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Mid-level, generalist MLOps role in Bangalore with strong brand and broad requirements.
Strong ML/GenAI, Snowflake, and AWS requirements make the role industry-specialized and less transferable.
Explicit 5+ years plus mandatory AWS, Snowflake, LLM, and MLOps tech stack increases filter strictness.
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Lead design and delivery of end-to-end enterprise AI, Generative AI, and Machine Learning solutions on AWS and Snowflake platforms.
Own architecture and deployment of scalable, secure AI/ML systems including data ingestion, model integration, microservices, agentic AI workflows, and AI-powered applications.
Drive MLOps practices, performance monitoring, security governance, and lead technical teams collaborating with senior stakeholders on AI solution roadmap.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
5+ years of relevant experience in AI/ML solution architecture and delivery.
Strong hands-on expertise in AWS services (e.g., SageMaker, Bedrock, Lambda, ECS/Fargate), Snowflake data integration, and containerization (Docker, Kubernetes or ECS/Fargate).
Proficiency in Python and SQL programming; experience with microservices architecture and AI/GenAI application development frameworks like Streamlit or ReactJS.
Experienced leader capable of driving complex AI/ML initiatives and mentoring cross-functional teams in an enterprise environment.
Deep expertise in architecting scalable, secure AI and GenAI systems leveraging AWS and Snowflake, with a focus on production-grade deployments and MLOps.
Strategic thinker comfortable balancing technical implementation with stakeholder management and governance in fast-evolving AI technology landscape.