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Tier-1 brand, mid-level experience requirement, and Bengaluru metro location drive high applicant competition.
Requires specialized ML/LLM production and cloud skills that transfer across industries but favor ML-focused backgrounds.
Explicit 5+ years cloud-native and 2+ years production ML requirements plus specific tech and deployment experience increase strictness.
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Design and develop scalable, cloud-native agentic AI applications for product data and lifecycle management workflows.
Fine-tune, deploy, and monitor large language models in production, ensuring reliability and performance at scale.
Collaborate cross-functionally and use AI coding agents to accelerate development while ensuring correctness, security, and maintainability.
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or equivalent practical experience.
Minimum 5 years experience building cloud-native software in production with distributed systems and APIs.
At least 2 years hands-on experience delivering AI/ML-powered production systems including traditional ML or LLM-based applications.
Proficiency in Python, TypeScript, or Java and demonstrated use of AI coding tools with strong engineering practices.
Experienced in deploying and operating resilient, performant AI applications at scale in cloud environments (AWS, Azure, or Google Cloud).
Familiarity with modern AI/ML frameworks (PyTorch, Ray), agentic AI architectures, and MCP or equivalent model-to-tool integration patterns.
Capable of owning end-to-end AI system quality, including testing, monitoring, debugging, and iterative improvement in production.