities</li><li>
Challenging work you are passionate about</li><li>
Ability to work with some amazingly talented people</li></ul><p><b>
Job Description:</b></p><p>
GliaCell is seeking a Senior AI/ML Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract.</p><p><b>
Key Requirements:</b></p><p>
To be considered for this position you must have the following:</p><ul><li><b>
Possess an active or rein-statable TS/SCI with Polygraph security clearance.</b> (This position requires in-scope poly, within 7 years).</li><li>
U.S. Citizenship.</li><li>
5+ years of experience and a Master's or Ph.D. degree in math, artificial intelligence, data science, computer science, or deep learning from an accredited college or university; or 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.</li><li>
Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.</li><li>
Work well independently as well as on a team.</li><li>
Strong communication skills.</li></ul><p><b>
Key Skills:</b></p><ul><li>
Select the appropriate data sets</li><li>
Perform statistical analysis</li><li>
Run machine learning algorithms</li><li>
Use results to improve models</li><li>
Train and retrain systems when needed</li><li>
Experience in working with various ML libraries and packages</li><li>
Run standard test and evaluation protocols</li><li>
Provide system integration oversight</li><li>
Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements</li><li>
Research and implement a broad range of AI and ML algorithms and tools</li><li>
Design or Select appropriate data and knowledge representation methods</li><li>
Recognize software architecture, data modelling, and data structures</li><li>
Transform and convert data science prototypes into scalable solutions</li><li>
Verify data and model output quality</li><li>
Identify differences in data distribution that affect model performance</li></ul><p><b>
Location: </b>Annapolis Junction, Maryland (Partial Telework of 16 hours per week is expected)<br>
<b><i>Note</i></b><i>: Telework granted for this position does not become available until after the individual has been in the position for a period of time, has acclimated to tasking/duties, and has meaningful work that can be done remotely. Telework can also be removed at any time.</i></p><p><b>
Salary Range:</b> The salary range for this full-time position is $170,000 to $260,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process.</p><p><b>
Benefits:</b></p><ul><li>
Medical, Dental, and Vision Coverage for Employee and Dependents</li><li>
Up to 25 Days of Paid Time Off</li><li>
Up to 40 hours of PTO Carryover</li><li>
11 Federal Government Holidays</li><li>
Work From Home Opportunities</li><li>
401K Company Contribution, Fully Vested Day 1</li><li>
Discretionary, Certification, and Sign-On Bonus Potential</li><li>
Employee Referral Bonus Program</li><li>
Annual Professional Development</li><li>
100% Premium Covered for Life &amp; Disability Insurances</li><li>
Additional Voluntary Life Insurance Coverage Available</li><li>
Employee Assistance Program</li><li>
Travel Protection Program</li><li>
Financial Planning Assistance</li><li>
Bereavement and Jury Duty Leave</li><li>
Monthly Team and Family Events</li><li>
Technology Budget</li><li>
Global Entry</li><li>
Annual Swag Budget</li></ul><p>
Learn more about GliaCell Technologies: https://gliacelltechnologies.applytojob.com/apply/</p><p><b>
To apply for this position, respond to this job posting and attach an updated resume for us to review.</b></p><p>
GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.</p><p>
</p><p>TIjSQ2pMN8</p></div>

Senior AI/ML Engineer (Partial Telework)

