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ai engineer

WilmerHale

<div><div><p>WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.</p>
<p><b>
About the Role</b></p>
<p>
The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.
</p><p><b>What You Will Be Doing</b></p>
<ul><li> Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.</li></ul>
<ul><li> Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services. Provides updates and recommendations to Director, Application Services.</li></ul>
<ul><li> Optimizes existing generative AI models for improved performance, scalability, and efficiency.</li></ul>
<ul><li> Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.</li></ul>
<ul><li> Contributes to the establishment of best practices and standards for AI development within the organization.</li></ul>
<ul><li> Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.</li></ul>
<ul><li> Provides functional and technical support and enhancements for the firm&rsquo;s AI solutions.</li></ul>
<ul><li> Provides technical mentorship and guidance to other team members.</li></ul>
<ul><li> Creates and delivers end-user training and documentation and provides second-line support to other users.</li></ul>
<ul><li> Displays professionalism, quality service and a positive &quot;can do&quot; attitude to internal members/departments of the Firm.</li></ul>
<ul><li> Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.</li></ul>
<ul><li> Participates in special projects and performs other duties as assigned.</li></ul>
</div>
<div>Required Skills
</div>
<div><p><b>What You Will Bring to This Position</b></p>
<ul><li> Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,</li></ul>
<ul><li> Experience building recommendation models.</li></ul>
<ul><li> Strong knowledge of data structures, algorithms, and software engineering principles.</li></ul>
<ul><li> Familiar with cloud-based platforms and services, such as Azure or AWS.</li></ul>
<ul><li> Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.</li></ul>
<ul><li> Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.</li></ul>
<ul><li> Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.</li></ul>
<ul><li> Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.</li></ul>
<ul><li> Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.</li></ul>
<ul><li> Willingness and ability to learn and use new technologies as the need arises.</li></ul>
<ul><li> Ability to work effectively with both users and technical staff in team-oriented environments.</li></ul>
<ul><li> Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.</li></ul>
<ul><li> Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.</li></ul>
<ul><li> A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
</li></ul><ul><li> Hands-on experience with LLMs fine-tuning is a plus.</li></ul>
<ul><li> Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.</li></ul>
<ul><li> The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.</li></ul>
</div>
<div>Required Experience
</div><div><ul><li>1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3</li>
<li>2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology</li>
<li>4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus</li>
<li>Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)</li>
</ul>
<p><b>Education</b></p>
<ul>
<li>Bachelor&rsquo;s Degree preferred. Equivalent experience may be considered in lieu of education requirements.</li></ul><br>
<p></p>
<p><b>
Our Commitment</b></p>
<p>
Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
</p><p>For more information about Equal Employment Opportunity, please click here.</p>
<p>
Hire in salary range is $135,000 - $169,000</p>
<ul><li> For additional information about our benefits, please click here</li></ul>
<p>
#L1-KB1</p>
<p>
#L1-Hybrid</p>
<p>
This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.</p>
</div>
<div>Job Location
</div><div>Washington, District of Columbia, United States
</div><div>Position Type
</div><div>Full-Time/Regular
</div><div>Salary
</div><div>135,000.00 - 169,000.00 USD</div></div>

