Lead - ML Ops

In this role, you will be working with one of the top engineering companies in the world and will operationalizing very complex ML Models and Algorithms involving petabytes of data.

Job Location : Hyderabad ( Hybrid)

Responsibilities

• Data Pipeline Management

Maintain and optimize training data pipelines leveraging the latest big data tools with an

emphasis on cost-effectiveness and reliability

• Model Lifecycle Management

Onboard new ML models onto the existing platform with standardized training automation

and interfaces. 

• MLOps

Maintain and enhance CI/CD pipelines for ML data & model pipelines 

Operate sign-off and deployment processes, ensuring high quality model sign-off

• Quality Dashboards

Design and develop quality dashboards to monitor the quality and reliability of both

models as well as data artifacts produced

Qualifications

• Bachelor’s degree in computer science, engineering, or a related field.
• Minimum 

  7+

   years of experience in software engineering with a focus on full-stack development and infrastructure.
• Prior hands-on experience in ML model productionalization and operationalization
• Familiarity with ML frameworks such as scikit-learn, PyTorch, Tensorflow
• Familiarity with data processing frameworks such as Spark
• Familiarity with modern CI/CD and MLOps best practices.
• Strong problem-solving and analytical skills.
• Proven track record of working independently and as part of a distributed global team.