Georgia Tech

<div></div><div><div><div><div><div><ul><li>500985
</li> </ul></div><div></div><div><ul><li>Colorado Springs, Colorado
</li> </ul></div><div></div><div><ul><li>Aerospace
</li> <div></div><li>Algorithm Development
</li> <div></div><li>Artificial Intelligence</li></ul><div></div><div><br>
 </div></div><div></div><div><ul><li>Researchers
</li> </ul></div></div><div></div><div><div><div>Add To Favorites
</div></div> <div></div><div>View Favorites
</div></div><div><h3 class="jobSectionHeader"><b>Overview</b></h3>
<p>
The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry. GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.</p>
<h3 class="jobSectionHeader"><b>
Georgia Tech's Mission and Values</b></h3>
<p>
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:</p>
<p>
1. Students are our top priority.
<br>
2. We strive for excellence.
<br>
3. We thrive on diversity.
<br>
4. We celebrate collaboration.
<br>
5. We champion innovation.
<br>
6. We safeguard freedom of inquiry and expression.
<br>
7. We nurture the wellbeing of our community.
<br>
8. We act ethically.
<br>
9. We are responsible stewards.</p>
<p>
Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.</p>
<h3 class="jobSectionHeader"><b>
Project/Unit Description</b></h3>
<p>
The Electronic Systems Laboratory (ELSYS) at the Georgia Tech Research Institute (GTRI) is seeking an AI/ML Engineer to support the United States Space Force (USSF) Space Systems Command (SSC). This position directly supports the USSF portfolio, specifically the Operational Test and Training Infrastructure (OTTI) / System Delta 81.<br>
<br>
This role centers on &ldquo;physical AI&rdquo; for space systems&mdash;AI tightly coupled to high fidelity, physics-based satellite simulations and live operational data. The selected candidate will help build and integrate digital twin&ndash;style environments (e.g., NVIDIA-based simulation stacks) that remain time-aligned with real satellite telemetry and sensor data, enabling realistic test, training, and evaluation of AI capabilities for space operations.<br>
<br>
While the broader AI/ML engineering discipline encompasses algorithm development, this specific position focuses heavily on the foundational data, interoperability, and simulation architectures required to deploy and evaluate advanced AI and Large Language Model (LLM) capabilities within DoD space simulation and live environments. Working in direct support of OTTI physical AI and emerging technology efforts, this role is responsible for engineering the critical data infrastructure, semantic ontologies, robust API abstraction layers, and advanced data pipelines that connect digital twins, AI training/evaluation workflows, and live systems.</p>
<h3 class="jobSectionHeader"><b>
Job Purpose</b></h3>
<p>
The Artificial Intelligence/Machine Learning (AI/ML) Engineer develops AI/ML algorithms, cloud computing, and/or heterogeneous distributed computing infrastructures to support the deployment of AI/ML applications. The AI/ML Engineer also researches the mathematical foundations and frameworks for nonlinear systems characterized by time-varying and emerging dynamics of evolving or adaptive systems. The AI/ML Engineer develops technical solutions at the leading edge of Artificial Intelligence, Machine Learning, Genetic Programming, Computer Vision, and advanced data processing, filtering, and fusion techniques in high-performance computing and distributed heterogeneous computing environments. The AI/ML Engineer writes parallel processing programs to deploy ML models developed by data scientists into more complex systems. The AI/ML Engineer has familiarity with state-of-the-art, open-source software frameworks and high-performance computing accelerators for machine learning. When conducting research, the AI/ML Engineer leverages the most recent advances in statistical analysis of large data sets to advance state-of-the-art automated sensor and data processing for a broad range of intelligent and sensor-enabled systems.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<ul><li>Design complex system architectures (e.g., high-performance computing clusters, networks, chipsets, GPUs) based on available hardware (e.g., embedded systems, cloud, on-premise, etc.)</li>
<li>Lead a team of engineers responsible for system deployment</li>
<li>Develop novel algorithms and methodologies</li>
<li>Engage with sponsors to understand and meet system requirements</li>
<li>Serve as the primary author on technical reports and proposals</li>
</ul><h3 class="jobSectionHeader"><b>Additional Responsibilities</b></h3>
<ul><li>Bridge the gap between high-fidelity space simulation environments, AI training workflows, and live systems (e.g., NVIDIA-based digital twin environments) to operationalize AI in widely interoperable test, training, and operational contexts</li>
<li>Architect and develop API abstraction layers to consolidate and streamline data access across disparate relational, graph, and simulation data services for downstream AI/ML applications</li>
<li>Design and implement semantic ontologies and data models to standardize complex military datasets, such as the Unified Data Library (UDL), and to enable seamless integration with AI and Large Language Model (LLM) capabilities and orchestration frameworks (e.g., Model Context Protocol)</li>
<li>Build, optimize, and maintain robust data pipelines that connect live space data sources, UDL datasets, and simulation environments, including ingestion, knowledge graph development, transformation, and vectorization to support Retrieval-Augmented Generation (RAG) and other AI inference workflows</li>
<li>Translate legacy data systems and unstructured data stores into interoperable, AI-ready formats that can both drive and be driven by physics-based simulations in support of OTTI initiatives</li>
<li>Develop and maintain comprehensive technical documentation for data schemas, API endpoints, simulation-AI integration patterns, and AI system interoperability frameworks</li>
<li>Evaluate and integrate emerging commercial and open-source simulation, AI, and data engineering technologies into secure DoD/USSF environments, in coordination with OTTI stakeholders and system architects</li>
</ul><h3 class="jobSectionHeader"><b>Required Minimum Qualifications</b></h3>
<ul><li>Experience developing software in Python for data processing, backend services, or basic machine learning workflows</li>
<li>Experience working with at least one relational database (e.g., PostgreSQL, MySQL) including schema design and querying</li>
<li>Experience building and consuming web APIs (e.g., REST or GraphQL) in a production or research environment</li>
<li>Experience integrating, deploying, testing, and tuning large language models</li>
<li>Experience implementing data pipelines that perform ingestion, transformation, and preparation of data for analytics or ML (e.g., ETL/ELT workflows)</li>
<li>Experience with at least one common ML or numerical computing framework (e.g., PyTorch, TensorFlow, Scikit-learn, NumPy) in a coursework, research, or professional context</li>
<li>Experience using software version control (e.g., Git) in a collaborative environment</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li>Active TS/SCI Clearance</li>
<li>Experience working with GPU-accelerated simulation or digital twin environments for robotics, aerospace, or space systems (e.g., NVIDIA Omniverse, Isaac Sim, or similar tools)</li>
<li>Experience integrating or querying data from the Unified Data Library (UDL) or other large-scale Department of Defense (DoD) or Intelligence Community data repositories</li>
<li>Familiarity with Space Domain Awareness (SDA), space operations, or Operational Test and Training Infrastructure (OTTI) concepts</li>
<li>Experience designing or integrating data models and ontologies for complex, multi-source operational data (e.g., sensor data, telemetry, simulation outputs)</li>
<li>Experience utilizing Large Language Model (LLM) orchestration frameworks (e.g., LangChain, LlamaIndex) for Retrieval-Augmented Generation (RAG) or tool-using agents</li>
<li>Experience deploying applications or services within DoD DevSecOps platforms (e.g., Platform One) or government cloud environments (e.g., AWS GovCloud, Azure Government)</li>
<li>Familiarity with Semantic Web standards (e.g., RDF, OWL, SPARQL) for building and mapping robust data ontologies and knowledge graphs</li>
<li>Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) in secure or resource-constrained environments</li>
</ul><h3 class="jobSectionHeader"><b>Travel Requirements</b></h3>
<p>
10% - 25% travel</p>
<h3 class="jobSectionHeader"><b>
Education and Length of Experience</b></h3>
<p>
This position vacancy is an open-rank announcement. The final job offer will be dependent on candidate qualifications in alignment with Research Faculty Extension Professional ranks as outlined in section 3.2.1 of the Georgia Tech Faculty Handbook</p>
<ul>
<li>5 years of related experience with a Bachelor&rsquo;s degree in Computer Science, Software Engineering, Robotics, Computer Engineering, Data Science, Electrical Engineering, Mathematics, Physics, or a related degree</li>
<li>3 years of related experience with a Masters&rsquo; degree in Computer Science, Software Engineering, Robotics, Computer Engineering, Data Science, Electrical Engineering, Mathematics, Physics, or a related degree</li>
<li>0 years of related experience with a Ph.D. in Computer Science, Software Engineering, Robotics, Computer Engineering, Data Science, Electrical Engineering, Mathematics, Physics, or a related degree</li>
</ul><h3 class="jobSectionHeader"><b>U.S. Citizenship Requirements</b></h3>
<p>
Due to our research contracts with the U.S. federal government, candidates for this position must be U.S. Citizens.</p>
<h3 class="jobSectionHeader"><b>
Clearance Type Required</b></h3>
<p>
Candidates must be able to obtain and maintain an active security clearance.</p>
<h3 class="jobSectionHeader"><b>
Benefits at GTRI</b></h3>
<p>
Comprehensive information on currently offered GTRI benefits, including Health &amp; Welfare, Retirement Plans, Tuition Reimbursement, Time Off, and Professional Development, can be found through this link: https://benefits.hr.gatech.edu/.</p>
<h3 class="jobSectionHeader"><b>
Equal Employment Opportunity</b></h3>
<p>
The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.</p>
<p>
Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (&ldquo;USG&rdquo;) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual&rsquo;s race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.</p>
<h3 class="jobSectionHeader"><b>
USG Core Values Statement</b></h3>
<p>
The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.</p>
<p>
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.</p></div></div></div></div>

