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Tier-1 brand plus Bangalore location but specialized GenAI skillset limits broader applicant pool.
Role requires specialized GenAI, MLOps, and vector DB experience, limiting cross-industry transferability.
Explicit 6+ years plus required LLM, MLOps, cloud, and Kubernetes expertise increases screening strictness.
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Own end-to-end AI/ML system development lifecycle including data analysis, feature engineering, model development, deployment, monitoring, and continuous improvement for cloud applications.
Design and build advanced AI/ML and GenAI solutions (LLMs, RAG, Agent workflows) using modern MLOps and LLMOps practices to ensure secure, reliable, and scalable deployments.
Collaborate with cross-functional teams to deliver AI-based cloud application features, develop data pipelines, deploy models, and implement AI observability and evaluation tools.
Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline; Master's degree desirable.
Minimum 6+ years of relevant work experience in AI/ML engineering and associated technologies.
Proficiency in Python, SQL, machine learning frameworks (Scikit-learn, PyTorch/TensorFlow), LLMs, prompt engineering, and MLOps practices including Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
Hybrid work model requiring approximately 2 days per week onsite at HPE office.
Experienced AI/ML engineer with demonstrated ability to independently lead complex AI/ML cloud projects including architectural decisions and technical mentorship.
Strong technical expertise in GenAI application development with hands-on experience in LLMs, LangChain or similar frameworks, and AI observability platforms.
Comfortable working in a hybrid environment collaborating closely with business and engineering teams to build and deploy production-grade AI solutions.