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Manager SE(AIQ)

Zyoin
BengaluruOn-siteLead / Manager12–15 yrs
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The job in short

Engineering manager for software and ML/AI data platform team.

PythonJavaJavaScriptTypeScriptScalaNode.jsMySQLDatabricksAWSData science

Details

Found
34 d ago · posted 2026-10-04
Location
Bengaluru, KA

Full description

Experience:12- 15 Years Work Type: Onsite Employment Type: Full Time Responsibilities: • Design and develop software solutions at scale utilizing cloud infrastructure and data services • that bridge engineering best practices with data science ML/AI services • Provide thought leadership in innovating and designing future solutions • Contribute to the product development and platform engineering roadmaps • Contribute to team awareness and adoption of relevant emerging technologies • Manage and communicate design elements, project risks and development • challenges to Leadership • Write & review high quality code with attention to detail in design, documentation • and test coverage • Design for then enforce data security and data privacy mandates in a global • environment • Manage a group of developers and help hire new talent Qualifications • B.S. in Mathematics, Computer Science/Engineering • 10+ years of software development, data engineering and/or cloud-based services • experience • Strong object-oriented software development background • Applied software development experience in languages such as Python, Java, Scala, • JavaScript (Node.js / TypeScript), Shell Scripting • Applied experience working with a range of data stores and data integration • technologies (e.g. MySQL, DynamoDB, Athena, Glue) • Applied experience building APIs or services (e.g. RESTful services) • Applied experience using unit and integration test frameworks • Expertise with GIT or other source code repositories • Demonstrated ability to communicate solutions in terms of technical and functional • design documents • Experience building cloud-based software and data solutions utilizing AWS cloud • services • Proficiency in building ML/AI data pipelines and automation (e.g. Databricks, • Sagemaker)

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