Title: AI / ML Engineer — Remote (US)

Location: Remote — United States
Employment type: Contract (6–12+ months)
Indicative rate: $85–$115/hr

Role Summary
We are seeking an AI / machine learning engineer to develop and deploy ML and GenAI capabilities into production applications. Work spans experimentation, model integration, evaluation, and MLOps on a remote US team.

Responsibilities

• Build and improve ML models and LLM-powered features (RAG, agents, or classification/NLP as needed)
• Prepare training and evaluation datasets; implement reproducible experiments
• Integrate models into applications via APIs, batch jobs, or real-time services
• Implement monitoring for drift, latency, cost, and quality; iterate from feedback
• Collaborate with product, data engineering, and security on responsible AI practices
• Document architectures, prompts, evaluation metrics, and runbooks
• Support CI/CD and containerized deployment of ML services

Required Qualifications

• 4+ years in machine learning engineering or applied ML roles
• Strong Python and ML libraries (scikit-learn, PyTorch or TensorFlow)
• Experience deploying models to cloud (AWS, Azure, or GCP)
• Familiarity with LLMs, embeddings, and vector search for GenAI use cases
• Solid software engineering practices: Git, testing, code review
• Remote in the United States

Preferred Qualifications

• LangChain, LlamaIndex, or similar orchestration frameworks
• MLOps: MLflow, SageMaker, Azure ML, Vertex AI, or Kubeflow
• RAG design: chunking, retrieval, evaluation (RAGAS or custom benchmarks)
• Experience with guardrails, PII redaction, and enterprise security reviews