Machine Learning Operations (MLops)
- Be the technical product owner for the data pipeline, evaluation/benchmarking and monitoring tools working closely with Data Scientists to support their needs
- Design and develop Infrastructure for MlOps, including data pipelines, model serving/versioning and monitoring.
- Design and develop Benchmarking and Evaluation Tools
- Support the NLP team in building proof of concepts (POC)
- Build, operationalize and help take POCs to production
- Support ML Ops and Production Support as required
- Strong experience with MLOps - With a focus in building and managing data pipelines.
- Strong software engineering, data management skills.
- Strong proficiency in Python or Scala. Golang is a plus.
- Experience building scalable services.
- Good design and problem solving skills.
- Experience working with cloud infrastructure (GCP, AWS, Azure)
- Experience working with docker/containers, and/or Kubernetes.
- Strong with SQL and/or NoSQL databases.
- Experience designing and creating APIs. Flask or FastAPI knowledge is a plus.