MLOps Engineer

GlobalLogic are hiring for an MLOps engineer to work on cutting edge projects within our GenAI team.

To be successful in the position we require experience in some/all of these areas:

• .Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML lifecycle management.
• You’ll have strong experience deploying and productionising ML models
• Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies.
• Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight
• Skills with MLOps concepts and principles
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes).
• Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI)