Siemens Energy has announced an exciting career opportunity for aspiring AI and Machine Learning professionals through its latest Off Campus Drive 2026. The company is hiring for the position of AI/Machine Learning Engineer in Gurugram, Haryana. This opportunity is ideal for candidates who are passionate about artificial intelligence, machine learning, natural language processing, and emerging Generative AI technologies.
Candidates with a strong academic background in Computer Science, Information Technology, or related fields and up to three years of experience can apply for this role. The position offers exposure to cutting-edge technologies, collaborative work environments, and the chance to contribute to innovative software solutions used across the global energy industry.
If you are looking for Graduate Jobs, Entry Level Jobs, AI Jobs, Machine Learning Jobs, or Latest Jobs 2026, this Siemens Energy hiring opportunity can be an excellent career move.
About the Company
Siemens Energy is one of the world’s leading energy technology companies, employing nearly 100,000 professionals across more than 90 countries. The company plays a critical role in shaping modern energy systems and supporting the global transition toward sustainable energy solutions.
With a legacy spanning over 150 years of innovation, Siemens Energy develops technologies that contribute significantly to global electricity generation and energy transformation. The company focuses on decarbonization, digitalization, renewable energy, and advanced industrial solutions.
Working at Siemens Energy provides employees with opportunities to collaborate on impactful projects, learn from experienced professionals, and contribute to technologies that help build a more sustainable future.
Job Role Overview
The AI/Machine Learning Engineer will be responsible for supporting the development and deployment of machine learning and Generative AI solutions. The selected candidate will work closely with data scientists, software engineers, and product managers to create AI-powered applications and workflows.
The role involves transforming raw data into actionable insights, building machine learning pipelines, supporting NLP and Retrieval-Augmented Generation (RAG) solutions, integrating AI capabilities into applications, and optimizing model performance.
Candidates will gain hands-on exposure to modern AI technologies while contributing to products within Siemens Energy’s Digital Products and Solutions organization.
Job Details
| Field | Details |
|---|---|
| Company Name | Siemens Energy Industrial Turbomachinery India Private Limited |
| Job Role | AI/Machine Learning Engineer |
| Qualification | Bachelor’s Degree in Computer Science, IT, or Related Field |
| Batch | Recent Batches Eligible |
| Experience | 0–3 Years |
| Salary | Best in Industry |
| Job Location | Gurugram, Haryana, India |
| Application Deadline | Apply As Soon As Possible |
Employment Type: Full-Time
Experience Level: Experienced Professional
Organization: EVP Global Functions
Business Unit: Digital Products and Solutions
Department: Software Application and Engineering
Eligibility Criteria
Candidates applying for this opportunity should meet the following requirements:
- Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
- 0–3 years of professional experience in AI, Machine Learning, or related areas.
- Strong academic projects or practical experience in AI/ML can also be considered.
- Good programming skills in Python.
- Understanding of machine learning fundamentals.
- Basic knowledge of NLP and model evaluation techniques.
- Familiarity with backend development concepts and APIs.
- Knowledge of software development practices and version control systems.
- Ability to learn quickly and work in a dynamic environment.
Key Responsibilities
Selected candidates will be responsible for:
- Building and maintaining machine learning pipelines.
- Supporting data preprocessing, model training, evaluation, and inference workflows.
- Assisting in the development of basic Generative AI solutions.
- Supporting Retrieval-Augmented Generation (RAG) workflows.
- Working on NLP-related tasks and text-processing operations.
- Performing data cleaning, parsing, chunking, and embedding activities.
- Contributing to backend API development using frameworks such as FastAPI.
- Integrating AI and machine learning models into business applications.
- Supporting deployment and operational activities for AI solutions.
- Writing clean, modular, maintainable, and testable Python code.
- Collaborating with senior engineers and cross-functional teams.
- Debugging and optimizing machine learning models.
- Improving performance, scalability, and reliability of AI systems.
- Staying updated with advancements in AI, Machine Learning, NLP, and Generative AI technologies.
