MLOps Engineer 1

Kissht

BKC Mumbai1 years expNot SpecifiedIn OfficeNot disclosed

Posted 4 months ago

MLOpsPythonMachine LearningDevOpsCloud ComputingKubernetesContainerizationCI/CDMonitoringLoggingCollaborationCommunicationProblem SolvingData EngineeringModel DeploymentVersion Control

Role: MLOPS Engineer 1


Focus: Engineering automated ML lifecycles, developing scalable deployment pipelines, and streamlining the path from model development to production.


Skillset

  1. Programming & Scripting: Strong foundational knowledge of Python programming & data structures. Ability to write and debug Bash/Shell scripts for automation.
  2. CI/CD & Version Control: Competent with Git (branching, merging, PRs). Understanding the concept of CI/CD pipelines (e.g. GitHub Actions).
  3. Application Dev: Experience with a basic web framework (FastAPI or Flask) for creating simple model APIs.
  4. Data Fundamentals: Knowledge in SQL (Snowflake preferred) for data extraction and basic pipeline troubleshooting.
  5. Cloud Infrastructure: Basic experience with AWS services, specifically EC2 and S3. Interest in learning Amazon SageMaker for model hosting.
  6. Documentation: Diligent in documenting deployment steps, environment configurations, and troubleshooting guides.


Added Value:

Containers & Orchestration: Familiarity with Docker (building and running images) and the basics of how Kubernetes (K8s) functions in a cloud environment.


Role Expectations

Primary Role: Dev Support & Maintenance

ML Areas: Sound Knowledge

Deep Learning: Sound Knowledge

Coding: Data Structures & Algo

Testing: Debugging & Testing