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