ai ml developer

Amivero

<div>
 
 Amivero Team
 
 
 
 Amivero&rsquo;s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge and reimagining with our customer how outcomes can be achieved.
 
 
 Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.
 
 
 As a member of the Amivero team you will use your empathy for a customer&rsquo;s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.
 
 
 
 Special Requirements
 
 
 
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 US Citizenship Required to obtain Public Trust
 </li>
 <li>
 Active DHS Clearance (preferred)
 </li>
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 Bachelor Degree + 10 years of experience
 </li>
 <li>
 3+ years of experience developing and optimizing solutions using Python or similar, with a strong focus on performance, scalability, and efficiency
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 Extensive experience working with vector technology databases, designing and implementing solutions to efficiently store, search, and analyze high-dimensional data for real-time and large-scale applications
 
 
 
 </li>
 </ul>
 
 The Gist&hellip;
 
 
 
 The AI/ML Engineer designs, develops, trains, and deploys machine learning models to support predictive analytics, anomaly detection, and decision-support capabilities. This role integrates AI/ML solutions into operational workflows, collaborating with data, product, and engineering teams to ensure models are effective, scalable, and aligned with organizational objectives.
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models to support predictive analytics, anomaly detection, and decision-support tools.
 </li>
 <li>
 Integrate AI/ML solutions into operational systems and workflows to enhance automation and efficiency.
 </li>
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 Create and fine-tune algorithms for various tasks such as classification, regression, clustering, and recommendation systems.
 </li>
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 Preprocess, clean, and transform data to ensure high-quality inputs for model training.
 </li>
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 Develop models leveraging advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing.
 </li>
 <li>
 Build and maintain scalable and efficient data pipelines using Databricks and Hadoop/Cloudera.
 </li>
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 Implement ETL processes to clean, prepare, and transform large datasets for analysis and modeling.
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 Ensure data integrity and quality throughout the data lifecycle.
 </li>
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 Evaluate model performance using appropriate metrics and implement improvements as needed.
 </li>
 <li>
 Collaborate with data engineers, product managers, and developers to align AI/ML solutions with program goals.
 </li>
 <li>
 Implement best practices for model versioning, deployment, monitoring, and retraining.
 </li>
 <li>
 Ensure compliance with data privacy, security, and regulatory standards in AI/ML workflows.
 </li>
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 Document model design, assumptions, data sources, and performance results.
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 Stay current with emerging AI/ML technologies, frameworks, and research to enhance solutions.
 </li>
 <li>
 Mentor junior team members and contribute to knowledge sharing in AI/ML development practices.
 </li>
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 Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; a master&rsquo;s degree preferred.
 </li>
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 A bachelor&rsquo;s degree with an additional three (3) or more years of relevant experience may substitute for a master&rsquo;s degree.
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 Minimum of five (5) years of directly related experience in AI/ML development, data science, or applied analytics.
 </li>
 <li>
 Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
 </li>
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 Strong programming skills in Python, Java, or R; experience with APIs and integration into production systems.
 </li>
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 Knowledge of data preprocessing, feature engineering, model evaluation, and deployment pipelines.
 </li>
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 Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
 </li>
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 Excellent analytical, problem-solving, and critical-thinking skills.
 </li>
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 Strong communication and collaboration skills, with the ability to work with cross-functional teams.
 </li>
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 Experience mentoring or guiding less experienced AI/ML engineers is a plus.
 
 
 
 </li>
 </ul>
 EOE/M/F/VET/DISABLED
 
 
 All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
</div>

AI/ML Developer

DPR Construction

<div><h2 class="jobSectionHeader">Job Description
</h2>Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for the construction Industry. Our AI and Data Team is focused on designing intelligent AI agents, and copilots using modern AI/ML techniques. You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.
 
 
Responsibilities
 
 
 Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects
 
 Assist in the development and execute comprehensive plans to integrate AI technologies into business processes, aimed at enhancing operational efficiency and boosting employee productivity.
 
 Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
 
 Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.
 
 Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
 
 Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.
 
 Drive innovation by exploring new AI applications and solutions that can benefit the enterprise, leading research and development efforts to keep DPR at the forefront of AI technology.
 
 Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact.
 
 
Qualifications
 
 At least 3 years of experience with Software Development, Machine Learning.
 
 At least 2 years of experience Generative AI, specifically with Large Language Models (LLM).
 
 Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets.
 
 Experience with Data Connectors and API gateways that support seamless communication between systems.
 
 Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms.
 
 Familiarity with Cloud computing skills.
 
 Strong programming skills in Python and experience with AI/ML frameworks.
 
 Proficiency in vector databases and embedding models for retrieval tasks.
 
 Understanding of Knowledge Graph is a plus.
 
 Possess strong problem-solving and strategic thinking abilities.
 
 Strong communicator with the ability to present ideas clearly and influence stakeholders &mdash; with a passion for enabling data-driven transformation.
DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.
Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together&mdash;by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.
Explore our open opportunities at www.dpr.com/careers .</div>

Machine Learning Engineer

C4ADS

<div><h1 class="jobSectionHeader">Data Scientist</h1>
<h2 class="jobSectionHeader">Position Summary</h2>

The Data Scientist will research, design, and evaluate AI and machine learning solutions that advance C4ADS's investigative mission. This role is centered on applied research and experimentation, with a focus on designing and testing LLM-based workflows, building retrieval and agentic pipelines, and translating complex analytical needs into working tools that investigators and analysts can actually use.

The ideal candidate combines strong technical depth in NLP and generative AI paired with genuine familiarity with global security, illicit networks, or open-source research. This person should be equally comfortable experimenting with emerging technologies, translating complex analytical needs into workable technical solutions, and communicating limitations and tradeoffs clearly to non-technical audiences.
<h2 class="jobSectionHeader">
Core Responsibilities</h2>
<h3 class="jobSectionHeader">AI Research &amp; Experimentation</h3>
<ul><li>Research, prototype, and evaluate LLM-based approaches to investigative data challenges</li>
<li>Design and test RAG (retrieval-augmented generation) pipelines for document-heavy research workflows</li>
<li>Develop and maintain MCP-based agentic tooling that supports analyst workflows</li>
<li>Conduct prompt engineering and model evaluation to assess output quality, reliability, and limitations</li>
<li>Stay current with developments in generative AI, NLP, and vector-based retrieval and bring relevant advances into organizational practice</li>
</ul><h3 class="jobSectionHeader">Applied NLP &amp; ML</h3>
<ul><li>Apply advanced NLP techniques to multilingual, unstructured text data including entity extraction, classification, clustering, and semantic search</li>
<li>Work with vector embeddings and embedding models to support similarity search and knowledge retrieval</li>
<li>Evaluate and select appropriate models and frameworks for specific research tasks, balancing performance, cost, and interpretability</li>
<li>Maintain awareness of ML fundamentals and apply sound experimental design when testing approaches</li>
</ul><h3 class="jobSectionHeader">Analyst &amp; Investigator Support</h3>
<ul><li>Partner closely with research and program teams to understand investigative data needs</li>
<li>Translate complex analytical requirements into tractable ML or AI problem framings</li>
<li>Build and document tools and workflows that empower non-technical investigators to work with AI outputs effectively</li>
<li>Communicate model limitations, uncertainty, and appropriate use clearly to non-technical stakeholders</li>
</ul><h3 class="jobSectionHeader">Data Visualization &amp; Communication</h3>
<ul><li>Develop clear visualizations and summaries that communicate analytical findings to internal and external audiences</li>
<li>Contribute to written outputs including technical documentation, research memos, and methodology notes</li>
<li>Present findings and methodologies to program teams and organizational leadership</li>
</ul><h3 class="jobSectionHeader">External Engagement</h3>
