Senior AI & MLOps Engineer Production-Ready AI Solutions
I build and deploy end-to-end AI systems that move models from prototype to reliable production.
- Experience: 5+ years delivering ML, NLP, and LLM-based solutions.
- What I do: Design, implement, and productionize ML pipelines, from data ingestion and model training to inference, monitoring, and CI/CD.
- Tech stack: Python, FastAPI, Docker, container orchestration, model-serving frameworks, MLOps tooling (training pipelines, automated testing, logging, and monitoring).
- Deliverables: Clean, documented code; reproducible training pipelines; scalable API endpoints; Dockerized deployments; automated CI/CD; observability and rollback strategies.
- Why hire me: I focus on reliability, performance, and measurable business impactturning research or prototypes into maintainable, scalable products.
Ready to build a complete AI solution that runs in production. Message me with your goals and constraints and I'll outline a pragmatic plan.