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Tier-1 brand, mid-level ML role in Bengaluru with broad GenAI skill requirements.
Core ML/LLM and MLOps skills transfer across industries, though cloud and enterprise networking context adds some domain specificity.
Explicit 6+ years plus required ML, GenAI, MLOps, cloud and tooling imply high shortlisting strictness.
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Own end-to-end AI/ML solutions lifecycle for cloud applications including design, development, deployment, monitoring, and continuous improvement.
Develop and deploy AI/ML and Generative AI models using modern MLOps and LLMOps practices ensuring secure and scalable production-grade solutions.
Provide technical leadership by contributing to architectural decisions, mentoring team members, and collaborating across business and engineering teams to deliver AI-driven digital experience solutions.
Bachelor's degree in computer science, engineering, information systems, or a related quantitative discipline; Master's degree desirable.
Minimum 6+ years of overall experience with hands-on expertise in AI/ML, deep learning frameworks (Scikit-learn, PyTorch, TensorFlow), LLMs, and cloud technologies.
Experience with AI/ML lifecycle toolsets including MLOps practices, model deployment and monitoring, and cloud platforms such as AWS, Azure, or GCP.
Hybrid work model with requirement to work approximately 2 days per week from an HPE office.
Proven ability to independently architect, prototype, implement, and operate complex AI/ML and GenAI cloud applications at scale.
Experience working with advanced AI technologies including LLMs, vector databases, semantic search, and AI observability tools for performance evaluation.
Demonstrated technical leadership skills advising teams on AI/ML best practices and delivering secure, automated, cloud-native solutions using DevOps and container orchestration frameworks.