<ul><li>Participate in technical demos and engagements with external partners and clients</li>
<li>Advise external stakeholders on AI-assisted research approaches and appropriate use of generative AI tools</li>
<li>Represent C4ADS's technical capabilities in partnership and grant contexts where relevant</li>
</ul><h2 class="jobSectionHeader">Required Qualifications</h2>
<h3 class="jobSectionHeader">Skills &amp; Experience</h3>
<ul><li>2-4 years of experience in data science, applied ML, or NLP research (professional, academic, or a strong combination)</li>
<li>Strong understanding of NLP fundamentals and generative AI concepts including transformers, embeddings, RAG, and prompt engineering</li>
<li>Proficiency in Python for data processing, modeling, and pipeline development</li>
<li>Working knowledge of SQL and relational data</li>
<li>Hands-on experience with LLM application frameworks such as LangChain, LlamaIndex, or similar</li>
<li>Experience working with vector databases or embedding-based retrieval (Pinecone, Weaviate, pgvector, or similar)</li>
<li>Familiarity with AWS cloud services for storing and processing data</li>
<li>Experience working with government datasets, legal documents, or public records is a plus</li>
<li>Proficiency with Git and collaborative development practices</li>
</ul><h3 class="jobSectionHeader">Domain Knowledge</h3>
<ul><li>Background in international affairs, global security, conflict, sanctions, or illicit finance through coursework, research, or professional experience in the public sector, journalism, or other similar investigative and research fields.</li>
<li>Familiarity with OSINT methods or open-source research practices</li>
</ul><h3 class="jobSectionHeader">Education</h3>
<ul><li>Bachelor's or advanced degree in Data Science, Computer Science, Mathematics, Statistics, or a related technical field preferred, equivalent demonstrated experience considered</li>
</ul><h3 class="jobSectionHeader">Professional Competencies</h3>
<ul><li>Ability to independently scope and execute research projects, including shaping deliverables in collaboration with non-technical analytical teams</li>
<li>Strong analytical rigor with comfort questioning model outputs, stress-testing assumptions, and designing evaluations that surface failure modes</li>
<li>Thoughtful approach to AI ethics and responsible use, including awareness of bias, hallucination risks, and the stakes of applying AI in sensitive investigative contexts</li>
<li>Strong written and verbal communication skills, including ability to explain technical concepts to non-technical audiences</li>
<li>Collaborative working style with comfort operating across research and technical teams</li>
<li>Intellectual curiosity and genuine interest in the organization's mission</li>
</ul><h2 class="jobSectionHeader">Preferred Qualifications</h2>
<ul><li>Familiarity with Palantir Foundry or similar enterprise data platforms</li>
<li>Experience with graph databases or network analysis (Neo4j or similar)</li>
<li>Background in a nonprofit, policy, journalism, or national security research context</li>
<li>Experience with multilingual NLP or working across non-English language datasets</li>
</ul><h2 class="jobSectionHeader">Working Conditions</h2>
<ul><li>Hybrid role based in Washington, DC, with a minimum of 2 in-office days per week</li>
<li>Standard business hours with occasional flexibility required based on project needs</li>
<li>Highly collaborative team environment with regular cross-functional engagement across research data, and operations teams</li>
</ul><h2 class="jobSectionHeader">Compensation &amp; Benefits</h2>
<ul><li>Salary: $95,000</li>
<li>Benefits: Medical, Dental, and Vision insurance</li>
<li>Retirement: Voluntary 401(k) with 4% employer match</li>
<li>Time Off: Unlimited vacation and flex time, emphasizing outcomes over hours</li>
<li>Learning: $4,500 annual education stipend to grow your skills and language capabilities</li>
<li>Development: Access to customizable professional development resources</li>
<li>Culture: A mission-driven team that values hard work, creativity, and a healthy, supportive workplace</li></ul></div>

