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Job Description
Structured overview of role & requirementsAbout This Role
Design, implement, and maintain scalable cloud-based data products and architectures to support Digital Transformation initiatives.
Develop, train, and deploy AI/ML/LLM models to extract insights and optimize processes.
Manage end-to-end data systems for multi-disciplinary teams, including full-stack development of data visualization and user-facing applications integrated with the Skywise platform.
Minimum Requirements
Proficient in Python with strong OOP understanding; knowledge of C++ is advantageous.
Experience with cloud data platforms (GCP/AWS/Azure), big data technologies, data lakes/warehouses, and SQL/NoSQL database development.
Familiarity with software deployment including Docker, CI/CD pipelines, and MLOps principles.
Education: B.Tech./B.E./M.Tech./M.E. in Mechanical, Industrial, Aerospace, or Electrical engineering disciplines. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Capable of managing complex data systems and stakeholder requirements in an Agile environment with cross-functional teams.
Strong expertise in API integration, microservices, and full-stack client-server communication for data product delivery.
Comfortable with multidisciplinary collaboration, innovation initiatives, and adapting to dynamic technical environments.