MathCo - MLOps Engineer

As a Senior MLOps Engineer, you will be responsible for a wide range of engagements, listed below: Can guide the team to build a scalable MLOps platform and work with business architects to implement and expand the MLOps setup. Has worked on deploying ML models to production and has experience with model monitoring, inferencing, drift concepts, feature stores, etc. Has a good understanding of how ML algorithms work and how to debug issues in the code. Has deployed applications using containers and container orchestration. Manages conversations with client stakeholders to understand requirements and translate them into technical outcomes. Responsible for bridging the gap between machine learning and software engineering, focusing on deployment, scaling, and management of ML models in production environments. A developer focused on streamlining the process of developing, deploying, and maintaining ML systems to ensure they are efficient, scalable, and reliable. Has a strong conceptual understanding of the ML lifecycle and various ML algorithms. Has worked on at least one cloud platform and its ML-as-a-Service Skills and Experience : Strong understanding of DevOps practices and skilled in developing end-to-end CI/CD pipelines. Execution knowledge of data modeling, databases (SQL and NoSQL), software development lifecycle practices, unit testing, functional programming, etc. Experience with one or more ML-as-a-Service platforms, such as Azure DevOps, Dataiku, or equivalent open-source tools. Proficient in at least one programming language used in data engineering, such as Python. Strong knowledge of Snowflake. Experience working on at least one cloud : Good business understanding. Logical thinking and problem-solving skills. Ability to collaborate effectively. Capable of analysing problems and developing actionable, tactical plans quickly. Good managerial skills and team leadership capabilities. Strong verbal and written communication skills. Good stakeholder management skills. Exercises independent judgment within defined practices and procedures. Demonstrated ability to mentor juniors. (ref:hirist.tech) Show more Show less