Data Scientist

Capgemini

<div>
 
 Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Data Scientist to develop and deploy models and methodologies that enable pattern analysis, predictive modeling, intelligent automation, and AI/ML solutions. The successful candidate will have the opportunity to conceive and deliver innovative data science solutions to the U.S. Public Sector to help address critical national and global challenges such as health, climate change, and national security. This individual will join our Data and AI practice in the DC Metro Area. As a part of the rapidly expanding CGS Data and AI practice, the candidate will also help our clients develop, deploy, and modernize their data science products and ecosystems.
 
 
 At Capgemini, we are committed to our staff&rsquo;s professional development and offer a wide range of training and educational resources. In addition to our internal learning sites, we partnered with Coursera and Degreed to offer our staff the latest courses from academic institutions around the world. We provide education expense reimbursements as well as sponsor seminars, conferences, and certifications. Our practice leaders work with every team member to chart appropriate career paths and goals to ensure that we all stay innovative and transformative, which maximizes our ability to scale up our solutions, keep up with the cutting edge, and bring the art of what&rsquo;s possible to the Federal Government.
 
 
 
 Job Responsibilities
 
 
 
 As a Data Scientist you will:
 
 <ul>
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 Conduct exploratory data analysis to evaluate data pipelines and construct data stores (structured, semi-structured, and unstructured) as needed to feed frameworks/models
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 Develop custom algorithms, frameworks, and models or leverage available tools, libraries, and applications to solve complex problems
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 Deploy data science and AI/ML solutions and develop methodologies to scale up
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 Present and articulate findings and present solutions to clients and team members
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 Collaborate with internal and external stakeholders to pattern analysis, predictive modeling, intelligent automation, GenAI, OCR, NLP, fraud detection, and other business cases for using data science, machine learning, and artificial intelligence
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 </ul>
 <ul>
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 Maintain knowledge of advances of data science in industry and academia
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 Contribute to the overall growth of the Data and AI practice
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 </ul>
 
 &nbsp;
 
 
 
 Required&nbsp;Qualifications
 
 
 <ul>
 <li>
 U.S. Citizenship is required
 </li>
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 Eligible to obtain and maintain a Government Security Clearance
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 Be at client site full time in Washington, DC
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 Bachelor&rsquo;s degree or higher in data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred
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 Minimum of three (3) years of professional experience (relevant advanced degrees may substitute equivalent number of years) with data science, AI/ML, or deep learning delivery&nbsp;responsibilities such as:
 </li>
 <ul>
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 Designing and developing data models and algorithms for multi-objective optimization and decision making
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 Building and deploying predictive and prescriptive analytics
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 Conducting hypothesis testing, statistical and probability analyses
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 Applying appropriate methods to describe statistical relationships between variables
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 Performing multiple correspondence analysis (MCA), principal component analysis (PCA, and association rule mining
 </li>
 </ul>
 <li>
 Experience using tools such as Databricks; Azure&rsquo;s Machine Learning and AI Services; AWS&rsquo;s SageMaker and Bedrock
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 Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C++, and Java
 </li>
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 Experience using libraries and frameworks such as TensorFlow, PyTorch, mpi4py, Spark ML/MLlib, Jupyter, h2o, keras, or mir
 </li>
 <li>
 Experience collecting in managing large data sets in cloud-based databases, data lakes, and data warehouses such as Oracle EDW, SQL Server, or MS Access
 </li>
 <li>
 Ability to multi-task and stay flexible in a dynamic work environment
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Preferred/Nice to Have Qualifications
 
 
 <ul>
 <li>
 Active Government Security clearance
 </li>
 <li>
 Experience developing algorithms for High-Performance Computing (HPC) environments using custom multi-core desktop computers and MS MPI
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 <li>
 Experience with Deep Learning methods in NLP, sentiment analysis, topic modeling, and graph theory and databases
 </li>
 <li>
 Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka
 </li>
 <li>
 Experience working in an IT project team following SDLC and DevOps methodologies
 </li>
 </ul>
 
 &nbsp;
 
 
 About Capgemini
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &amp;euro;22.1 billion.
 
 Get The Future You Want | www.capgemini.com
 
 Disclaimer
 
 
 All qualified applicants will be considered for employment based on their skills, and merit.
 
 Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $100k - $120k.&nbsp;This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.
 
 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
 
 
 This employer is required to notify all applicants of their rights pursuant to federal employment laws.
 
 For further information, please review the Know Your Rights notice from the Department of Labor.
</div>

BryceTech

<div>
 BryceTech is a trusted leader in complex technology domains, delivering data-driven solutions in aerospace, biosecurity, and defense. We specialize in systems engineering, advanced analytics, R&amp;D programs, and strategic advisory support. Our clients &ndash; including NASA, DoD, HHS, DHS, and other civil and national security agencies &ndash; rely on us to drive mission success and accelerate innovation.
 
 
 BryceTech has been recognized in the
 
 Washington Technology
 
 Fast 50 ranking of top high-growth small businesses for five consecutive years and received a GovCon Contractor of the Year Award in 2025, underscoring our strong growth, competitive positioning, and excellence in federal contracting. With a proven track record of winning sought-after contracts, scaling high-performance teams, and executing on critical government missions, BryceTech presents a compelling opportunity for strategic partnerships in the GovCon space.
 
 
 
 Job Description
 
 
 
 This position supports the Office of the Under Secretary of War for Research &amp; Engineering (OUSW(R&amp;E)).
 
