Principal AI Machine Learning Developer

HAYSTACK MOBILE TECHNOLOGIES, LLC

United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Working hours

Regular working hours

Job source

arc.dev

Tech stack

Clean Code Principles Artificial Intelligence Airflow Amazon Web Services Computer Vision Unit Testing Microsoft Azure Python (Programming Language) Machine Learning Natural Language Processing Tensorflow Software Engineering

+9 more

Unstructured Data Cloud Platform System Pytorch Large Language Models Git Kubernetes Information Technology Machine Learning Operations Software Version Control

Job description

Lead the creation, prototyping, and operationalization of cutting-edge AI/ML Proof of Concepts (PoCs) tailored 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.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a 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 a plus.
Familiarity with MLOps and orchestration platforms (e.g., MLflow, Kubeflow, Apache Airflow, Triton Inference Server) is a plus.

Benefits & conditions

Opportunity to work on dynamic, high-impact projects supporting the Intelligence Community.
A collaborative environment focused on rapid prototyping and operationalization of advanced AI/ML solutions.
Role as a shared technical subject matter expert balancing intermixed timelines and program priorities.
Supportive culture dedicated to delivering innovative solutions for complex challenges.