Hewlett Packard Enterprise is hiring for an AI/ML Engineer / Software Development Engineer I position in Bengaluru, Karnataka. This opportunity is aimed at professionals with typically 2โ4 years of experience who have hands-on exposure to machine learning, data preparation, model development and software engineering.
๐ Job Overview
- ๐ข Company: Hewlett Packard Enterprise (HPE)
- ๐ผ Role: AI/ML Engineer / Software Development Engineer I
- ๐ Location: Bengaluru, Karnataka โ 560048
- ๐ท๏ธ Category: Engineering & QA
- ๐ผ Experience: Typically 2โ4 Years
- ๐ Education: Bachelor’s degree in Computer Science, Engineering, Data Science, ML, AI or related quantitative discipline
- ๐ Job Level: TCP_02
- ๐ค Core Domain: Machine Learning / Artificial Intelligence
- ๐ Programming: Python, R or Java
- ๐ง Frameworks: TensorFlow, PyTorch, scikit-learn, Keras
- ๐๏ธ Database: SQL
๐ข About Hewlett Packard Enterprise
HPE describes itself as a global edge-to-cloud company, helping organizations connect, protect, analyze and act on data and applications across environments. Its technology focus spans AI, hybrid cloud, networking, compute, storage and software.
HPE India is a major technology hub, with offices across multiple Indian cities and Bengaluru among its locations. The company highlights industry-leading training, development and cross-functional learning opportunities for employees.
โญ Why This Role Is Good for Experienced Professionals
Although the role is titled Software Development Engineer I, the responsibilities provide substantial exposure to the complete ML lifecycle. Professionals will work with real-world datasets, preprocessing, feature engineering, model training, evaluation and optimization.
The position also goes beyond model experimentation. Candidates are expected to collaborate with software engineers and stakeholders, contribute to design reviews, identify issues during stand-ups, prepare technical presentations and potentially maintain dashboards, databases or business intelligence systems.
๐ง Skills Required
Candidates should focus on:
- ๐ค Machine Learning: Regression, decision trees, random forests, SVM and deep learning
- ๐ Mathematics: Linear algebra, calculus, probability and statistics
- ๐ Programming: Strong Python; R or Java is an advantage
- ๐งช ML Frameworks: scikit-learn, TensorFlow, PyTorch and Keras
- ๐งน Data Preparation: Cleaning, normalization, transformation, feature extraction and feature engineering
- ๐ Model Evaluation: Accuracy, precision, recall, F1-score, cross-validation and error analysis
- ๐ฏ Optimization: Hyperparameter tuning and model selection
- ๐๏ธ SQL: Data extraction, joins, aggregation and analytical queries
- ๐ง Software Engineering: Git, SDLC, code quality, testing and deployment concepts
- โ๏ธ Production ML: Model deployment, APIs, monitoring and production troubleshooting
- ๐ค Communication: Technical presentations and explaining ML concepts to non-technical stakeholders
๐ฏ Expected Interview Rounds at HPE
Round 1 โ Recruiter Screening: Experience, education, current project, location, availability and motivation for joining HPE.
Round 2 โ Technical ML Interview: ML fundamentals, Python/Java/R, statistics, algorithms, feature engineering, model evaluation and project discussion.
Round 3 โ Coding & Data/ML Problem Solving: Expect programming, SQL, data manipulation and practical problem-solving. Recent HPE SDE interview reports mention computer fundamentals, data structures and deep dives into projects.
Round 4 โ Managerial/Panel Discussion: Design decisions, collaboration, communication, stakeholder management and how you handle ambiguity. HPE notes that some positions include panel interviews.
The exact number of rounds can vary by team, seniority and business requirement.
๐ฐ Salary Range
The job description supplied does not specify an official salary range. Current third-party HPE data provides useful Bengaluru benchmarks. Glassdoor currently lists HPE Bengaluru Software Engineer compensation around โน8โ15 LPA, while recent individual submissions for Software Engineer roles include approximately โน11โ13 LPA and โน16โ24 LPA at different experience levels.
For AI/ML-specific HPE roles, Glassdoor currently shows an estimated โน4โ8 LPA for a Bengaluru AI and Machine Learning Engineer listing, but this estimate appears unusually broad/low compared with other HPE engineering data.
Therefore, for this 2โ4 year AI/ML Engineer opening, a reasonable preparation benchmark is approximately โน8โ15 LPA, with actual compensation depending on level, experience, skills and HPE’s internal pay structure. This is an indicative estimate, not an official salary range.
๐ Preparation Tips
๐ฅ 1. Master model evaluation: Don’t just memorize accuracy. Understand precision, recall, F1, ROC-AUC, confusion matrices and when each metric matters.
๐ฅ 2. Practice feature engineering: Prepare examples involving missing values, categorical encoding, scaling, outliers and feature selection.
๐ฅ 3. Be ready to explain algorithms: Know when you would choose linear regression, decision trees, random forests, SVM or neural networks.
๐ฅ 4. Strengthen mathematics: Revise vectors, matrices, derivatives, probability distributions and statistical concepts behind ML.
๐ฅ 5. Prepare one end-to-end project: Explain data ingestion โ cleaning โ feature engineering โ training โ tuning โ evaluation โ deployment.
๐ฅ 6. Don’t neglect software engineering: Practice Git, clean Python, unit testing, APIs and production deployment concepts.
๐ Resume Tips
Your resume should show hands-on ML implementation, not simply a list of AI keywords. Put Python, Machine Learning, scikit-learn/TensorFlow/PyTorch, SQL and data preprocessing prominently in the skills section.
Use measurable project bullets such as: โDeveloped and optimized a classification model using Python and scikit-learn, applying feature engineering and hyperparameter tuning to improve F1-score by X%.โ
๐ฉ How to Apply
๐ Application Link: Click Here
๐ค Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at Hewlett Packard Enterprise and request a referralโit can significantly enhance your visibility in the hiring process.
Candidates should apply through the official HPE Careers portal and search for the relevant AI/ML Engineer / Software Development Engineer I โ Bengaluru opening.
๐ Final Thoughts
The HPE AI/ML Engineer opening is a strong opportunity for professionals with 2โ4 years of experience who want to combine machine learning with real software engineering. Its emphasis on real-world datasets, feature engineering, model evaluation, programming, SQL, Git and production deployment makes it broader than a purely research-oriented ML role.
If you can demonstrate one or two strong end-to-end ML projects and confidently explain both the mathematics behind your models and the engineering decisions used to implement them, this role can be an excellent step toward an ML Engineer or AI Software Engineer career.
