AI Machine Learning Developer

We are working with a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. This organization is redefining ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects, primarily serving the U.S. federal government.
The Role
Lead the creation, prototyping, and operationalization of cutting-edge AI/ML Proof of Concepts (PoCs) for Intelligence Community (IC) mission use cases.
Design, build, and deploy high-fidelity, visual AI/ML prototypes (GenAI/LLMs, NLP, computer vision, predictive analytics).
Transition sandboxed PoCs into secure, multi-tenant cloud environments (AWS C2S, Azure Secret) and air-gapped networks.
Build automated CI/CD pipelines, containerize applications, and ensure compliance with federal software assurance and security standards.
Successfully manage technical execution across multiple active programs with distinct, overlapping deliverable timelines.
Conduct compelling live technical demonstrations for senior IC customers and maintain clean, reusable codebases and architectural documentation.
What You'll Need
Bachelor's degree in Computer Science, Data Science, Engineering, or related technical discipline with 9+ years of relevant experience; OR Master's degree with 7+ years of relevant experience.
Active TS/SCI clearance (or ability to immediately upgrade from TS if SCI was held within the last 3 years).
Proficiency in Python and software engineering practices (version control with Git, unit testing, clean code architectures).
Hands-on experience developing ML models using frameworks like PyTorch or TensorFlow, and handling structured/unstructured data.
Experience deploying AI/ML models in secure, multi-tenant cloud environments (e.g., AWS C2S / SC2S, Azure Government) or air-gapped networks is preferred.
Familiarity with MLOps and orchestration platforms (e.g., MLflow, Kubeflow, Apache Airflow, Triton Inference Server) is preferred.
What's On Offer
Opportunity to work on high-impact projects supporting critical Intelligence Community missions.
Exposure to cutting-edge AI/ML technologies and their application in national security.
Collaborative environment within a Solutions and Technology Group.
Competitive salary range of $160,001 - $200,000.
Apply via Haystack today!

Work arrangement
Yes