Senior MLOps Engineer
- Create and manage MLOps pipelines to facilitate ML model testing, validation, and monitoring during development and production, as well as continuous integration and deployment (CI/CD).
- Put strategies in place to automate the entire ML model creation process from start to finish.
- Make constant improvements to the MLOps workflows’ efficiency by utilising industry best practices, cutting-edge tools, and benchmarks.
- Work together with interdisciplinary AI/ML teams to determine the needs for their ML workflows and then integrate them into the MLOps system.
- Bachelor’s degree in computer science or comparable practical experience
- 4 years of industry experience in MLOps or data management for ML workflows
- Demonstrated experience with MLOps and cloud machine-learning platforms like SageMaker, DataBricks
- Proficient in Big Data technologies like Kafka, Apache Spark, Hadoop, databases (SQL and NoSQL), cloud computing platforms like AWS, Programming Languages Java, Python