 
 The Task Order Program Manager (PM) serves as the single point of contact to the Government and is responsible for the full lifecycle management of a highly technical, classified engineering support task order focused on prototyping, experimentation, and advanced warfighting capability development. This role operates at the Pentagon level, supporting senior leadership and coordinating across the Joint Staff, Military Services, and Combatant Commands.
 
 
 
 RESPONSIBILITIES:
 
 
 
 <ul>
 <li>
 Lead execution of a multi-disciplinary technical team supporting mission engineering, prototyping, experimentation, and advanced technology integration
 </li>
 <li>
 Manage technical, cost, schedule, and performance across all task order activities
 </li>
 <li>
 Serve as the primary interface with the COR and senior OUSW(R&amp;E) stakeholders
 </li>
 <li>
 Oversee delivery of engineering, analytical, and experimentation support aligned to Joint Warfighting Concepts (JWC) and Joint Operational Problems (JOPs)
 </li>
 <li>
 Ensure integration across key technical domains including AI/ML, cyber, C5ISRT, autonomy, hypersonics, and multi-domain operations
 </li>
 <li>
 Direct and coordinate classified program execution, including activities within SAP and SCI environments
 </li>
 <li>
 Lead program planning, risk management, and quality assurance (QASP/QC) processes
 </li>
 <li>
 Manage and mentor a team of highly skilled SMEs, engineers, and analysts
 </li>
 <li>
 Provide strategic insight and recommendations to Government leadership on emerging technologies and mission capabilities
 </li>
 <li>
 Ensure compliance with DoD 5000 series acquisition processes and all applicable security and contract requirements
 </li>
 <li>
 Coordinate surge support, experimentation events, and cross-organizational collaboration efforts
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 REQUIRED:
 
 
 
 <ul>
 <li>
 Active Top Secret Clearance with SCI (TS/SCI)
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering or Physical Sciences
 </li>
 <li>
 10+ years of experience managing large-scale RDT&amp;E, engineering, or technology development programs
 </li>
 <li>
 10+ years as a lead or deputy program manager for major technology programs
 </li>
 <li>
 5+ years of experience operating in highly classified environments (SCI/SAP)
 </li>
 <li>
 Demonstrated experience managing programs or portfolios valued at $100M+
 </li>
 <li>
 Proven experience leading multi-disciplinary technical teams in classified environments
 </li>
 <li>
 Experience supporting DoD acquisition lifecycle (DoD 5000 series)
 </li>
 <li>
 Strong background in systems engineering, mission engineering, or advanced technology development
 </li>
 <li>
 Experience working within or supporting OUSw(R&amp;E), Joint Staff, or Service-level organizations
 </li>
 <li>
 Exceptional leadership, communication, and stakeholder engagement skills
 
 
 </li>
 </ul>
 
 PREFERRED:
 
 
 
 <ul>
 <li>
 Experience supporting Prototyping &amp; Experimentation (P&amp;E) or similar innovation organizations
 </li>
 <li>
 Familiarity with Joint Warfighting Concepts (JWC) and experimentation campaigns
 </li>
 <li>
 Technical background in AI/ML, cyber operations, RF/EM, or autonomous systems
 </li>
 <li>
 Prior experience managing SETA or A&amp;AS contracts of similar scope and complexity
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 This position is contingent upon contract award.
 
 
 BryceTech offers a full range of benefits, including competitive salary, a comprehensive health plan including dental and vision coverage, company-paid life &amp; disability insurance policies, 401(k) plan with company match, and an educational reimbursement program.
 
 
 All your information will be kept confidential according to EEO guidelines.
</div>

Task Order Program Manager - DoW

Serko Ltd

<div>Serko is a cutting-edge tech platform in global business travel &amp; expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world&rsquo;s leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change.
With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place, we&rsquo;re hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. 
 
This role can be based in West Coast USA - we would be open to candidates in other locations as well with proven experience and expertise. 
Requirements 
We are building a foundational AI division at Serko and looking for a Senior Data Scientist to help us move from concept to MVP at velocity. 
This is a hands-on role for someone who prefers building over maintaining. You&rsquo;ll be implementing models within AI-agentic environments, specifically focusing on Recommender Systems, Ranking algorithms, and Reinforcement Learning. 
 
