Siemens Energy Off-Campus Drive 2026 | AI / Machine Learning Engineer | Gurugram — Apply Now: Siemens Energy Off-Campus Drive 2026 is now open! Siemens Energy, a global leader in power generation and energy technologies, is currently hiring freshers for the role of AI / Machine Learning Engineer at its Gurugram delivery centre.
Moreover, this opportunity is part of the Digital Products and Solutions (DPS) organisation and is ideal for B.E/B.Tech graduates from the 2024, 2025, and 2026 batches who have strong foundations in Python, Machine Learning, and Generative AI. Therefore, if you are aiming to build a career in AI within a global energy-tech company, this role is highly valuable. Read on for complete details.
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| Field | Details |
|---|---|
| Company | Siemens Energy Industrial Turbomachinery India Pvt Ltd |
| Role | AI / Machine Learning Engineer |
| Job ID | 290463 |
| Organization | Digital Products and Solutions (DPS) |
| Location | Gurugram, Haryana |
| Eligibility | Bachelor’s in CS / IT or related field |
| Batch | 2024 / 2025 / 2026 |
| Experience | 0 – 3 Years |
| Salary | Not Disclosed (Competitive) |
| Employment Type | Full Time |
| Apply Mode | Online |
| Key Skills | Python, ML, GenAI, APIs, Cloud |
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To begin with, Siemens Energy is a globally recognised leader in power generation, transmission, and storage technologies, operating in over 90 countries. Notably, the company contributes to nearly one-sixth of the world’s electricity generation.
Furthermore, in India, Siemens Energy has a strong presence in Gurugram, Pune, and Mumbai, focusing on R&D and digital engineering. As a result, freshers joining this organisation gain exposure to cutting-edge AI/ML technologies and real-world energy solutions.
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Primarily, as an AI / Machine Learning Engineer, you will collaborate with data scientists, software engineers, and product teams to design and deploy machine learning models.
In addition, your work will involve transforming raw data into insights, optimising algorithms, and integrating AI capabilities into applications. This role is part of the DPS organisation, which develops software solutions for global customers.
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- ML & GenAI Pipelines: Assist in building ML and Generative AI pipelines, including preprocessing, training, and inference
- RAG & NLP Workflows: Support development of NLP and RAG-based workflows
- Text Processing: Perform data cleaning, parsing, chunking, and embeddings
- Backend APIs: Develop APIs using frameworks like FastAPI
- Model Integration: Integrate ML models into applications
- Clean Code: Write modular and maintainable Python code
- Collaboration: Work with cross-functional teams
- Debugging & Optimisation: Improve model performance and reliability
- Continuous Learning: Stay updated with AI/ML advancements
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- Education: Bachelor’s degree in CS / IT or related field
- Experience: 0–3 years or strong project background
- Python: Strong programming and problem-solving skills
- ML Fundamentals: Understanding of ML, NLP, and evaluation techniques
- Frameworks: NumPy, Pandas, scikit-learn, PyTorch or TensorFlow
- Generative AI: Knowledge of LLMs, prompt engineering, or RAG (preferred)
- APIs: Understanding of backend development (FastAPI is a plus)
- Cloud: Exposure to AWS or Azure
- Version Control: Knowledge of Git
- Soft Skills: Adaptability and eagerness to learn
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The hiring process generally includes the following rounds:
- Round 1 – Resume Screening: Based on academics and AI/ML projects
- Round 2 – Online Assessment: Python, ML basics, and problem-solving
- Round 3 – Technical Interview: In-depth discussion on ML, GenAI, and APIs
- Round 4 – HR Interview: Communication and cultural fit
Although the exact salary is not disclosed, Siemens Energy offers competitive compensation aligned with industry standards.
Additionally, employees benefit from:
- Structured learning programs
- Mentorship from experts
- Global exposure and mobility
- Health insurance and benefits
- Long-term career growth in AI/ML
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Follow these steps:
- Click on the “Apply Now” button provided below.
- You will be taken to the official Siemens portal.
- Sign in with your existing account or create a new profile if you are a first-time user.
- Complete the application form by entering your academic qualifications and personal information.
- Upload your latest resume in PDF format.
- Review your details carefully, submit the application, and save the reference number for future tracking.
Apply as soon as possible to avoid missing out.
Apply Link – Click here
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To maximize your chances of selection, follow these strategies:
- Strengthen Python Skills: Focus on data structures, functions, and problem-solving
- Revise ML Concepts: Cover supervised learning, evaluation metrics, and NLP basics
- Learn GenAI Basics: Understand LLMs, prompt engineering, and RAG concepts
- Practice Coding: Solve Python-based coding questions regularly
- Build AI Projects: Create projects involving ML or NLP
- Understand APIs: Learn FastAPI or Flask basics
- Prepare for Interviews: Be ready to explain your projects and ML workflows clearly
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Q1. Who is eligible to apply?
Graduates from 2024–2026 batches with a background in CS/IT and knowledge of Python and ML are eligible.
Q2. What is the salary offered?
The salary is not disclosed but is competitive.
Q3. What is the job location?
Gurugram, Haryana — full-time onsite role.
Q4. What is the selection process?
Resume screening, online test, technical interview, and HR round.
Q5. What is the last date to apply?
Not specified. Apply early.