The Siemens Energy AI/Machine Learning Engineer role is an excellent opportunity for fresh graduates and early-career professionals interested in Artificial Intelligence, Machine Learning, Generative AI, NLP, and backend AI application development.
Siemens Energy is actively hiring AI/Machine Learning Engineers for its Gurugram office. This role provides hands-on exposure to machine learning pipelines, Generative AI applications, Retrieval-Augmented Generation (RAG), backend APIs, cloud technologies, and production-grade AI systems.
Candidates interested in AI Engineer Jobs Gurgaon, Machine Learning Engineer India, Generative AI Jobs, or NLP Engineer Jobs may find this opportunity highly valuable for building a strong AI career.
About Siemens Energy
Siemens Energy is one of the world’s leading energy technology companies, operating in more than 90 countries with approximately 100,000 employees worldwide.
The company develops technologies that support the global energy transition and contribute to reliable and sustainable electricity generation.
Business Areas
- Energy Management
- Asset Performance Management
- Asset Monitoring
- Asset Health Prediction
- AI-Assisted Applications
- Customer Portals
- Connectivity & Edge Solutions
- Digital Platforms
- Professional Services
According to Siemens Energy, its technologies contribute to approximately one-sixth of the world’s electricity generation.
Job Overview
The AI/Machine Learning Engineer will work within the Digital Products and Solutions (DPS) organization, supporting the development of AI-powered software products and digital solutions.
The role focuses on building machine learning workflows, Generative AI solutions, NLP systems, and backend services while collaborating with experienced engineers and cross-functional teams.
Job Details
| Details | Information |
|---|---|
| Role | AI/Machine Learning Engineer |
| Company | Siemens Energy |
| Location | Gurugram, Haryana |
| Employment Type | Full-Time |
| Experience | 0–3 Years |
| Work Mode | Hybrid (Up to 1 Day Remote Per Week) |
Roles and Responsibilities
Machine Learning Development 🤖
- Build and maintain machine learning pipelines
- Support model training and evaluation
- Work on model inference systems
- Optimize workflows for performance and reliability
Generative AI Development 🧠
- Assist in building Generative AI solutions
- Support Retrieval-Augmented Generation (RAG) workflows
- Work on prompt engineering tasks
- Contribute to AI-powered applications
Natural Language Processing (NLP) 📚
- Perform text preprocessing
- Work on parsing and chunking pipelines
- Generate embeddings for semantic search
- Support NLP model implementation
Backend API Development ⚙️
- Build APIs using FastAPI
- Expose AI and ML functionality through backend services
- Integrate AI models into production systems
Collaboration & Delivery 🚀
- Work closely with senior engineers
- Collaborate with software developers and product teams
- Participate in testing and debugging activities
- Contribute to feature delivery and deployment
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Skills Required
Candidates applying for the Siemens Energy AI/Machine Learning Engineer role should possess knowledge of:
| Skill Area | Required Skills |
|---|---|
| Programming | Python |
| Machine Learning | ML Fundamentals |
| NLP | Natural Language Processing |
| Data Science | NumPy, Pandas |
| ML Libraries | Scikit-learn |
| Deep Learning | PyTorch or TensorFlow |
| Backend Development | APIs, FastAPI |
| Version Control | Git |
Strong problem-solving and analytical abilities are highly valued.
Preferred Skills 🌟
The following skills may provide an advantage during selection:
Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- RAG Architectures
- AI Agents
Cloud Technologies
- AWS
- Microsoft Azure
Software Engineering
- Clean Coding Practices
- Testing and Validation
- Debugging
- Performance Optimization
Technologies You May Work With
AI & Machine Learning
- Python
- Scikit-learn
- TensorFlow
- PyTorch
Data Processing
- NumPy
- Pandas
Generative AI
- Large Language Models
- Retrieval-Augmented Generation (RAG)
- Embeddings
- NLP Pipelines
Backend Development
- FastAPI
- REST APIs
Cloud Platforms
- AWS
- Azure
This technology stack offers strong exposure to modern AI engineering and enterprise software development.
Educational Requirements 🎓
Candidates should possess:
- Bachelor’s Degree in:
- Computer Science
- Information Technology
- Related Engineering Fields
Fresh graduates and candidates with up to 3 years of experience are encouraged to apply.
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Benefits and Perks 🎁
Siemens Energy offers several employee benefits.
Employee Benefits
- Hybrid work model
- Remote work up to 1 day per week
- Medical insurance coverage
- Family floater insurance
- Coverage for spouse and dependent children
- Meal card option
- Learning and career development opportunities
- Exposure to global engineering teams
How to Apply
Before applying, ensure your resume highlights:
- Python projects
- Machine Learning projects
- NLP implementations
- Generative AI work
- RAG systems
- FastAPI applications
- Cloud platform experience
- GitHub repositories
- Hackathon participation
- Research projects
Candidates with hands-on AI projects and strong programming fundamentals may have an advantage during the hiring process.
Disclaimer:
This information is collected from official/public sources for informational purposes only. Salary estimates are based on market research and may vary. We do not charge any fee for job updates and do not guarantee selection or recruitment. Candidates should verify details from the official source before applying.
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