What you'll do<ul><li>
Architect and lead the deployment of sophisticated data science solutions that define the technical direction for Serko&rsquo;s AI-agentic ecosystem.</li><li>
Design the foundational frameworks for model integration within multi-agent environments, overseeing the implementation of high-scale Recommender Systems, Ranking algorithms, and advanced Deep Learning architectures (e.g., Heterogeneous Graph Transformers).</li><li>
Set the standard for technical excellence and velocity, establishing the protocols for scoping and prioritizing complex, cross-functional projects.</li><li>
De-risk the most ambiguous and high-stakes technical challenges, proactively adapting emerging AI technologies to ensure Serko remains a market leader.</li><li>
Partner with Leadership to co-create AI-first product strategies, ensuring the long-term roadmap is anchored in technical feasibility and measurable commercial outcomes.</li><li>
Anticipate market shifts and technological risks, identifying long-term opportunities that leverage proprietary data to create a competitive &quot;moat.&quot;</li><li>
Command executive-level influence by translating complex technical trajectories into strategic business cases for the C-suite and key global partners.</li><li>
Sponsor and elevate the technical community, raising the collective &quot;technical ceiling&quot; of the organization through high-level mentorship and the establishment of best practices.</li></ul>
What you'll bring<ul><li>
At least 8-10+ years of proven experience building and scaling production-grade ML systems that have moved the needle on global business metrics.</li><li>
Deep technical mastery in machine learning and applied statistics, with a track record of implementing &quot;bleeding-edge&quot; techniques in a commercial environment.</li><li>
Authority in experimentation and systems design, with the ability to build for extreme scalability, maintainability, and reliability across global regions.</li><li>
Executive-level communication skills, with a demonstrated ability to influence organizational strategy and navigate complex stakeholder landscapes.</li><li>
Strategic product intuition, understanding how to balance long-term architectural health with the immediate needs of a fast-paced product development cycle.</li><li>
Proven technical leadership, with experience guiding senior engineers/scientists through complex pivots and high-pressure launches.</li><li>
Advanced software engineering fluency (Python and modern data stacks), with a focus on building modular, reusable, and production-hardened AI components.</li><li>
Visionary and resilient mindset, comfortable owning the &quot;blank page&quot; and driving clarity in environments of extreme ambiguity.</li></ul> 

Benefits 
At Serko, we aim to create a place where people can come and do their best work. This means you&rsquo;ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact.
Some of the benefits of working at Serko are:<ul><li>
A competitive base pay</li><li>
Medical Benefits</li><li>
Discretionary incentive plan based on individual and company performance</li><li>
Focus on development: Access to a learning &amp; development platform and opportunity for you to own your career pathways</li><li>
Flexible work policy</li><li>
The pay range is between $184,000 - $270,000 USD as a base salary offering annually.</li></ul></div>

Principal Data Scientist

Booz Allen Hamilton

<div>AI DevOps Engineer
The Opportunity: 
Imagine using artificial intelligence (AI) to improve critical IT operations for warfighting and intelligence clients. As a DevOps engineer, you know how to create efficient and effective solutions&mdash;so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we&rsquo;re looking for a DevOps engineer with knowledge of AIOps, MLOps, ModelOps, and DataOps to develop tools&mdash;and get them into the hands of those on the frontlines who need them most.
On our team, you&rsquo;ll streamline IT operations to enhance platform productivity to improve intelligence utilization and dissemination. You&rsquo;ll automate operational AI workflows, creating, hosting, and updating cloud-based AI models to support mission-critical operations, working at the ground level to deliver solutions that matter. This is your opportunity to deepen your experience in AIOps and help solve our intel client's toughest problems.
Are you ready to transform our nation's intelligence community with AIOps?
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
2+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments, including with Kubernetes, Docker, or Jenkins</li><li>
2+ years of experience with scripting languages, such as Python or Linux Shell Script</li><li>
Experience with artificial intelligence and machine learning frameworks for monitoring and optimization</li><li>
Experience with containerization and container orchestration platforms and tools</li><li>
Experience adding testing and security scans to pipelines</li><li>
Active TS/SCI clearance; willingness to take a polygraph exam</li><li>
Bachelor's degree</li></ul>
Nice If You Have:<ul><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform</li><li>
Experience with integrating AI systems architecture, AI platforms, or MLflow</li><li>
TS/SCI clearance with a polygraph</li><li>
ML, DevOps, or Solution Architecture Certification</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AI DevOps Engineer

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