AI and Machine Learning Engineer I at HPE Bengaluru | ₹10–18 LPA

AI and Machine Learning Engineer I

This position follows a hybrid work model, with an expectation to work from an HPE office around two days each week.

About the Company

Hewlett Packard Enterprise is a global edge-to-cloud organization helping businesses connect, protect, analyze, and act on their data and applications from edge to cloud environments. The company focuses on turning insights into outcomes while supporting innovation, flexibility, and collaboration across teams.

Within HPE Networking, the Digital Experience & Automation (DEA) team focuses on improving how customers, partners, and employees interact with support and services in a digital-first environment. The team builds AI-driven platforms and automation solutions that simplify processes, improve efficiency, and create consistent digital experiences.

The group works closely with engineering, business teams, and technology partners to deploy scalable solutions that enable predictive and proactive service experiences. Through data engineering, automation, and intelligent systems, the team aims to streamline journeys and reduce operational friction.

Role Overview

This role focuses on developing and programming integrated algorithms that structure and analyze both structured and unstructured data for product and system applications. The position involves working with large-scale computing frameworks, analytics systems, and modeling environments.

The engineer applies machine learning and statistical techniques to improve product performance, data accuracy, and operational efficiency. Responsibilities include generating descriptive, predictive, and prescriptive insights and translating technical specifications into working code.

The role also involves applying and scaling deep learning technologies that allow systems to interpret data, learn patterns, and respond to complex scenarios. Engineers document procedures, perform testing and debugging, and monitor performance metrics while contributing to AI and ML based product enhancements.

Key Responsibilities

• Design, build, and implement machine learning and AI models, including data preparation, feature engineering, algorithm selection, model training, and evaluation.
• Collect and analyze relevant datasets to train and validate machine learning models using appropriate statistical and data analysis techniques.
• Improve model and algorithm performance through optimization techniques such as hyperparameter tuning, experimentation, and dimensionality reduction.
• Collaborate with data scientists, software engineers, product managers, and domain specialists to align technical work with project goals and integrate AI solutions into existing systems.
• Maintain detailed documentation for AI and ML projects, including methodologies, code implementations, and experiment outcomes.
• Participate in design review discussions with engineering managers and team leaders to ensure solutions follow best practices and meet project objectives.
• Incorporate feedback during development and implementation phases to support continuous improvement.
• Join regular stand-up meetings to report progress, address challenges, and coordinate tasks with team members.
• Prepare reports and presentations that communicate technical findings and recommendations to stakeholders.
• Interpret data insights and assist in maintaining or updating business intelligence tools, dashboards, databases, or analytical systems when required.

Technical Knowledge and Skills

• Programming experience in languages such as Python, R, or Java.
• Familiarity with machine learning libraries and frameworks including TensorFlow, PyTorch, or scikit-learn.
• Understanding of statistical concepts, probability, linear algebra, calculus, and optimization methods used in machine learning.
• Knowledge of machine learning approaches such as supervised and unsupervised learning, neural networks, deep learning, reinforcement learning, and natural language processing.
• Experience working with large datasets, data preprocessing, data cleaning, and exploratory data analysis.
• Ability to work with SQL databases and data visualization tools such as Matplotlib or Tableau.

Employee Benefits

HPE provides programs that support employee wellbeing across physical, financial, and emotional aspects. The company also invests in professional development through learning opportunities and career growth programs.

The workplace promotes inclusive collaboration and values diverse backgrounds. Employees are encouraged to explore new ideas, contribute to innovation, and grow their careers while working with global teams.