AI/ML Subject Matter Expert
Job in
Washington, District of Columbia, 20022, USA
Listed on 2026-01-24
Listing for:
Halvik
Full Time
position Listed on 2026-01-24
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Join to apply for the AI/ML Subject Matter Expert role at Halvik
.
Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. As a highly successful WOB business with more than 50 prime contracts and 500+ professionals, we provide Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security, and cutting‑edge technology across the US Government. Be a part of something special.
Responsibilities- Responsible for developing and implementing AI/ML solutions to solve complex problems and enhance business operations.
- Define direction of mission‑critical solutions using best‑fit AI/ML algorithms and technologies.
- Work closely with cross‑functional teams to design, develop, and deploy AI models and algorithms that enable data‑driven decision cutting.
- Conduct statistical analyses using ML techniques for customer‑focused solutions.
- Collaborate with cross‑functional teams to deliver world‑class solutions for large‑scale data processing.
- Guide clients in navigating ML algorithms, tools, and frameworks.
- Design, develop, and deploy AI models for data‑driven decision making and business innovation.
- Create intelligent systems that automate processes, improve efficiency, and drive business innovation, leveraging expertise in AI/ML, deep learning, and data analysis.
- Create, train, and maintain intelligent systems to automate processes and improve efficiency.
- Report on industry trends and recommend solutions for AI/ML integration.
- Design and build ML models solving real‑world business problems.
- Make informed ML infrastructure decisions based on modeling techniques and issues.
- Write and test application code, develop ML models, and automate tests and deployment.
- Retrain, maintain, and monitor production models.
- Leverage cloud‑based architectures to deliver optimized ML models at scale.
- Construct optimized data pipelines for ML models.
- Implement CI/CD best practices for ML model and application code deployment.
- Ensure code security, model governance, and adherence to Responsible and Explainable AI practices.
- Regularly recommend and report on industry trends and solutions to meet evolving client needs regarding techniques, tools and technologies for AI/ML integration.
- Master's degree or Bachelor of Science with 5+ years of industry experience in Computer Science, Software Engineering, Data Science, Statistics, or related STEM field.
- 5+ years of experience in AI, data science, ML engineering, or related fields.
- 4+ years of experience with modern cloud computing technologies (AWS, Databricks, Microsoft Azure or GCP).
- Experience in fine‑tuning LLMs for custom datasets and/or using RAG to augment LLM applications.
- Knowledge of multiple ways of tackling AI/ML problems and demonstrated ability to make good initial choices to make systems that perform well more quickly.
- Experience using Generative AI tools to help in software programming and testing (e.g. VS‑Code or Git Hub with Copilot AI).
- Proficiency in SQL, including advanced query techniques.
- Experience with version control systems (e.g., Git, Git Hub, Jenkins).
- 6+ years of proficiency in Python and Jupyter notebooks. Experience with other languages such as R, and Scala is a plus but not necessary.
- Experience developing and assessing AI/ML models and ensembles.
- Support the seamless integration of multi‑media data processing into platform data pipelines.
- Experienced in planning, setting‑up, running and reporting on AI/ML experiments.
- Experience building feature repositories for AI‑ML model training.
- Project work in deep learning, transformers, computer vision, NLP, or chatbot development.
- Experience in developing Generative AI applications especially using LLMs in domains such as NLP and image processing.
- Knowledge of modern software design patterns (e.g., microservices, edge computing).
- Experience working with LLM frameworks and foundation models like LLaMa‑3 and experience working with LLM model repositories like Huggingface.
- Familiarity with MLOps practices and tools for model versioning and experiment tracking.
- Experience identifying appropriate AI/ML models for a problem and using appropriate…
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