Senior Applied AI/ML Engineer (TS/SCI)
Core
Senior Applied AI/ML Engineer building end-to-end data and machine learning capabilities for Special Operations users.
Role type
Senior Applied AI/ML Engineer
Builds
Scalable data pipelines, production ML models, and analyst-facing applications/tools.
Domain
Defense / Special Operations / Spatial Intelligence
Deliverable
production ML models
Required skills
Python, PySpark, SQL, data pipeline design, ML model deployment, data modeling, ETL/ELT, geospatial analysis, computer vision, NLP, LLMs, cloud/DevOps (AWS/Azure/Kubernetes), API development
Preferred skills
Distributed data engineering (Spark/HDFS/Delta Lake), GPU/CPU cluster operations, FastAPI/Django/React/TypeScript, OpenStack/Nomad/Ansible
Technologies
Python, PySpark, SQL, Apache Spark, HDFS, Delta Lake, Elasticsearch, AWS, Azure, OpenStack, Docker, Nomad, Kubernetes, GitLab, FastAPI, Django, React, TypeScript, Java
Responsibilities
Ingest and transform large datasets, develop and optimize production data pipelines, design and deploy ML models and services, build analyst-facing applications, expose capabilities via APIs, collaborate with customers and technical leadership
Seniority
Senior, hands-on IC