Siemens Energy Off Campus Drive 2026 is now open! Siemens Energy, a global leader in power generation, transmission and energy industry technologies, is actively hiring B.E/B.Tech freshers for the role of AI / Machine Learning Engineer at its Gurugram delivery centre (Siemens Energy Industrial Turbomachinery India Pvt Ltd). This Siemens Energy Off Campus Drive 2026 opening is positioned within the central Digital Products and Solutions (DPS) organization and is ideal for 2024, 2025 and 2026 batch graduates with strong Python, ML and Generative AI fundamentals. Read on for full role details, eligibility and the direct application link.
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| Company | Siemens Energy Industrial Turbomachinery India Pvt Ltd |
| Role | AI / Machine Learning Engineer |
| Job ID | 290463 |
| Organization | EVP Global Functions – Digital Products and Solutions (DPS) |
| Location | Gurugram, Haryana, India |
| Eligibility | Bachelor’s in CS / IT or related field |
| Batch | 2024 / 2025 / 2026 Pass-outs |
| Experience | 0 – 3 Years (Freshers welcome) |
| Salary | Not Disclosed (Competitive) |
| Employment Type | Full Time |
| Apply Mode | Online (Siemens Energy Careers Marketplace) |
| Key Skills | Python, NumPy, Pandas, scikit-learn, PyTorch / TensorFlow, LLMs, RAG, FastAPI, Git, AWS / Azure |
Job Summary
Siemens Energy Off Campus Drive 2026 – Full Job Details
About Siemens Energy
Siemens Energy is a global leader in power generation, transmission and storage technologies, partnering with utilities, governments and industrial customers across 90+ countries. The company designs and operates technologies that power roughly one-sixth of the world’s electricity demand and is at the centre of the global energy transition. In India, Siemens Energy has significant R&D, engineering and Digital Products and Solutions (DPS) presence in Gurugram, Pune and Mumbai. For freshers, the Siemens Energy Off Campus Drive 2026 is a strong opportunity to break into applied AI/ML and Generative AI inside an energy-tech leader.
Role Overview – AI / Machine Learning Engineer
As an AI / Machine Learning Engineer joining the Siemens Energy Off Campus Drive 2026, you will collaborate with cross-functional teams — data scientists, software engineers and product managers — to design, develop and maintain robust ML models and workflows. The role focuses on transforming raw data into actionable insights, optimising algorithms for performance, and integrating AI capabilities into dynamic applications. You will work in the central Digital Products and Solutions (DPS) organisation in Gurugram, which builds software solutions for internal and external customers across the Siemens Energy ecosystem.
How You’ll Make an Impact
- ML & GenAI Pipelines: Assist in building and maintaining ML and basic Generative AI pipelines — data preprocessing, training, evaluation and inference.
- RAG & NLP Workflows: Support development of simple RAG-based and NLP workflows under guidance.
- Text Processing: Work on text processing tasks such as data cleaning, parsing, chunking and embeddings.
- Backend APIs: Contribute to backend APIs (e.g., FastAPI) to expose ML / AI functionalities.
- Model Integration: Help integrate AI models into applications and support deployment activities.
- Clean Code: Write modular, testable Python code following engineering best practices.
- Collaboration: Work with senior engineers and cross-functional teams to deliver features.
- Debugging & Optimisation: Debug, test and optimise models and pipelines for performance and reliability.
- Continuous Learning: Stay updated with the latest advancements in AI/ML and Generative AI.
What You Bring – Required Skills
- Education: Bachelor’s degree in Computer Science, IT or related field.
- Experience: 0–3 years of experience or strong academic / project background in AI/ML.
- Python: Good programming skills in Python and strong problem-solving ability.
- ML Fundamentals: Basic understanding of ML concepts, NLP and model evaluation.
- Frameworks: Exposure to NumPy, Pandas, scikit-learn, PyTorch or TensorFlow.
- GenAI: Familiarity with Generative AI concepts — LLMs, prompt engineering or RAG is a plus.
- APIs: Basic understanding of APIs and backend development (FastAPI is a plus).
- Cloud: Exposure to cloud platforms (AWS / Azure) is a plus.
- Git: Knowledge of Git and basic software development practices.
- Soft Skills: Willingness to learn, adapt and work in a fast-paced environment.
About the Team – Digital Products and Solutions (DPS)
In the central Digital Products and Solutions (DPS) organisation, the Software Application and Engineering department is responsible for developing software solutions for both internal and external customers. DPS’s software products cover a wide range of categories from asset performance management to digital workflows for the energy industry, with strong investment in AI/ML and Generative AI capabilities.
Selection Process
The Siemens Energy Off Campus Drive 2026 selection process for the AI / Machine Learning Engineer role typically follows these rounds:
- Round 1 – Resume Screening: Shortlisting based on academics, AI/ML projects and Python exposure.
- Round 2 – Online Assessment: Coding test covering Python, basic ML, NLP and problem-solving.
- Round 3 – Technical Interview: Deep dive on ML / GenAI concepts, projects and APIs with Siemens Energy DPS engineers.
- Round 4 – HR / Managerial Interview: Behavioural round covering communication, career goals and culture fit.
Salary & Benefits
Siemens Energy has not publicly disclosed the exact salary for this AI / Machine Learning Engineer role. As a global energy and engineering leader, Siemens Energy offers competitive compensation aligned with industry standards for fresher AI/ML roles, along with structured learning, mentorship, global mobility opportunities, comprehensive health insurance and a strong long-term career path inside the DPS organisation.
How to Apply for Siemens Energy Off Campus Drive 2026
- Click the “Apply Now” button below to visit the official Siemens Energy Careers Marketplace.
- Review the complete job description for the AI / Machine Learning Engineer role (Folder ID 290463).
- Create a candidate profile or log in if you already have one.
- Fill in the application form with your academic, internship and AI/ML project details.
- Upload your latest resume in PDF format highlighting Python / AI/ML / GenAI projects.
- Submit the application and note the reference number for follow-up.
Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official Siemens Energy careers page before applying.
Frequently Asked Questions – Siemens Energy Off Campus Drive 2026
Q1. Who is eligible to apply for Siemens Energy Off Campus Drive 2026?
Bachelor’s degree holders in Computer Science, IT or related fields from the 2024, 2025 or 2026 batches with 0–3 years of experience or strong academic / project background in AI/ML are eligible. Good Python programming skills and exposure to ML frameworks (NumPy, Pandas, scikit-learn, PyTorch / TensorFlow) are required.
Q2. What is the salary offered in Siemens Energy Off Campus Drive 2026?
Siemens Energy has not publicly disclosed the exact salary for this AI/ML Engineer role. The compensation is competitive and aligned with industry standards for fresher AI/ML roles at global engineering firms.
Q3. What is the job location for the AI / ML Engineer role?
The AI / Machine Learning Engineer role under Siemens Energy Off Campus Drive 2026 is based at Siemens Energy Industrial Turbomachinery India Pvt Ltd in Gurugram, Haryana, India. It is a full-time onsite role.
Q4. What is the selection process for Siemens Energy Off Campus Drive 2026?
The Siemens Energy Off Campus Drive 2026 selection process includes resume screening, an online assessment on Python / ML / NLP, a technical interview focused on AI/ML projects and APIs, and a final HR interview.
Q5. What is the last date to apply for Siemens Energy Off Campus Drive 2026?
The exact last date has not been announced by Siemens Energy. We recommend applying as soon as possible since AI/ML positions at global firms fill up quickly. Click the Apply Now button above to submit your application on the official Siemens Energy Careers Marketplace.
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