1 day ago
Bengaluru, IndiaSenior
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 for serving AI models in production.
- Establish monitoring, observability, and governance mechanisms for responsible AI deployment.
- Drive experimentation, innovation, and organizational adoption of emerging AI technologies.
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.
- Knowledge of GPT, Claude, Llama, prompt engineering, fine-tuning, RAG, agentic AI, and vector databases.
- Experience with public cloud platforms such as AWS or Azure, Kubernetes, Docker, MLflow, and CI/CD.
- Preferred qualifications include storage-domain knowledge, MLOps or LLMOps platform experience, GPU orchestration, model optimization, inference scaling, and experience building platforms supporting multiple AI products and teams.
Benefits
- Hybrid work arrangement requiring an average of two days per week from an HPE office.
- Health and wellbeing benefits supporting physical, financial, and emotional wellbeing.
- Personal and professional development programs supporting career growth.
- Inclusive and accessible workplace with accommodation support 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.