Job Details
Location: Sacramento, California, United States
Salary: Not specified
Company: ApnaWorker
We are looking for a highly skilled MLOps Engineer with strong experience in operationalizing AI/Generative AI applications and managing AI systems in production environments. If you are passionate about building reliable, scalable, and production-ready AI platforms, we would love to hear from you. Required skills include MLOps and AI Operations, Generative AI and LLM Application Deployment, CI/CD Pipelines for AI Applications, Docker and Containerization, Infrastructure as Code (IaC), Python and Automation Scripting, MLflow, LangSmith, RAGAS, AI Monitoring and Observability, LLM Evaluation Frameworks, RAG Metrics (Faithfulness, Context Precision, Recall, Answer Relevance), Incident Management and Day-2 AI Operations, and Audit Logging and Governance Reporting. Cloud and platform expertise includes Azure AI (Azure ML Pipelines, Azure Monitor), AWS AI (SageMaker, CloudWatch, Lambda), and NVIDIA AI Factory (Triton, NIM, Run:ai). Preferred skills include NVIDIA AI Serving Stack (Triton, NIM, Run:ai), AI Governance and Compliance, NIST AI RMF, Regulated or Air-Gapped Environments, Knowledge Drift and Hallucination Monitoring, Prompt Injection Detection, and Retrieval Quality Monitoring. This position is onsite in Sacramento, CA.