HPE Off Campus Drive 2026 | AI/ML Engineer | Bengaluru — Apply Now

HPE Off Campus Drive 2026 is now open! Hewlett Packard Enterprise (HPE), one of the world’s largest technology companies, is actively hiring an AI/ML Engineer for its Bengaluru office. This is a fantastic opportunity for B.Tech/B.E freshers from the 2024, 2025, and 2026 graduating batches to build a career in artificial intelligence and machine learning at a global enterprise technology leader with operations spanning 170 countries.

HPE Off Campus Drive 2026 – Full Job Details

About Hewlett Packard Enterprise (HPE)

Hewlett Packard Enterprise (HPE) is a global technology leader headquartered in Houston, Texas, providing edge-to-cloud solutions that help organizations accelerate outcomes. With revenues exceeding $28 billion and operations across 170+ countries, HPE focuses on intelligent edge computing, hybrid cloud infrastructure, high-performance computing, and AI-driven enterprise solutions. HPE’s Bengaluru Global Engineering Center is one of the company’s most critical innovation hubs, housing thousands of engineers who develop enterprise networking, cloud, and AI products used by Fortune 500 companies worldwide.

Role Overview – AI/ML Engineer

As an AI/ML Engineer at HPE Bengaluru, you will design, develop, and deploy machine learning models that power next-generation enterprise products across networking, cloud, and data platforms. You will work on everything from data preprocessing pipelines and model training to evaluation and productionization — gaining hands-on experience with industry-grade ML frameworks and large-scale enterprise data, all within a highly collaborative, research-driven environment that invests heavily in AI innovation.

Key Responsibilities

• Machine Learning Model Development: Design, implement, and optimize ML and deep learning models using Python, TensorFlow, PyTorch, or scikit-learn to solve complex enterprise problems across HPE’s product lines.
• Data Pipeline Engineering: Build and maintain robust data ingestion, preprocessing, feature engineering, and transformation pipelines that feed high-quality data to ML training systems.
• Model Training & Evaluation: Run model training experiments, evaluate performance using appropriate metrics, perform hyperparameter tuning, and document results to support iterative model improvement.
• AI/ML Integration: Collaborate with software engineering teams to integrate trained models into production systems, APIs, or embedded applications, ensuring performance, scalability, and reliability.
• Research & Prototyping: Stay current with the latest developments in AI/ML research, prototype new approaches, and evaluate emerging techniques for applicability to HPE’s business challenges.
• Data Analysis & Visualization: Analyze large datasets using SQL and data visualization tools to identify patterns, generate insights, and communicate findings to technical and non-technical stakeholders.
• Documentation & Knowledge Sharing: Maintain clear technical documentation of model designs, experiments, and results, and actively contribute to team knowledge-sharing sessions and code reviews.

Eligibility Criteria

• Educational Qualification: B.Tech/B.E or M.Tech in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Information Technology, or a closely related engineering discipline.
• Batch Year: 2024, 2025, or 2026 graduating batch (Master’s degree preferred but B.Tech freshers also eligible).
• Academic Performance: Minimum 60% aggregate or 6.0 CGPA throughout academics.
• Technical Skills: Strong foundation in Python (or R/Java), machine learning algorithms, statistical concepts, and data structures. Working knowledge of at least one ML framework (TensorFlow, PyTorch, or scikit-learn) and SQL is required.
• Communication Skills: Good verbal and written communication skills to collaborate effectively with global engineering teams and present findings to stakeholders.

Selection Process

The HPE Off Campus Drive 2026 follows a structured selection process:

• Round 1 – Online Assessment: Aptitude and technical test covering data structures, algorithms, Python programming, and basic ML concepts.
• Round 2 – Technical Interview: In-depth discussion on ML algorithms, model evaluation, Python coding, and problem-solving scenarios relevant to enterprise AI applications.
• Round 3 – HR Interview: Assessment of communication skills, career goals, teamwork, and cultural alignment with HPE’s values of innovation, integrity, and human progress.

Salary & Benefits

HPE has not disclosed the exact compensation for this role. As a Fortune 500 global technology company, HPE is known for offering highly competitive salary packages with comprehensive benefits including health and life insurance, performance bonuses, employee stock purchase programs, flexible work policies, access to HPE’s global learning platforms, and structured mentorship programs for early-career engineers.

How to Apply for HPE Off Campus Drive 2026

1. Click the “Apply Now” button below.
2. You will be redirected to the official HPE careers page.
3. Create an HPE careers account or log in to your existing profile.
4. Fill in the application form with your academic and personal details.
5. Upload your updated resume in PDF format highlighting ML projects and skills.
6. Submit your application and note down the reference number for future follow-up.

Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official HPE careers page before applying.

Frequently Asked Questions – HPE Off Campus Drive 2026

Q1. Who is eligible to apply for HPE Off Campus Drive 2026?

Candidates with a B.Tech/B.E or M.Tech degree in Computer Science, Data Science, AI/ML, Information Technology, or a related engineering field are eligible. Students from the 2024, 2025, and 2026 graduating batches can apply. A minimum of 60% aggregate or 6.0 CGPA is preferred. Strong programming skills in Python and familiarity with ML frameworks like TensorFlow or PyTorch will be an advantage.

Q2. What is the salary offered in HPE Off Campus Drive 2026?

HPE has not publicly disclosed the exact salary package for the AI/ML Engineer role. As a Fortune 500 global technology company, HPE offers competitive compensation well above market rates, complemented by performance bonuses, stock purchase options, and comprehensive benefits.

Q3. What is the job location for this role?

The AI/ML Engineer role is based in Bengaluru, Karnataka, India. This is an on-site position at HPE’s Bengaluru Global Engineering Center, one of the company’s largest international development hubs.

Q4. What is the selection process for HPE Off Campus Drive 2026?

The selection process typically includes an online aptitude and technical assessment, followed by a technical interview covering machine learning algorithms, Python programming, and data science concepts, and a final HR interview to assess communication skills and cultural fit with HPE’s values.

Q5. What is the last date to apply for HPE Off Campus Drive 2026?

The exact last date has not been announced. We recommend applying as soon as possible since this is a high-demand role at a top-tier company and positions fill up quickly. Click the Apply Now button above to check the current status on the official HPE careers page.

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