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Senior Machine Learning Engineer(mlops, Aws & Databricks)-(9-11 Years) @ Infosys

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 Senior Machine Learning Engineer(mlops, Aws & Databricks)-(9-11 Years)

Job Description

Roles and Responsibilities

  • Design, develop, and deploy machine learning models using MLOps tools such as Azure DevOps, AWS SageMaker, and Databricks.
  • Collaborate with cross-functional teams to integrate ML models into larger software systems.
  • Develop data pipelines using PySpark, SQL, and IAC tools to extract insights from large datasets.
  • Implement continuous integration and deployment (CI/CD) pipelines using Jenkins and Terraform for seamless model updates.
  • Troubleshoot issues related to ML model performance and scalability.

Desired Candidate Profile

  • 9-11 years of experience in Machine Learning Engineering or a related field.
  • Strong proficiency in programming languages like Python and familiarity with popular libraries like NumPy, Pandas, Matplotlib.
  • Experience working on cloud platforms like AWS or GCP; knowledge of Azure DevOps is an added advantage.
  • Bachelor's degree in Technology/Engineering (B.Tech/B.E.) or equivalent qualification.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Infosys
Location(s): Hyderabad

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Keyskills:   PySpark GitHub Iac Tools MLOps DevOps/CICD Machine Learning SQL Jenkins Terraform Ansible Databricks AWS Python ML

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