If you are a fresher or experienced candidate looking for a strong opportunity, the AI/Machine Learning Engineer role at Siemens Energy is a great option. This off-campus drive offers an excellent platform for fresh graduates to kickstart their careers in cutting-edge AI technologies while contributing to the global energy transition. Below are complete details about the role, eligibility, and application process.
Job Overview Table
| Job Role | AI/Machine Learning Engineer |
| Company | Siemens Energy |
| Location | Gurgaon, Haryana |
| Job Type | Full-Time |
| Experience | Freshers / 0-3 Years |
| Batch Eligible | 2024 / 2025 / 2026 |
| CGPA | 6.0 CGPA or above |
| Backlogs | No active backlogs |
| Gap Year | No year gap allowed |
Why This Role is Worth Considering
- Work on cutting-edge AI and Machine Learning technologies that drive the global energy transition
- Exposure to Generative AI, Large Language Models, and advanced NLP applications
- Collaborative environment with experienced professionals and global mentorship opportunities
- Comprehensive benefits package including medical insurance and flexible salary components
- Excellent career growth path from ML Engineer to AI Solution Architect roles
About Siemens Energy
Siemens Energy is one of the world’s leading energy technology companies, operating in more than 90 countries with nearly 100,000 employees. The company is at the forefront of helping industries and governments transition toward cleaner, smarter, and more sustainable energy systems. With a strong focus on innovation in digital technologies, Artificial Intelligence, automation, and engineering, Siemens Energy creates cutting-edge solutions that power the future of global energy. The company fosters an inclusive and diverse workplace culture that encourages continuous learning and professional development. Employees at Siemens Energy work on meaningful projects that contribute to a sustainable future while gaining valuable experience in advanced technologies. The organization provides excellent career growth opportunities, global exposure, and a supportive environment for young professionals to thrive in their careers.
Key Responsibilities
- Build and maintain scalable Machine Learning pipelines for real-world business applications
- Develop and deploy Generative AI applications and solutions
- Work on Retrieval-Augmented Generation (RAG) workflows and implementations
- Perform data preprocessing, cleaning, and feature engineering tasks
- Develop backend APIs using FastAPI for AI model integration
- Integrate AI models into business applications and systems
- Debug and optimize Machine Learning models for better performance
- Write clean, modular, and reusable Python code following best practices
- Collaborate with cross-functional teams including software engineers and data scientists
- Stay updated with emerging AI technologies and industry best practices
Eligibility Criteria
| Criteria | Requirement |
|---|---|
| Degree | Bachelor’s Degree |
| Branch | Computer Science, IT, or Related Field |
| Batch | 2024, 2025, 2026 |
| CGPA | 6.0 CGPA or above |
| Backlogs | No active backlogs |
Skills Required
- Strong programming knowledge in Python language
- Basic understanding of Machine Learning algorithms and concepts
- Knowledge of NumPy, Pandas, and Scikit-learn libraries
- Experience with cloud platforms and deployment technologies
- Understanding of backend API development using FastAPI
- Knowledge of Docker containerization basics
- Data engineering and preprocessing skills
- Team collaboration and communication abilities
- Analytical and problem-solving capabilities
- Agile development methodology experience
Is This Role Right for You?
- Good fit if you are passionate about AI, ML, and Generative AI technologies
- Not ideal if you lack basic Python programming skills
- Location note: Position is based in Gurgaon, Haryana with hybrid work options
- Salary note: Competitive industry-standard compensation package offered
How to Apply
- Click on the official apply link provided below
- Search for the AI/Machine Learning Engineer position
- Submit your application with updated resume and documents
Career Growth
AI/Machine Learning Engineer → Machine Learning Engineer → Senior ML Engineer → Lead AI Engineer
