Senior Machine Learning Operations Specialist

1 day ago

Shimoga, Karnataka, India beBeeMachineLearning Full time US$ 1,20,000 - US$ 1,70,000
Job Title

Senior Machine Learning Operations Specialist

The role involves owning the productionization of machine learning models, ensuring resilient services with clear service level objectives (SLOs), runbooks, and fast, safe rollbacks. Key responsibilities include designing automation-first delivery pipelines: reproducible builds, layered tests, and environment promotion via continuous integration/continuous deployment (CI/CD) tools like GitLab CI and infrastructure as code (IaC) using Terraform.

Develop scalable serving architectures for batch and real-time inference on container orchestration platforms like Amazon Elastic Container Service (ECS) and Lambda, and model serving platforms like Databricks Model Serving. Instrument end-to-end observability (data, model, system); detect drift and regressions; lead incidents and post-mortems that drive durable fixes.

Required Skills and Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field and 3+ years of relevant experience; or High School Diploma/General Education Degree and 6+ years of relevant experience in lieu of Bachelor's Degree.
  • 3+ years operating machine learning systems in production (MLOps).
  • Experience with Python for ML engineering, including packaging, typing, testing, and performance.
  • Experience developing CI/CD pipelines for machine learning workloads using GitLab CI and IaC using Terraform.
  • Experience deploying and operating compute resources for machine learning workloads on cloud providers like Amazon Web Services (AWS).
  • Experience implementing model tracking, model registry, and governed promotion using tools like MLflow.
Benefits

As a Senior Machine Learning Operations Specialist, you will have the opportunity to work on challenging projects, collaborate with experienced professionals, and develop your skills in machine learning operations.

Others

You will be responsible for leading incidents and post-mortems that drive durable fixes, and collaborating across teams to translate requirements into designs, architectural decision records (ADRs), and change plans; balance security, privacy, cost, and performance tradeoffs.

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