AI/ML Engineer - ELSYS - Colorado Springs, CO - (Open Rank)

Accenture Federal Services

<div></div><div><div><div><div>At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.</div>
<div></div>
<div>Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.</div>
<div></div>
<div>Join us to drive positive, lasting change that moves missions and the government forward!</div><br>
<div></div>
</div></div><p><b>
Job Description</b>:</p>
<p>
We are looking for an experienced Senior AI/ML and Data Engineer to develop, implement, and maintain sophisticated machine learning, LLM, and enterprise AI solutions for our federal client. The ideal candidate combines strong hands on engineering talent with architectural leadership&mdash;capable of shaping mission aligned AI strategy, designing scalable pipelines, and delivering production-grade ML and Generative AI capabilities in secure environments. This role will partner with cross functional teams - including data engineering, cloud engineering, cybersecurity, and mission SMEs - to architect end-to-end AI systems that are reliable, compliant, and impactful.</p>
<p><b>
The work you'll do</b>:</p>
<ul>
<li><b>AI/ML Engineering</b>:
<ul><li>Design, develop, and deploy machine learning models, LLM applications, retrieval augmented generation (RAG) pipelines, and agentic AI systems.</li>
<li>Build data preprocessing, training, fine tuning, inference, and evaluation workflows.</li>
<li>Develop scalable ML pipelines using modern toolchains (SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace).</li>
<li>Implement MLOps solutions including CI/CD for ML, model versioning, monitoring, logging, and drift detection.</li>
<li>Shape AI system design decisions including vector DB selection, embedding strategies, prompt architecture, and model selection.</li>
<li>Define target state architectures for LLM enabled applications, AI microservices, RAG pipelines, and knowledge retrieval systems.</li>
</ul></li><li><b>Data &amp; Cloud Engineering</b>:
<ul><li>Design, build, and maintain scalable automated data pipelines (ETL/ELT) to support both batch and real-time data processing.</li>
<li>Architect data lakes and warehouses (e.g., Snowflake, Databricks, BigQuery) to ensure high availability and performance for ML workflows.</li>
<li>Implement rigorous data quality checks and validation frameworks to ensure &quot;garbage-in, garbage-out&quot; never applies to our models.</li>
</ul></li><li><b>Delivery &amp; Stakeholder Engagement</b>:
<ul><li>Work closely with program leadership, technical SMEs, and mission stakeholders to define requirements and AI roadmaps.</li>
<li>Translate business problems into technical AI solutions and communicate tradeoffs to mixed audiences.</li>
<li>Produce architecture diagrams, interface specifications, deployment patterns, and integration plans.</li>
</ul>
</li></ul><p><b>Here's what you'll need</b>:</p>
<ul>
<li>Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or related field.</li>
<li>5+ years of experience in one or more of the following areas:
<ul><li>AI/ML engineering, cloud-native development, or data engineering.</li>
<li>Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn).</li>
<li>Hands on experience with LLM development (OpenAI, Anthropic, Bedrock, Azure OpenAI, HuggingFace Transformers).</li>
<li>Experience architecting ML pipelines using AWS, Azure, or GCP.</li>
<li>Familiarity with DevSecOps and IaC tools (Terraform, CloudFormation, Jenkins, GitLab, etc.).</li>
<li>Experience implementing microservices, APIs, and containerized workloads (Docker, Kubernetes, ECS/EKS/AKS).</li>
<li>Understanding of security frameworks (FedRAMP, NIST 800 53, Zero Trust) for ML systems.</li>
</ul>
</li></ul><p><b>Bonus points if you have</b>:</p>
<ul>
<li>Experience building RAG pipelines with vector databases (Pinecone, FAISS, Weaviate, Milvus).</li>
<li>Experience designing agentic workflows and multi agent AI systems.</li>
<li>Experience with graph databases, knowledge graphs, or semantic search.</li>
<li>Certifications such as AWS Architect, AWS ML Specialty, Azure AI Engineer, Security+.</li>
<li>Ability to translate complex technical concepts for non-technical audiences.</li>
<li>Strong problem-solving abilities with a product focused mindset.</li>
<li>Strong communication and client facing consulting skills.</li>
<li>Ability to work across cross-functional teams in a fast-paced environment.</li>
</ul>
<p><b>Security clearance</b>:</p>
<ul>
<li>Active TS security clearance is required.</li>
</ul><div><div>
<div></div><div><div><b><i>What We Believe</i></b><b><i>
</i></b></div><div><i>As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.</i></div>
</div>
<div></div><div><b><i>Equal Employment Opportunity Statement</i></b></div>
<div><i>We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the</i><i> Accenture Federal Services Equal Opportunity Policy Statement.</i></div>
<div></div>
<div><i>Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.</i></div>
<div></div>
<div><b><i>Requesting An Accommodation</i></b></div>
<div><i>Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</i></div>
<div></div>
<div><i>If you</i><b><i> </i></b><i>are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.</i></div>
<div></div>
<div><b><i>Other Employment Statements</i></b></div>
<div><i>Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</i></div>
<div></div>
<div><i>Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.</i></div>
<div></div>
<div><i>Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.</i></div>
<div></div>
<div><i>The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</i></div>
<div></div>
<div><i>California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please </i><i>click here</i><i> for additional important information.</i></div></div></div></div><p></p>

Senior AI/ML & Data Engineer

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