As an AI/Machine Learning Engineer, you will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to design, develop, and maintain robust machine learning models and workflows. Your work will involve optimizing algorithms for performance and integrating AI capabilities into dynamic applications to provide seamless user experiences.
You will be part of the central Digital Products and Solutions (DPS) organization, within the Software Application and Engineering department, which develops software solutions for both internal and external customers across categories like Asset Performance Management, Energy Management, and AI-assisted Applications.

AI/Machine Learning Engineer

As an AI Engineer at ZS, you will build and refine ML Engineering platforms and components, ensuring they can scale to massive datasets while meeting strict SLAs. You will be responsible for orchestrating end-to-end model pipelines, including feature engineering, inferencing, and continuous model training. A critical part of your role involves implementing MLOps practices, such as tracking model KPIs, monitoring model drift, and establishing feedback loops using tools like MLFlow .
You will write production-ready, testable code that accounts for edge cases and errors. Collaborating with client-facing teams, you will gather technical requirements and translate them into high-performance ML models. Working in an Agile Scrum environment, you will use version control and bug tracking tools to deliver high-quality code. Additionally, you will conduct proof-of-concepts (PoCs) to research latest architecture patterns, ensuring ZS remains a leader in technology-enabled consulting.

AI Engineer – Machine Learning

You will utilize frameworks like PyTorch or TensorFlow to implement and debug robust DL models, optimizing them for cloud and edge deployment using large-scale field data. Furthermore, you will leverage advanced GenAI tools and LLM APIs to build innovative RAG pipelines and AI agents for workflow automation, communicating your technical findings to internal cross-functional teams.

Machine Learning Scientist I

As a Machine Learning Intern at Seagate, you will be part of a core product team of 12-15 engineers and data scientists. Your primary focus will be developing and optimizing Large Language Model (LLM) based solutions. You will leverage both commercial models, like Azure OpenAI , and open-source models, like Llama , to accelerate daily workflows for end-users. This role requires a seamless integration of AI models into existing Big Data platforms and supporting infrastructure.
In addition to model development, you will design and implement tools for the entire MLOps lifecycle —including deployment, serving, monitoring, and experimentation. You will collaborate with Business SMEs and Data Engineers to ensure that deep learning solutions are scalable and efficient. Success in this role requires a detail-oriented professional who can question complex problems and propose innovative, out-of-the-box AI solutions for the HiTech and manufacturing space.

Intern – Machine Learning (Gen AI)

For the HPE Recruitment 2026 drive, the software engineering division is looking for an entry-level Systems/Software Engineer to code, enhance, and update portions of critical systems software. This includes working on operating systems, compilers, networking utilities, and databases.
As part of this role, you will execute established test plans, debug issues, and collaborate closely with internal teams and outsourced development partners. Note: This role is designed as ‘Hybrid’ with the expectation that you will work, on average, 2 days per week from the HPE office in Bangalore.

AI/Machine Learning Engineer

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