Senior Software Engineer (MLOps)

We are seeking a Senior Software Engineer (MLOps) to bring machine learning into production at scale. You will build ML and LLM pipelines, standardize model lifecycle management and help teams ship reliable AI features using Python, container platforms and cloud services.

• Build and maintain end-to-end ML and LLM pipelines from ingestion to training, serving and CI/CD
• Own model lifecycle workflows including experimentation, registry, deployments, promotions and monitoring
• Operationalize large language models, embeddings, Retrieval-Augmented Generation (RAG) and agentic workflows
• Refactor research prototypes into production‑grade Python with testing, debugging and performance tuning
• Containerize services using Docker and orchestrate workloads with Kubernetes
• Define observability for AI systems including drift, quality metrics and reliability signals
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