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Tier-1 brand, mid-level SDE title, AI/ML+DevOps+BigData skills, and likely metro location drive high competition.
Python, ML, Big Data, and DevOps skills are transferable, but ML domain knowledge increases sensitivity.
Mandatory 2+ years, Python, RAG/ML, Big Data, and DevOps skills create high shortlisting strictness.
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Design and develop scalable, high-performance, and secure Python software solutions integrating AI/ML models, specifically Retrieval-Augmented Generation (RAG) techniques.
Collaborate closely with data engineers and DevOps teams to process Big Data using data lakes, warehouses, or lakehouses and ensure seamless deployment and operation via CI/CD pipelines.
Conduct code reviews, troubleshoot complex software issues, and participate actively in agile development cycles including sprint planning and retrospectives.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Minimum 2 years of software development experience with strong Python programming skills.
Proficiency in AI/ML techniques with specific experience in RAG models and Big Data analytics.
Solid understanding of DevOps practices and tools including version control and CI/CD; experience with cloud technologies and security best practices preferred.
Experienced in integrating AI/ML models into production-grade software and working with large-scale data infrastructures like data lakes or warehouses.
Operates effectively in cross-functional settings collaborating with DevOps and data engineering teams, emphasizing scalable and secure software development.
Demonstrates a methodical approach to problem-solving and actively participates in agile workflows to drive continuous delivery and innovation.