AI/ML Senior Cloud Developer

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office.

What you ll do:

Job Family Definition:

The AI/ML Expert Engineer designs and builds scalable, production-grade AI/ML solutions for mission-critical cloud applications. This role requires ownership of the complete machine learning lifecycle, including data analysis, feature engineering, model development, deployment, monitoring, and continuous improvement.

The engineer applies advanced technical expertise to architect, prototype, and implement AI/ML and GenAI-driven cloud solutions using up-to-date MLOps practices for reliable, reproducible, and secure deployments.

Management Level Definition:

Applies advanced subject matter expertise to solve complex technical and business problems. Works independently on end-to-end AI/ML systems and contributes to architectural decisions. Provides technical leadership, mentors team members, and drives best practices across cross-functional teams.

Key Responsibilities

- Responsible for design and development of complex products and platforms, AI/ML based cloud applications. Solution design, analysis, coding, testing, and integration for building efficient, scalable and robust systems.
- Should know the AI/ML technologies and have hands-on experience with GenAI-based software development
- Define enterprise AI/ML architecture and technical strategy.
- Architect scalable GenAI, Agentic AI, RAG, and GraphRAG solutions.
- Establish AI governance, observability, evaluation, and best practices.
- Lead AI platform design, deployment standards, and operational excellence.
- Mentor engineers and drive innovation across AI initiatives.
- Evaluate and adopt emerging AI technologies and frameworks.
- Reviews and evaluates designs, test plans, and develops code for compliance with cloud design and development guidelines and standards.




- Deploys code and troubleshoots issues in application modules and the deployment environment.
- Represents the engineering team in various technical forums and provides guidance and mentoring to less-experienced team members.
- Drives innovation and integration of new technologies into projects and activities in the software systems design organization.

What you need to bring:

Required Skills

- Strong programming skills in Python (Pandas, Scikit, NumPy ), Golang and Scripting.
- Advanced ML, DL, NLP, and LLM expertise
- Agentic AI, Multi-Agent Systems, RAG, GraphRAG
- Vector Databases and Hybrid Retrieval Architectures
- Knowledge Graph Databases (Dgraph, Neo4j, Neptune, etc.)
- AI Evaluation and Observability (Langfuse, Ragas, OpenTelemetry, Arize Phoenix)
- MLOps/LLMOps and AI Platform Engineering
- Kubernetes, Distributed AI Systems, Cloud AI Platforms
- AI Governance, Responsible AI, and Security
- Strong architecture, leadership, and stakeholder management skills
- AWS, Azure, or GCP

Education and Experience Required:

- Bachelors or masters degree in computer science, engineering, information systems, or closely related quantitative discipline.
- Typically, 8-10 years hands-on experience in mentioned technologies,

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

Job:

Engineering

Job Level:

TCP_04

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer.



We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity .

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI/ML Senior Cloud Developer (Bengaluru)
🏢 Hewlett Packard Enterprise
📍 Bengaluru