AI/ML 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 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 modern 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

- Design moderate to complex AI/ML based cloud application features as per specifications.
- Develop, train, evaluate, and deploy ML/DL models.
- Build GenAI applications using LLMs, RAG, and Agent workflows.
- Develop data pipelines and AI services/APIs.
- Implement MLOps and LLMOps practices for deployment and monitoring.
- Evaluate model and application performance using AI observability tools.
- Collaborate with business and engineering teams to deliver AI solutions.
- Develops and maintains GenAI / cloud application modules adhering to security policies.
- Designs test plans, develops, executes, and automates test cases for assigned portions of the developed code.
- Deploys code and troubleshoots issues in application modules and the deployment workplace.
- Shares and reviews innovative technical ideas with peers, high-level technical contributors,



technical writers, and managers.

What you need to bring:

Knowledge and Skills

- Python, SQL, Data Analysis
- Machine Learning and Deep Learning (Scikit-learn, PyTorch/TensorFlow)
- LLMs, Prompt Engineering, RAG
- LangChain, LangGraph, LlamaIndex (or similar frameworks)
- Vector Databases and Semantic Search (Weaviate, Pinecone, Qdrant, pgvector, etc.)
- AI Evaluation & Monitoring (MLflow, Langfuse, OpenTelemetry (basic understanding), Arize Phoenix)
- Docker, Kubernetes, CI/CD. Understanding DevOps practices like continuous integration/deployment and orchestration with Kubernetes.
- AWS, Azure, or GCP
- Experience with design methodologies, cloud-native applications, developer tools, managed services, and next-generation databases.
- Good written and verbal communication skills.

Education and Experience Required:

- Bachelors degree in computer science, engineering, information systems, or closely related quantitative discipline. Master s desirable.
- Typically, 6+ year of overall experience and 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_03

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 setting 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 Cloud Developer (Karnataka)
🏢 Hewlett Packard Enterprise
📍 Karnataka