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AI / Machine Learning Engineer
vacancy global proAnywherePosted 2w ago
Product Data Scientist — RAG & Experiment Design (Remote)
Full-time
Remote
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Job description
Title: AI / ML Engineer — Remote (US)
Location: Remote — reputed company
Employment type: Contract (6–12+ months)
Indicative reputed company: $85–$115/hr
reputed company
We are seeking an AI / machine learning engineer to reputed company and reputed company 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
reputed company models into applications reputed company reputed company, batch jobs, or reputed company-time services
Implement monitoring for reputed company, latency, cost, and reputed company; iterate from feedback
Collaborate with product, data engineering, and reputed company 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 reputed company ML roles
Strong Python and ML libraries (scikit-learn, PyTorch or TensorFlow)
Experience deploying models to reputed company (AWS, Azure, or GCP)
Familiarity with LLMs, embeddings, and reputed company reputed company for GenAI use cases
Solid software engineering practices: Git, testing, reputed company review
Remote in the reputed company
Preferred Qualifications
reputed company, reputed company, or similar orchestration frameworks
MLOps: MLflow, SageMaker, Azure ML, reputed company AI, or Kubeflow
RAG design: chunking, retrieval, evaluation (RAGAS or custom benchmarks)
Experience with guardrails, PII redaction, and reputed company reputed company reviews
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