Siemens Energy is Hiring for AI/Machine Learning Engineer in Gurugram | Apply Now

Siemens Energy Off Campus 2026:

Responsibilities of AI/ML Engineer:

• Assist in developing and maintaining Machine Learning and Generative AI pipelines, including data preprocessing, model training, evaluation, and deployment.

• Support development of simple RAG-based and NLP workflows under guidance.

• Work on text-processing tasks such as data cleaning, parsing, chunking, embedding generation, and data transformation.

• Contribute to backend APIs (e.g., FastAPI) to expose ML/AI functionalities.

• Help integrate AI models into applications and support deployment and production activities.

• Write clean, modular, and testable Python code following best practices.

• Collaborate with cross-functional teams to deliver AI-powered solutions and product features.

• Debug, test, and optimize models and pipelines for performance and reliability.

• Stay updated with the latest advancements in AI, Machine Learning, Large Language Models (LLMs), and Generative AI technologies.

Siemens Energy Off Campus- Eligibility Criteria:

• Bachelor’s degree in
  – Computer science
  – IT
  Related field.
• 0–3 years of experience or strong academic/project background in AI/ML.

Required skills:

• Programming skills in Python
• Problem-solving ability.
• ML concepts, NLP, and model evaluation.
• Exposure to libraries such as NumPy, Pandas, scikit-learn, or PyTorch/ TensorFlow.
• Familiarity with Generative AI concepts (LLMs, prompt engineering, or RAG is a plus).
• APIs and backend development.
• Exposure to cloud platforms (AWS/Azure) is a plus.
• Knowledge of Git and basic software development practices.
• Willingness to learn, adapt, and work in a fast-paced environment.

Click here for HR Interview Questions and Answers

Siemens Energy Recruitment Selection Process:

The Siemens selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

1. Online Application: The process begins with candidates submitting their applications through the official careers website
2. Resume Screening: The Company’s recruitment team reviews the applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
3. Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities.
4. Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews.
5. Offer: Candidates who successfully complete all interview stages and reference checks will receive a formal job offer.
6. Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
7. Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in the onboarding process. This includes orientation, training, and integration into the team.

Please note that the specific details of the selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

Why Join Siemens Energy?

• Fast-Tracked Growth
• Strong Employee Benefits
• Flexibility
• Innovative Culture
• Office perks