As an 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, inference, 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 offerings.
Qualifications : Technical :
Strong understanding of DevOps practices and skilled in developing end-to-end CI / CD pipelinesExecution 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 toolsProficient in at least one programming language used in data engineering, such as PythonStrong knowledge of SnowflakeExperience working on at least one cloud platformNon-Technical :
Good business understandingLogical thinking and problem-solving skillsAbility to collaborate effectivelyCapable of analysing problems and developing actionable, tactical plans quicklyGood managerial skills and team leadership capabilitiesStrong verbal and written communication skillsGood stakeholder management skillsExercises independent judgment within defined practices and proceduresDemonstrated ability to mentor juniors