AWS Machine Learning Lead, Wipro

Machine Learning Engineer, Python
Tamil Nadu, India, Chennai
February 12, 2026
Full Time

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Job Description

Wipro is hiring an experienced AWS Machine Learning Lead to design, develop, and deliver end-to-end Machine Learning solutions on AWS. This role focuses on building scalable ML pipelines, deploying models using AWS-native services, and supporting Wipro’s large-scale digital transformation initiatives for global clients.

Date Posted: January 29, 2026

Expiration Date: NA

Qualification: Engineering Degree or equivalent

Experience: 5–8 Years

Job ID: NA

Role: AWS Machine Learning Lead

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Primary Responsibilities

  • Develops and executes Machine Learning solutions that exist on AWS platforms. 
  • Creates and oversees complete machine learning processes that use AWS SageMaker and its associated products. 
  • Working with various teams to convert business requirements into machine learning solutions. 
  • Establishes AI capabilities by developing architectural systems which can operate at large scale and function in actual business environments.

Technical & Delivery Responsibilities

  • Creates machine learning models through Python programming which they implement on the AWS SageMaker platform. 
  • Use various AWS services including EMR S3 Athena Airflow CodeBuild and CodePipeline. 
  • Establish continuous integration and continuous delivery systems for their machine learning processes. 
  • Use Prompt Engineering methods to implement modern artificial intelligence and machine learning applications. 
  • Operates SQL, Snowflake and StreamSets data streaming technologies.

Team & Capability Management

  • Teaches team members about AWS machine learning practices.
  • Establishes capabilities that enable Machine Learning and cloud-based AI solutions.
  • Establishes ongoing educational programs which enable people to learn and use current machine learning methods and MLOps procedures.

Qualifications Required

  • Have extensive practical expertise with AWS Machine Learning and its corresponding tool SageMaker. 
  • Shows expertise in Python and SQL languages together with the ability to create machine learning models. 
  • Possesses knowledge about building CI/CD pipelines and MLOps operational processes. 
  • Shows the ability to operate together with different teams who work in large corporate settings.

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