Artificial Intelligence (AI) Engineer

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p><p>
Job Description</p><div><p>
The AI/ML Engineer is responsible for designing, developing, and implementing machine learning models and artificial intelligence solutions to solve complex problems, optimize processes, and enhance decision-making. They work closely with data scientists and software engineers to build scalable, efficient systems while leveraging advanced algorithms and large datasets.</p><ul><li><p>
Design, develop, implement and use machine learning algorithms and models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommendation systems.</p></li><li><p>
Collect, clean, and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality, integrity and relevance for model training and evaluation.</p></li><li><p>
Train, validate, and optimize machine learning models using state-of-the-art techniques and frameworks. Evaluate model performance, interpret results, and iterate on model design as needed.</p></li><li><p>
Extract, select, and engineer relevant features from raw data to improve model performance and generalization capabilities. Utilizes domain knowledge and data exploration techniques to identify informative features.</p></li><li><p>
Deploy machine learning models into production environments, integrating them with existing systems and applications. Implements scalable, efficient, and reliable solutions for real-time batch inference.</p></li><li><p>
Monitor model performance, reliability, and scalability in production environments, implementing automated monitoring and alerting systems to detect anomalies and performance degradation.</p></li><li><p>
Document technical designs, implementation details, and best practices for AI solutions.</p></li><li><p>
Collaborate with cross-functional teams to include data scientists, software engineers, product managers, and other stakeholders to understand requirements, prioritize projects and delivery impactful AI Solutions.</p></li><li><p>
Perform additional duties as assigned.</p></li><li><p>
May coach and provide guidance to less experienced professionals.</p></li><li><p>
May serve as a team or task lead.</p></li><li><p>
Works independently under general supervision</p></li></ul><p></p><p>
To qualify, you must meet these basic qualifications:</p><p>
Required Skills</p><ul><li><p>
Bachelor&rsquo;s degree in relevant field and 5+ years of experience</p></li><li><p>
Analytical &amp; Programming</p></li><li><p>
Strong Python (data manipulation, model development; libraries like Pandas, NumPy, scikit-learn).</p></li><li><p>
SQL proficiency (joins, window functions, performance-aware queries).</p></li><li><p>
Statistical foundations (probability, hypothesis testing, regression, experimental design/A-B testing).</p></li><li><p>
Data Modeling</p></li><li><p>
End-to-end ML workflow experience (feature engineering, training, validation, deployment, monitoring).</p></li><li><p>
Data wrangling &amp; ETL/ELT (building reliable pipelines; handling messy, large datasets).</p></li><li><p>
Model evaluation (metrics selection, bias/variance trade-offs, error analysis).</p></li><li><p>
AI Integration w/ MLOps</p></li><li><p>
Hands-on API integration for AI services (e.g., calling model endpoints, building microservices).</p></li><li><p>
Production deployment of models (packaging, versioning, CI/CD for ML).</p></li><li><p>
Model monitoring (drift detection, performance tracking, retraining triggers).</p></li><li><p>
Cloud Platforms</p></li><li><p>
Experience with at least one major cloud (Azure, AWS, or GCP) for data/AI workloads.</p></li><li><p>
Familiarity with containers (Docker) and source control (Git).</p></li><li><p>
Data visualization skills (Power BI or Tableau) to communicate insights and outcomes.</p></li><li><p>
Communication</p></li><li><p>
System analysis skills to identify viable AI insertion points in processes, products, or workflows.</p></li><li><p>
Stakeholder communication (translating technical findings into business value and concrete recommendations).</p></li><li><p>
Documentation of models, assumptions, data lineage, and decisions.</p></li><li><p>
Governance/Security</p></li><li><p>
Responsible AI awareness (fairness, explainability, privacy, and compliance considerations).</p></li><li><p>
Basic understanding of data security and access controls in production environments.</p></li></ul><p></p><p>
Preferred Skills</p><ul><li><p>
Advanced AI/LLM</p></li><li><p>
Experience with LLMs (e.g., Azure OpenAI Service/OpenAI API) for summarization, classification, or copilots.</p></li><li><p>
Prompt engineering and evaluation of LLM outputs for quality and safety.</p></li><li><p>
RAG pipelines (retrieval-augmented generation), vector databases (e.g., Azure AI Search, Pinecone, FAISS), and embeddings.</p></li><li><p>
Fine-tuning or model adaptation strategies for domain-specific use cases.</p></li><li><p>
MLOps Engineering</p></li><li><p>
Model orchestration/experiment tracking (MLflow, Weights &amp; Biases).</p></li><li><p>
Kubernetes and ML deployment tools (e.g., AKS/EKS, Argo, KServe).</p></li><li><p>
Feature stores, A/B testing frameworks, and event-driven/streaming data (Kafka, Kinesis).</p></li><li><p>
CI/CD pipelines (GitHub Actions, Azure DevOps) and Infrastructure as Code (Terraform, Bicep).</p></li><li><p>
Data Platform Integration</p></li><li><p>
Databricks, Snowflake, or BigQuery experience.</p></li><li><p>
Building robust APIs (REST/GraphQL) and microservices around models.</p></li><li><p>
Monitoring &amp; Observability (Prometheus, Grafana; app &amp; model logs).</p></li><li><p>
Responsible AI &amp; Compliance</p></li><li><p>
Practical experience with model risk management, documentation standards, and explainability (SHAP, LIME).</p></li><li><p>
Knowledge of privacy-by-design and PII handling (data minimization, anonymization).</p></li><li><p>
(If applicable to the environment) familiarity with FedRAMP or regulated environments.</p></li><li><p>
Additional Languages/Tools</p></li><li><p>
R, PySpark, or Scala for data-intensive workloads.</p></li><li><p>
LangChain or Semantic Kernel for LLM app development.</p></li><li><p>
Tableau/Power BI advanced (parameterized dashboards, Row-Level Security).</p></li><li><p>
Ability to support 24x7 environment for business critical and contractual SLA impacting issues</p></li></ul><p></p><p>
Clearance: Candidates must be eligible to obtain a federal security clearance</p><div><br>
GDIT IS YOUR PLACE<br>
At GDIT, the mission is our purpose, and our people are at the center of everything we do.<br>
<ul><li>Growth: AI-powered career tool that identifies career steps and learning opportunities</li><li>Support: An internal mobility team focused on helping you achieve your career goals</li><li>Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off</li><li>Flexibility: Full-flex work week to own your priorities at work and at home</li><li>Community: Award-winning culture of innovation and a military-friendly workplace</li></ul><br>
OWN YOUR OPPORTUNITY<br>
Explore a career in data science and engineering at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.</div>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
5 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
None</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

