Siemens Energy AI ML Engineer Jobs in Gurgaon 2026 for Freshers
About the role
Siemens Energy is hiring an AI/Machine Learning Engineer in Gurgaon, Haryana, and this is a strong entry point for graduates who want real AI and machine learning jobs for freshers at a global energy technology company. The role sits inside the Digital Products and Solutions business unit and is a full-time, entry-level position based in Gurgaon. If you have been searching for a Siemens Energy AI ML Engineer opening that lets early-career engineers work on production machine learning, this posting is built for that level.
Siemens Energy is an energy technology company with close to 100,000 employees across more than 90 countries. Its teams build the systems behind a large share of the world's electricity and focus on decarbonisation and the energy transition. The hiring entity for this position is Siemens Energy Industrial Turbomachinery India Private Limited, and the work falls under the EVP Global Functions organisation.
As an AI/Machine Learning Engineer, you will work alongside data scientists, software engineers and product managers to turn raw data into useful insights. The team designs, builds and maintains machine learning models and workflows, tunes algorithms for performance, and adds AI features into live applications so users get a smoother, more capable product.
Day to day in AI and ML
This Siemens Energy AI ML Engineer position is a hands-on engineering role with guidance from senior engineers, so expect to write code, test it and ship it as part of a cross-functional team. The main duties listed in the posting are:
- Help build and maintain machine learning and basic generative AI pipelines, covering data preprocessing, training, evaluation and inference.
- Support simple RAG based and NLP workflows under the direction of senior engineers.
- Handle text processing work such as data cleaning, parsing, chunking and creating embeddings.
- Contribute to backend APIs, for example with FastAPI, that expose ML and AI features to other services.
- Help plug trained AI models into applications and support deployment activities.
- Write clean, modular and testable Python code that follows good engineering practices.
- Work with senior engineers and other teams to deliver features end to end.
- Debug, test and optimise models and pipelines so they stay fast and reliable.
- Keep up with practical advances in AI, machine learning and generative AI.
Eligibility
This Siemens Energy AI ML Engineer role is pitched at the entry-level and graduate level, so freshers with a solid project record are genuinely in scope. The posting asks for:
- A bachelor's degree in computer science, information technology or a related field.
- Zero to three years of experience, or a strong academic and project background in AI and machine learning. Freshers with relevant projects are eligible.
- Good Python programming ability and strong problem-solving skills.
- A basic grasp of machine learning concepts, natural language processing and model evaluation.
Because the company counts academic and project work in place of formal experience, final-year students and recent graduates who have built real AI or ML projects can apply with confidence.
Skills that matter
The posting separates the core must-haves from the nice-to-haves. Knowing which is which helps you decide what to revise before you apply for AI ML engineer jobs in Gurgaon like this one.
- Python: the primary language for the role, paired with clear problem-solving.
- ML libraries: exposure to NumPy, Pandas, scikit-learn and PyTorch or TensorFlow.
- NLP and model evaluation: a working understanding of how language models and metrics behave.
- Generative AI (a plus): familiarity with LLMs, prompt engineering or RAG is treated as a bonus, not a barrier.
- Backend basics: a basic understanding of APIs and backend development.
- Cloud (a plus): exposure to AWS or Azure is welcome but not required.
- Git and engineering hygiene: knowledge of Git and standard software development practices.
The company also values a willingness to learn, adapt and work at pace, which matters more than ticking every optional box.
How to apply
Applications for this Siemens Energy AI ML Engineer role go through the official Siemens Energy careers portal. Use the Apply button and the job details panel on this page to reach the company's application form, create or sign in to your candidate profile, and submit your updated resume. Keep your project descriptions specific: name the models, libraries and datasets you used, since this is exactly the work the team cares about.
A few steps to prepare before you apply:
- Tighten your resume around Python, machine learning and any NLP or generative AI projects you have shipped.
- Be ready to explain one project end to end: the data, the model, how you evaluated it and what you would improve.
- Brush up on core ML concepts, basic NLP, and how RAG and embeddings fit together, since the role touches all three.
- Have a public code sample or Git history ready, as the posting names Git and clean code as expectations.
Classic Jobs is free to use. You never pay to apply for a listed role, and a genuine employer like Siemens Energy will not ask for money during hiring. If anyone requests a fee for this job, treat it as a scam. This listing is summarised from the official Siemens Energy posting, so confirm the latest details on the Siemens Energy careers page before you submit.
Common questions
Can freshers apply for this Siemens Energy AI ML Engineer job? Yes. The role is entry-level and accepts zero to three years of experience or a strong academic and project background in AI and ML, so freshers with real projects can apply.
Where is the job located? The position is based in Gurgaon, Haryana, India, and is listed as a full-time role.
What degree do I need? A bachelor's degree in computer science, information technology or a related field.
What is the salary? The salary is not disclosed by the company in the public posting.
Is generative AI experience mandatory? No. Familiarity with LLMs, prompt engineering or RAG is listed as a plus, not a requirement, and the same applies to AWS or Azure cloud exposure.
What is the last date to apply? The posting does not state a closing date, so apply early rather than waiting.
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