If you are looking to start your career in Artificial Intelligence and Machine Learning, the AI/ML Engineer role at Hewlett Packard Enterprise in Bengaluru is a strong opportunity.
This role is designed for freshers and early-career professionals (0–2 years experience) who want to work on real-world AI systems involving deep learning, predictive modeling, data engineering, and large-scale AI solutions.
HPE is a global technology leader in edge-to-cloud computing, meaning you will get exposure to enterprise-level AI systems that operate at scale across industries.
About the Company
Hewlett Packard Enterprise (HPE) is a global edge-to-cloud technology company helping organizations connect, analyze, and act on data across environments.
Key Highlights:
- Global enterprise technology leader
- Focus on AI, cloud, and data-driven transformation
- Works with large-scale enterprise and government systems
- Strong innovation culture with research-driven engineering
HPE is known for building systems that operate in high-performance computing, cloud infrastructure, AI-driven analytics, and enterprise solutions.
Job Details
| Category | Details |
|---|---|
| Job Role | AI/ML Engineer |
| Company | Hewlett Packard Enterprise |
| Location | Bengaluru, Karnataka |
| Work Mode | Onsite |
| Experience | 0–2 Years |
| Education | Bachelor’s / Master’s (Preferred) |
Role Overview
As an AI/ML Engineer, you will work on designing, building, and optimizing machine learning models for real-world systems.
Your responsibilities include working with data pipelines, model training, deep learning frameworks, and statistical analysis, while collaborating with cross-functional engineering teams.
This role is ideal for candidates who enjoy math, coding, data analysis, and AI model development.
Key Responsibilities
- Design and develop AI and machine learning models
- Perform data preprocessing, feature engineering, and data cleaning
- Train and evaluate ML models using structured and unstructured data
- Optimize algorithms through hyperparameter tuning and experimentation
- Apply statistical and analytical methods to extract insights
- Work with cross-functional teams (data scientists, engineers, product teams)
- Integrate AI solutions into enterprise systems
- Document models, experiments, and technical workflows
- Present findings and insights to stakeholders
- Participate in design reviews and agile standups
Help a friend land their next role. Share now!
Required Skills
- Strong programming in Python / R / Java
- Machine learning frameworks: TensorFlow / PyTorch / scikit-learn
- Strong knowledge of:
- Statistics
- Probability
- Linear Algebra
- Calculus
- Data handling and preprocessing skills
- SQL and database knowledge
- Data visualization tools (Matplotlib, Tableau)
- Understanding of ML concepts:
- Supervised learning
- Unsupervised learning
- Neural networks
- Deep learning basics
Preferred / Additional Skills
- Machine Learning Operations (MLOps)
- Data engineering basics
- Cloud platforms exposure
- Full stack development awareness
- Security-first mindset
- Scalability and performance testing
- Design thinking approach
- AI/LLM familiarity (bonus advantage)
Stipend / Salary (Market Estimate) 💰
Official salary is not disclosed, but based on similar AI/ML Engineer roles in Bengaluru:
| Experience | Estimated Salary |
|---|---|
| Fresher (0–1 year) | ₹6 LPA – ₹10 LPA |
| Early experience (1–2 years) | ₹8 LPA – ₹15 LPA |
In global companies like HPE, compensation may vary based on technical interview performance and skills.
Follow us on 
LinkedIn for the latest updates
Follow us on 
Threads for the latest updates
Subscribe ▶️ YouTube Channel for Latest Updates
Why This Role is Valuable
This job gives exposure to enterprise-grade AI systems used in:
- Cloud AI infrastructure
- Large-scale data systems
- Predictive analytics engines
- Deep learning applications
- Real-world production ML pipelines
You won’t just build models—you’ll work on scalable AI systems used in enterprise environments.
Career Growth Opportunities 📈
After this role, you can grow into:
- Machine Learning Engineer
- Data Scientist
- AI Engineer
- MLOps Engineer
- Data Engineer
- Research Engineer (AI/Deep Learning)
With experience, you can also move into senior AI architect roles or research-based positions.
How to Apply 🚀
To improve selection chances:
Focus Areas for Preparation:
- Python + OOP concepts
- ML algorithms (linear regression, classification, clustering)
- Deep learning basics (CNN, RNN, Transformers)
- SQL queries and data manipulation
- Statistics fundamentals
Project Ideas to Showcase:
- AI chatbot using Python
- Image classification model
- Stock price prediction using ML
- RAG-based document assistant
- Data analysis dashboard
Resume Tip:
Highlight:
- ML projects
- GitHub repositories
- Kaggle participation
- Internship experience (if any)
- Model accuracy improvements and results
Final Thoughts
The AI/ML Engineer role at Hewlett Packard Enterprise is a strong entry point into enterprise AI development.
If you are serious about building a career in machine learning, deep learning, and scalable AI systems, this role provides both technical depth and long-term growth opportunities.
It is especially valuable for candidates who want to work on real-world production AI systems rather than only academic projects.
Disclaimer This job information is collected from official/public sources. We do not charge any fees for job updates and do not guarantee recruitment. Please verify details from the official source before applying. We are not responsible for any losses arising from reliance on this information.
Share the opportunity