AI/ML Engineer

Google

<div>Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.<br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Reston, VA, USA; Washington D.C., DC, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience.<br>
</li>
<li>6 years of experience building machine learning solutions and working with technical customers.<br>
</li>
<li>Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.<br>
</li>
<li>Experience with frameworks for deep learning (e.g., Tensorflow, Jax, PyTorch, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.</li>
<li>Must possess an active Top Secret/SCI security clearance.</li>
<li>Ability to travel up to 30% of the time.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul><li>
Experience with LLMs and LLM-based solutions such as prompt engineering, fine-tuning, RAG workflows, and agentic systems.</li><li>
Experience in containerizing ML workloads within Linux/Unix environments.</li><li>
Ability to lead the design and implementation of AI-based solutions, web services, and debugging tools.</li><li>
</li></ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google&rsquo;s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.<br>
<br>
The GPS AI Catalyst Team (ACT) is dedicated to supercharging AI adoption across the Public Sector. By tightly aligning our engineering efforts with Go-to-Market and Google Public Sector Services, we incubate and productionalize differentiated AI solutions to solve repeatable mission-critical use cases. We serve as the technical backbone and trusted advisors for customers, ensuring the swift and secure integration of AI solutions, from initial concept through sustained deployment.<br>
<br>
As an AI/ML Engineer, you will be a key member of the Google Cloud Consulting Professional Service Organization, guiding customers through their business transformation by leveraging Google's AI technologies. You will design, prototype, and implement modern technical architectures. This role involves acting as a trusted technical advisor, resolving challenges, and sharing best practices through various forms of technical content.<div></div><p><br>
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.</p><p><br>
The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Be a trusted technical advisor to customers and solve complex machine learning challenges.<br>
</li>
<li>Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.<br>
</li>
<li>Work with customers, partners, and Google Product teams to deliver tailored solutions into production.<br>
</li>
<li>Coach customers on the practical challenges in ML systems: feature extraction/feature definition, data validation, monitoring, and management of features/models.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

