AI and Machine Learning Engineer
Hewlett Packard Enterprise · Bengaluru, Karnātaka, India ·
- Category
- ML ai
- Experience
- 6+ years
- Visa sponsorship
- No
- Company size
- 1000+
Hewlett Packard Enterprise · Bengaluru, Karnātaka, India ·
hpe · Spring, Texas, United States of America
hpe · San Jose, California, United States of America
hpe · Bengaluru, Karnātaka, India
hpe · Sunnyvale, California, United States of America
Designs, builds, and deploys AI/ML and GenAI solutions for cloud applications, owning the full lifecycle from model development to MLOps and monitoring.
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
At HPE Networking, the Digital Experience & Automation (DEA) team is reimagining how people experience support and services in a digital‑first world—setting new standards for the future of networking. We enable customers, partners, and employees through AI‑driven tools and modern platforms, transforming support into a unified, efficient, and simple experience that drives measurable value. Our mission is grounded in innovation with purpose: applying automation, AI, and data‑driven insights to simplify journeys, reduce friction, and create meaningful outcomes at every touchpoint.
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.
What you'll do:
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 environment.
Shares and reviews innovative technical ideas with peers, high-level technical contributors, technical writers, and managers.
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.
What you need to bring:
Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline. Master’s desirable.
Typically, 6+ years of overall experience and hands-on experience in mentioned technologies
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
EngineeringJob 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 environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
hpe · Bengaluru, Karnātaka, India