Skills Required
Technical Skills
- Python Programming
- Machine Learning Fundamentals
- Natural Language Processing (NLP)
- Model Evaluation Techniques
- Data Preprocessing
- Generative AI Concepts
- Retrieval-Augmented Generation (RAG)
- FastAPI
- Backend Development
- NumPy
- Pandas
- Scikit-learn
- PyTorch
- TensorFlow
- API Development
- Git Version Control
- Software Development Best Practices
Preferred Skills
- Prompt Engineering
- Large Language Models (LLMs)
- Cloud Platforms such as AWS or Azure
- AI Application Integration
- Deployment and Monitoring
Soft Skills
- Problem-Solving Ability
- Analytical Thinking
- Collaboration Skills
- Communication Skills
- Adaptability
- Learning Mindset
- Attention to Detail
- Teamwork
Selection Process
The official selection process has not been explicitly mentioned in the job description. Candidates can expect the hiring process to evaluate:
- Academic and technical background
- Python programming knowledge
- Machine learning concepts
- AI and NLP understanding
- Problem-solving capabilities
- Technical discussions and interviews as per company requirements
Salary and Benefits
The salary package for this role has not been disclosed by Siemens Energy. Therefore, compensation can be considered Best in Industry and will depend on experience, skills, and company policies.
Benefits Offered
- Remote working arrangement up to 1 day per week.
- Comprehensive medical insurance coverage.
- Family floater insurance covering employee, spouse, and up to two dependent children aged up to 25 years.
- Meal Card facility as per company policy.
- Tax-saving opportunities through salary structure benefits.
- Flexi Pay program allowing customization of salary components.
- Exposure to global projects and advanced technologies.
- Opportunity to work with experienced professionals in the energy and digital technology sector.
Why You Should Apply
This role offers a unique opportunity to work at the intersection of artificial intelligence and energy technology. Candidates will gain practical exposure to machine learning, NLP, Generative AI, backend development, and cloud technologies while contributing to solutions that support global energy transformation.
The position provides valuable experience in developing enterprise-grade AI applications and working alongside experienced engineers, product teams, and data scientists. For candidates looking to build a long-term career in AI and Machine Learning, Siemens Energy offers excellent learning opportunities, professional growth, and industry exposure.
Additionally, employees benefit from flexible work arrangements, comprehensive insurance coverage, and the opportunity to contribute to sustainable energy initiatives that have a meaningful global impact.
Job Preparation Tip
Focus on strengthening your Python programming skills and understanding core machine learning concepts. Practice working with libraries such as NumPy, Pandas, Scikit-learn, PyTorch, and TensorFlow. Additionally, learn the fundamentals of NLP, Generative AI, Retrieval-Augmented Generation (RAG), and API development using FastAPI to improve your chances during technical evaluations.
How to Apply for the Job
| Step | Action |
|---|---|
| Step 1 | Visit the official company careers page |
| Step 2 | Search for the job role |
| Step 3 | Register or login |
| Step 4 | Fill the application form |
| Step 5 | Upload resume |
| Step 6 | Submit the application |
Apply for this Job
| Role | Apply Link |
|---|---|
| AI/Machine Learning Engineer | Apply for this Job |
Important Notes for Candidates
- Ensure your resume highlights AI, Machine Learning, NLP, and Python projects.
- Showcase academic projects involving machine learning or Generative AI.
- Familiarity with cloud platforms such as AWS or Azure can provide an advantage.
- Prepare thoroughly for technical discussions related to ML algorithms and NLP.
- Apply as early as possible since the application deadline has not been specified.
Frequently Asked Questions (FAQ)
Who can apply for the Siemens Energy AI/Machine Learning Engineer role?
Candidates with a Bachelor’s degree in Computer Science, IT, or a related field and 0–3 years of experience can apply.
Is this role suitable for freshers?
Candidates with strong academic projects and relevant AI/ML skills may be considered, especially those with up to three years of experience.
What is the job location?
The position is based in Gurugram, Haryana, India.
What technologies should candidates know?
Applicants should be familiar with Python, Machine Learning, NLP, APIs, Git, and libraries such as NumPy, Pandas, Scikit-learn, PyTorch, or TensorFlow.
Does Siemens Energy provide employee benefits?
Yes. Employees receive medical insurance, family coverage, meal card options, Flexi Pay benefits, and remote working arrangements.
Is cloud knowledge mandatory?
No. However, exposure to AWS or Azure is considered an advantage.
The Siemens Energy Off Campus Drive 2026 for AI/Machine Learning Engineer presents an outstanding opportunity for aspiring AI professionals to work with one of the world’s leading energy technology companies. Eligible candidates should apply as soon as possible and prepare thoroughly to showcase their technical expertise. Keep checking for the latest jobs, freshers hiring opportunities, and graduate openings to stay ahead in your career journey.
