1 day ago
Bengaluru, IndiaSenior / Staff+
Responsibilities
- Design and build production-grade AI and generative AI solutions using large language models.
- Develop AI agents, copilots, and workflow automation systems.
- Implement Retrieval-Augmented Generation architectures using vector databases and enterprise knowledge sources.
- Fine-tune, evaluate, and optimize machine learning and foundation models for accuracy, performance, safety, and cost.
- Build scalable APIs, services, and platforms to serve AI models in production.
- Establish monitoring, observability, and governance mechanisms for responsible AI deployment.
- Drive experimentation, innovation, and adoption of emerging AI technologies across the organization.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a closely related quantitative discipline.
- Typically 6–9 years of experience.
- Programming experience with Python, SQL, Java, or Go.
- Experience with PyTorch, scikit-learn, and LangChain.
- Experience with GPT, Claude, Llama, prompt engineering, fine-tuning, RAG, agentic AI, and vector databases.
- Experience with public cloud platforms, Kubernetes, Docker, MLflow, and CI/CD.
- Storage-domain skills covering block, object, or file storage are preferred.
- MLOps or LLMOps platform experience, GPU orchestration, model optimization, inference scaling, and experience building platforms for multiple AI products and teams are preferred.
Benefits
- Hybrid work arrangement requiring an average of two days per week from an HPE office.
- Comprehensive health, financial, and emotional wellbeing benefits for team members and their loved ones.
- Personal and professional development programs supporting career growth and knowledge expertise.
- Inclusive workplace with accessibility accommodations available for qualified applicants.
Categories
About HPE
Hewlett Packard Enterprise (HPE) builds enterprise IT infrastructure and services, including servers, storage, networking (Aruba), and hybrid edge-to-cloud platforms like HPE GreenLake for businesses and public-sector organizations. Formed in 2015 after Hewlett-Packard’s split, HPE is headquartered in Houston, Texas and trades on the NYSE. It sells hardware, software, and subscription-based managed cloud services to help customers run workloads across data centers, colocation, and public clouds.