AI/ML Engineer, National Security, Google Public Sector

Cato Institute

<div>Description:
<p>
The Cato Institute seeks qualified candidates for the Senior Research Engineer, Applied AI position. AI tools are proliferating rapidly. Making them genuinely useful for policy research requires someone who bridges the gap between what these systems have the potential to do with the breadth, depth, precision, and traceability that good research demands.</p><p>
The Cato Institute has already begun creating AI-enhanced research capabilities. The Senior Research Engineer, Applied AI, joins that effort as Cato&rsquo;s first dedicated engineering position focused on the research domain &mdash; a role with significant latitude to shape how research technology evolves at Cato.</p><p>
The Senior Research Engineer closely partners with research teams, understanding their problems and identifying where AI and other advanced methods can make a real difference.</p><p>
And the Senior Research Engineer gets their hands dirty, building state-of-the-art, research-grade tooling and capabilities &mdash; such as context engineering architectures, AI output benchmarking tools, and literature discovery systems.</p><p>
Project priorities emerge through consultation between the Senior Research Engineer, the CTA, and research leadership &mdash; a process that will take shape as this new role matures, and the Senior Research Engineer will play an active part in shaping it.</p><p><i>
The projected salary range for this role is $100,000 - $190,000 per year.</i></p><p><i>
Compensation is based on the successful candidate's educational background, experience, and skills.</i></p><p><b>
About Cato</b></p><p>
The Cato Institute is a public policy research organization &mdash; a think tank &mdash; dedicated to the principles of individual liberty, limited government, free markets, and peace. Its scholars and analysts conduct independent, nonpartisan research on a wide range of policy issues.</p><p>
Founded in 1977, Cato owes its name to Cato&rsquo;s Letters, a series of essays published in 18th-century England that presented a vision of a society free from excessive government power. Those essays inspired the architects of the American Revolution. And the simple, timeless principles of that revolution &mdash; individual liberty, limited government, and free markets &mdash; turn out to be even more powerful in today&rsquo;s world of global markets and unprecedented access to information than Jefferson or Madison could have imagined. Social and economic freedom is not just the best policy for a free people, it is the indispensable framework for the future.</p><p>
Cato Institute is an Equal Opportunity Employer.</p><p><b>
Responsibilities</b></p><ul><li>
Organize and support a cross-department working group to:</li></ul><ul><li>Identify opportunities for AI-enhanced research methods</li><li>Establish best practices, training materials, and reusable templates that help scholars leverage AI tools effectively</li></ul><ul><li>
Build research tools and multi-step AI workflows that improve how scholars work, iterating system architecture and integrations based on their feedback and usage</li><li>
Design and implement context engineering systems to structure Cato&rsquo;s policy research for accurate retrieval and analysis by AI agents</li><li>
Evaluate AI outputs against scholarly standards, diagnosing whether poor results stem from context gaps, architectural flaws, or model limitations &mdash; and implement programmatic guardrails that enforce analytical rigor and empirical honesty</li><li>
Partner with scholars and data visualization specialists on the technical infrastructure of major reports</li></ul><p><b>
Likely Initial Focus Areas (First 6-12 Months)</b></p><ul><li>
Launch the cross-department AI-enhanced research working group</li><li>
Discover existing research technology usage and workflows between multiple Cato research departments</li><li>
Devise and execute empirical assessment methods for custom AI instructions already in use</li><li>
Build tools and create technical organization to address opportunities identified by the working group and discovery</li></ul>
Requirements:
<p><b>
Education and Experience</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, data science, statistics, economics, computational social science, or a related quantitative or technical field</li><li>
5+ years of experience building software, tools, or data systems, including experience in or serving research, policy, government, or academic environments</li><li>
Expertise building LLM-enabled systems (prompting, retrieval/context construction, tool use, and evaluation), and iterating them based on structured empirical evaluation</li><li>
Proficiency with multiple major LLMs: ChatGPT, Claude, Gemini, and/or Grok</li><li>
Proficiency with Python to build research tools and integrate AI capabilities</li><li>
Working knowledge of Claude Code, Codex, or similar agentic AI development tools</li><li>
Familiarity with research methods and analytical workflows in a policy, academic, or government setting &mdash; sufficient to collaborate meaningfully with researchers and evaluate whether tool outputs meet scholarly standards</li></ul><h4 class="jobSectionHeader"><b>
Knowledge and Skills</b></h4><ul><li>
Strong written and verbal communication, with the ability to explain technical concepts to non-technical researchers and document systems clearly</li><li>
Self-directed, intellectually curious, and comfortable working across departments in an advisory and collaborative capacity</li><li>
Familiarity with Cato's work or demonstrated interest in public policy</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li>
A demonstrated ability to rapidly acquire new technical skills from first principles to adapt to the highly accelerated pace of AI development</li><li>
Experience with SQL and data pipeline tools to transform and structure research datasets for analysis and retrieval</li><li>
Experience with R, Stata, or other research-oriented programming languages</li><li>
Familiarity with cost-performance trade-offs across AI model tiers</li><li>
Familiarity with think tank, government, or academic research environments</li></ul><p><b>
Benefits</b></p><p>
All Cato employees are provided:</p><ul><li>
Medical, dental, and vision insurance</li><li>
Employer contribution to a Health Savings Account (HSA)</li><li>
Generous vacation and sick days</li><li>
Paid parental leave</li><li>
Employer-provided life and disability insurance</li><li>
401(k) employer match</li><li>
Transit/Parking benefits</li><li>
Pet discount plan</li></ul><p><b>
To Apply</b></p><p>
Please submit the following materials:</p><ul><li>
Resume or CV</li><li>
A cover letter &mdash; written by your own hand, not with the LLM tools you&rsquo;ve mastered, so we can best understand your genuine thought process &mdash; detailing your experience at the intersection of research and engineering, your interest in leveraging AI and other advanced technology for policy research, and why Cato&rsquo;s mission appeals to you</li><li>
Optional: links to code repositories, personal projects, or technical writing</li></ul><p><i>
Applicants must be currently authorized to work in the United States on a full-time basis. This position does not offer visa sponsorship.</i></p></div>

