HPE Off Campus Drive 2026 is now open. Hewlett Packard Enterprise (HPE), one of the world’s leading enterprise technology companies, is hiring AI/ML Engineers for its Bengaluru office. This is an excellent opportunity for B.Tech/B.E freshers from the 2024, 2025, and 2026 batches to start their career in artificial intelligence and machine learning at a globally recognized organization.
Company Details
- Company Name: Hewlett Packard Enterprise (HPE)
- Role: AI/ML Engineer
- Location: Bengaluru (On-site)
- Qualification: B.Tech/B.E/M.Tech (CS, AI/ML, Data Science, IT, or related fields)
- Batch: 2024 / 2025 / 2026
- Experience: Freshers / 0–2 Years
- Salary: Not Disclosed
- Application Mode: Online
- Last Date: Apply as soon as possible
About Hewlett Packard Enterprise (HPE)
Hewlett Packard Enterprise is a global technology leader headquartered in Houston, Texas. The company specializes in edge-to-cloud solutions that help organizations accelerate business outcomes. With operations in over 170 countries and annual revenues exceeding $28 billion, HPE focuses on hybrid cloud, intelligent edge, high-performance computing, and AI-driven enterprise technologies.
HPE’s Bengaluru Global Engineering Center is a major innovation hub where engineers work on next-generation cloud, networking, and AI solutions used by Fortune 500 companies worldwide.
Role Overview – AI/ML Engineer
As an AI/ML Engineer at HPE, you will work on building and deploying machine learning models for enterprise-scale applications. The role involves working with large datasets, designing ML pipelines, and collaborating with engineering teams to integrate intelligent systems into real-world products.
You will gain hands-on experience with modern ML frameworks, production systems, and large-scale data environments.
Key Responsibilities
Machine Learning Development
Design, build, and optimize machine learning and deep learning models using Python and frameworks such as TensorFlow, PyTorch, or scikit-learn.
Data Pipeline Engineering
Develop data ingestion, preprocessing, and feature engineering pipelines to ensure high-quality data for training systems.
Model Training and Evaluation
Conduct experiments, tune hyperparameters, evaluate models using appropriate metrics, and document findings for continuous improvement.
AI Integration
Work with software engineering teams to deploy ML models into production systems, APIs, or enterprise applications.
Research and Innovation
Stay updated with the latest advancements in AI/ML and evaluate new techniques for business applications.
Data Analysis and Visualization
Analyze large datasets using SQL and visualization tools to generate actionable insights.
Documentation and Collaboration
Maintain technical documentation and participate in code reviews and knowledge-sharing sessions.
Eligibility Criteria
Educational Qualification
B.Tech/B.E or M.Tech in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or related fields.
Batch Eligibility
2024, 2025, and 2026 graduates are eligible to apply.
Academic Requirements
Minimum 60% aggregate or 6.0 CGPA throughout academics.
Technical Skills
Strong understanding of Python (or R/Java), machine learning algorithms, data structures, and statistics. Familiarity with TensorFlow, PyTorch, or scikit-learn and SQL is required.
Communication Skills
Good verbal and written communication skills for collaboration with global teams.
Selection Process
Round 1 – Online Assessment
Aptitude and technical test covering programming, data structures, algorithms, and basic ML concepts.
Round 2 – Technical Interview
Discussion on machine learning concepts, coding problems, and real-world problem-solving scenarios.
Round 3 – HR Interview
Evaluation of communication skills, cultural fit, and career goals.
Salary and Benefits
HPE has not disclosed the exact salary for this role. However, as a global Fortune 500 company, HPE offers competitive compensation along with benefits such as:
- Health and life insurance
- Performance-based bonuses
- Employee stock purchase programs
- Flexible work policies
- Learning and development programs
- Mentorship for early-career professionals
How to Apply
Follow the steps below to apply for HPE Off Campus Drive 2026:
- Visit the official HPE careers page using the link below
- Create an account or log in
- Fill in your academic and personal details
- Upload your updated resume in PDF format
- Submit the application and save the reference ID
Apply Here: https://careers.hpe.com/us/en/job/1205329/AI-ML-Engineer
