TSSCI w/ Poly Machine Learning Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+14 more
Job description
Develop and maintain machine learning pipelines and applications using Python and modern ML
Requirements
-
Active TS/SCI clearance with Poly
-
Bachelor’s degree in computer science, Software Engineering, Data Science, or related
technical field with 5 years of professional experience in software development or machine
learning engineering
- Strong proficiency in Python programming with solid understanding of object-oriented
programming (OOP) concepts, design patterns, data structures, and algorithms
- Experience with development tools and practices including Git version control, Docker
containerization, and database management (SQL and/or NoSQL)
- Knowledge of LLM technologies including exposure to Large Language Models, orchestration
frameworks (LangChain, LangGraph),
- Understanding of RAG architectures and vector databases (ChromaDB, Pinecone, Weaviate, or
similar) for building intelligent retrieval systems
- Strong problem-solving abilities, attention to detail, excellent communication skills, and
eagerness to learn in a collaborative team environment * Master’s degree in computer science or related field
- Experience with cloud platforms (AWS, Azure, or Google Cloud) and knowledge of MLOps
practices for ML model deployment and monitoring
- Experience with container orchestration and DevOps including Kubernetes, Rancher, CI/CD
pipelines, and infrastructure automation tools like Ansible
- Contributions to open-source ML projects and familiarity with Agile development methodologies
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on juju.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Highest Paying Tech Companies for Developers
MLOps And AI Driven Development
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
Dev Digest 159: AI Pipelines, 10x Faster TypeScript, How to Interview