Senior Research Engineer, Applied AI

Software Engineer, Machine Learning

Andiamo

<div>
 Data Scientist with TS SCI Clearance
 <br/>
 <br/>
 This role sits at the intersection of advanced analytics, machine learning, and mission driven work. You will help design and deliver intelligent data solutions that operate in complex, high impact environments. The work is hands on, technically challenging, and directly connected to real world decision making across defense, intelligence, and national security focused programs.
 <br/>
 <br/>
 You will join a platform focused data science team responsible for taking ideas from concept to fully deployed production systems. This position offers meaningful growth for individuals who want to expand their technical depth, increase customer impact, and grow into senior or leadership roles over time.
 <br/>
 <br/>
 What You Will Do
 <br/>
 <br/>
 <ul>
  <li>
   Design, build, and deploy production grade machine learning and analytics solutions using a modern AI and data science platform
  </li>
  <li>
   Take ownership of customer engagements, working directly with complex datasets from initial exploration through operational deployment
  </li>
  <li>
   Translate ambiguous mission needs into clear technical approaches and scalable data products
  </li>
  <li>
   Develop models and analytics pipelines that integrate with large scale data ecosystems and cloud based data platforms
  </li>
  <li>
   Collaborate closely with engineers, analysts, and stakeholders to ensure solutions are reliable, explainable, and impactful
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Active TS SCI security clearance with willingness to work in secure facilities as required
  </li>
  <li>
   Based in or near Washington DC or Northern Virginia with the ability to access SCIF locations
  </li>
  <li>
   Ability and willingness to travel regularly to client sites and military installations
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a closely related field
  </li>
  <li>
   At least three years of experience writing production quality Python code
  </li>
  <li>
   Strong experience with the Python data ecosystem including libraries such as pandas, numpy, scikit learn, TensorFlow, PyTorch, and visualization tools
  </li>
  <li>
   Hands on experience deploying machine learning models into live production environments
  </li>
  <li>
   Experience working with relational and non relational databases such as SQL, NoSQL, search engines, or graph systems
  </li>
  <li>
   Solid understanding of version control workflows using Git or similar tools
  </li>
  <li>
   Practical experience with containerization or orchestration technologies such as Docker or Kubernetes
  </li>
  <li>
   Strong ownership mindset with the ability to drive work forward independently
  </li>
  <li>
   Clear and effective written and verbal communication skills in English
   <br/>
   <br/>
  </li>
 </ul>
 Nice to Have
 <br/>
 <br/>
 <ul>
  <li>
   Experience leading or coordinating data science projects within a SCIF environment
  </li>
  <li>
   Background in cyber analytics including network traffic analysis, PCAP data, vulnerability analysis, or related domains
  </li>
  <li>
   Experience integrating analytics systems with distributed processing frameworks such as Spark, Dask, Snowpark, or Kafka
  </li>
  <li>
   Exposure to workflow orchestration tools or scheduling systems such as Airflow, Celery, or Prefect
  </li>
  <li>
   Experience building or supporting lightweight web applications or APIs using frameworks like Flask or Django
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation And Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive compensation package including salary, bonus, and equity based on experience and background
  </li>
  <li>
   Comprehensive health benefits including medical, dental, and vision coverage
  </li>
  <li>
   Generous paid time off policy designed to support long term sustainability and balance
   <br/>
   <br/>
  </li>
 </ul>
 If you are excited by the idea of building advanced data science solutions that matter, working with cutting edge technology, and contributing directly to high consequence missions, this role offers a rare opportunity to do all three.
 <br/>
 <br/>
 <strong>
  About Andiamo
  <br/>
  <br/>
 </strong>
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 <br/>
 <br/>
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 <br/>
 <br/>
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>


