Senior Software Engineer ML - Contractor position

Janea Systems is a dynamic team of software engineering specialists providing high-impact software development services to Fortune 500 companies. They are seeking a Senior ML Engineer (Contractor) to join their consulting team to take ML projects from concept to production and design robust data pipelines.

Responsibilities:

• Taking an ML or LLM proof-of-concept to production, with the reliability and cost characteristics a large enterprise needs
• Designing and hardening data and training pipelines for enterprise ML systems
• ML platform and MLOps work: deployment, versioning, monitoring, evaluation, CI/CD for models
• Building LLM and RAG systems, including retrieval quality, evaluation and cost control
• Filling a specific, deep gap in a client engineering team for a defined period
• Short technical audits and advisory work on an existing ML stack

Requirements:

• 6+ years of software engineering experience, including 3+ years shipping ML systems into production
• Strong Python, at production code quality. You are comfortable being the person responsible for what runs
• Real depth in at least one of: LLM and agent systems; ML platform and MLOps; ML data and pipeline engineering — plus working competence in the other two
• PyTorch or TensorFlow, and the production stack around them
• Containers and Kubernetes in at least one major cloud (AWS, Azure or GCP)
• Workflow orchestration: Airflow, Kubeflow, Argo, Dagster or Prefect
• Testing, benchmarking, CI/CD and monitoring practices applied to ML systems, not just to application code
• Ability to turn an ambiguous business problem into a technical plan without close supervision
• Client-facing English. You can explain a technical trade-off to a stakeholder who is not an ML specialist
• Your own equipment and a legal entity to invoice from
• Agent frameworks: LangChain, LangGraph, LlamaIndex
• RAG systems in production, with real evaluation and cost discipline
• NLP background
• Observability for ML: Datadog, Langfuse, Weights & Biases
• Cloud certification (Any)
• For lead-level engagements: you have led a small team or owned an ML workstream end to end, including the client relationship
• Open-source contributions, publications, or technical writing we can read