Data Scientist - AI Decision Intelligence Platform

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>3/11/2026</p>
</div><div><p>Description</p>
<p></p><div>)***<br>
<br>
The Cyber Senior Operations Specialist (Senior Engineer &ndash; Cloud Security)
<br>
<br>
We are seeking a highly skilled Engineer to join our technology team.
<br>
<br>
The ideal candidate will excel in designing secure, scalable, and automated cloud solutions, with deep expertise in PYTHON, AWS, Container and CI/CD and Infrastructure as code (IaC) with security knowledge delivery practices.
<br>
<br>
This role will focus on building modern cloud infrastructure, automating deployments, enhancing security posture, and ensuring seamless collaboration across engineering teams.<p>
The annual base salary for this position is $140,000 - $160,000</p><p><b>
Essential Duties and Responsibilities</b></p><p>
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.</p><ul><li>
Automate operational workflows using Python.</li><li>
Build and manage CI/CD pipelines using GitLab.</li><li>
Manage AWS services and ensure secure, scalable cloud environments.</li><li>
Build, deploy, and automate containerized applications.</li><li>
Develop Infrastructure as Code using Terraform and CloudFormation.</li><li>
Implement and support cloud security tools (e.g., Wiz).</li><li>
Troubleshoot and resolve pipeline, cloud, and infrastructure issues.</li><li>
Collaborate with cross-functional engineering and security teams.</li></ul><p><b>
Technical Skills</b></p><ul><li>
Proficiency in Python scripting.</li><li>
Strong GitLab CI/CD pipeline development.</li><li>
Strong hands-on experience with AWS, including:<ul><li>
IAM</li><li>
ECS / EKS</li><li>
EC2</li><li>
S3</li><li>
CloudTrail</li><li>
CloudWatch</li><li>
CloudFront</li><li>
VPC and AWS networking</li></ul></li><li>
Infrastructure as Code with Terraform and CloudFormation.</li><li>
Strong container development and automation experience.</li><li>
Experience with cloud security tools (e.g., Wiz).</li><li>
Exposure to Azure (preferred).</li><li>
Excellent communication and interpersonal skills.</li><li>
Strong analytical and problem-solving capabilities.</li><li>
Ability to collaborate effectively across diverse teams.</li></ul><p><b>
Required Qualifications:</b></p><p>
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Cybersecurity, or related field of relevant education, certification, or related training.</li><li>
Three years of experience in Cybersecurity or related work</li><li>
Knowledge of one or more cloud platforms and cloud security</li><li>
Knowledge of general information technology (IT) and cybersecurity</li><li>
Knowledge of computer networking concepts and protocols, and network security methodologies.</li><li>
Knowledge of network traffic analysis and packet-level analysis using appropriate tools (e.g., Wireshark, tcpdump).</li><li>
Knowledge of operating systems, including Windows/Unix ports and services.</li><li>
Knowledge of modern identity and access management concepts</li><li>
Knowledge of phishing tactics and techniques</li><li>
Knowledge of advanced cyber threats and vulnerabilities.</li><li>
Knowledge of cyber-attack stages (e.g., reconnaissance, scanning, enumeration, gaining access, escalation of privileges, maintaining access, network exploitation, covering tracks).</li><li>
Knowledge of incident response and handling methodologies.</li><li>
Knowledge of threat hunting techniques</li><li>
Knowledge of countermeasures to address a variety of threats</li><li>
Knowledge around leveraging automation, ML, and/or AI</li></ul><p><b>
Preferred Qualifications:
</b></p><ul><li>AWS certifications (Solutions Architect, DevOps Engineer, etc.).</li><li>
Experience with AI/ML tools:<ul><li>
AWS Bedrock</li><li>
Streamlit</li><li>
Claude Sonnet</li><li>
Vector Databases</li></ul></li><li>
Familiarity with generative AI integrations.</li></ul><p>
Annual Base Salary Range is 140K - 160K</p><p><b>
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: </b>All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.</p><p><b><i>
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.</i></b></p><p>
EEO is the Law E-Verify IER Right to Work</p></div>
</div><div><p>Salary</p><p>
140,000.00 - 160,000.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Cyber Senior Operations Specialist (Senior Engineer – Cloud Security)

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