Siemens Energy AI/ML Engineer Jobs 2026 Gurugram

Posted Date: June 01, 2026
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Siemens Energy Off Campus Drive 2026: Siemens Energy Off Campus Drive Hiring announced for the role of AI/Machine Learning Engineer Off Campus 2026 Drive for 2026, 2025, 2024 Batch Freshers. Candidates with qualification of Bachelor’s Degree in Computer Science/IT or related field are eligible to apply for this Off Campus Drive. Interested and eligible candidates can apply online for AI/Machine Learning Engineer Off Campus Drive ASAP. In this article you will see how to apply, Job Description, Job Eligibility, Job Responsibilities, Skill Required, Hiring Process, Job Nature and all job details for Siemens Energy Off Campus Drive,.

Siemens Energy Off Campus Drive 2026 : Job Overview

Siemens Energy Off Campus Drive 2026 | Freshers | AI/Machine Learning Engineer | Bachelor’s Degree in Computer Science/IT or related field | 2026 / 2025 / 2024 Batch | Gurugram, Haryana. Visit our OffCampusDrive.co.in site for Off Campus Drive, Off Campus Placement, Internships, Pool Campus Drive, Joint Campus Drive, Walk-in Interview.

Job Role

AI/Machine Learning Engineer for the Digital Products and Solutions team, working on ML and GenAI-based applications for Siemens Energy business units.

Required Skills

  • Strong programming skills in Python with good debugging and problem-solving mindset.
  • Basic understanding of machine learning workflow, from data preprocessing to model deployment.
  • Exposure to ML libraries such as NumPy, Pandas, scikit-learn and at least one deep learning framework (PyTorch or TensorFlow).
  • Familiarity with NLP concepts like text cleaning, tokenization, embeddings and retrieval-augmented generation (RAG).
  • Knowledge of building and consuming backend APIs (FastAPI or similar) for integrating AI models.
  • Version control experience using Git and comfort working in a collaborative engineering environment.
  • Awareness of GenAI ecosystem including LLMs, prompt design and evaluation will be an added plus.
  • Good communication skills and willingness to learn new tools and cloud platforms (AWS/Azure).

Job Responsibilities

  • Support design and development of end-to-end ML and GenAI pipelines, including data preprocessing, training, evaluation and inference.
  • Implement and maintain NLP and RAG workflows to convert unstructured text into meaningful, query-able information.
  • Collaborate with senior data scientists and software engineers to integrate ML models into production-ready applications.
  • Develop backend services and APIs to expose AI capabilities to different internal and external products.
  • Write clean, modular, and testable Python code while following standard coding guidelines and version control practices.
  • Monitor, debug and improve the performance, reliability and scalability of AI/ML solutions in real use cases.
  • Document design decisions, experiments and model behaviour so that stakeholders can easily understand and reuse the work.
  • Work closely with product managers and domain experts to translate business requirements into ML features and PoCs.
Field Details
Company NameSiemens Energy Industrial Turbomachinery India Pvt Ltd
Employment TypeFull-time
Job TitleAI/Machine Learning Engineer
Job CategoryOff Campus
LocationGurugram, Haryana, India
EducationBachelor’s Degree in Computer Science, IT or related field
Batch2026, 2025, 2024
Experience0 – 3 Years
Salary / CTCNot Disclosed
Last DateASAP

How To Apply Siemens Energy Off Campus Drive?

Interested and eligible candidates must complete the job Application form as soon as possible using the official link provided below.

Apply Online

How to Apply?

  • First go through the complete Siemens Energy AI/Machine Learning Engineer job notification on the official careers page to understand the role and requirements clearly.
  • Prepare an updated resume highlighting your Python skills, AI/ML projects, internships, Kaggle work or academic research related to machine learning and GenAI.
  • Keep your contact details, academic records and project links (GitHub/portfolio) ready in a simple and professional format.
  • Click on the official Siemens Energy apply link given above, then click on the apply or submit button on the careers portal.
  • Fill in the online application form carefully with correct personal information, education details, work experience and skills, and upload your resume and any other required documents.
  • Review all the entered details once again, submit the form, and note down your application/reference ID for future tracking.
  • Regularly check your email and Siemens Energy careers account for updates regarding screening, online tests, technical discussions or HR rounds.

Frequently Asked Questions

1. What is the job role offered in Siemens Energy Recruitment 2026?

The opening is for the position of AI/Machine Learning Engineer in the Digital Products and Solutions team at Siemens Energy, Gurugram.

2. Who can apply for the Siemens Energy AI/Machine Learning Engineer role?

Candidates with a Bachelor’s degree in Computer Science, IT or a closely related discipline and 0–3 years of relevant experience or strong academic projects in AI/ML can apply.

3. Is this Siemens Energy opportunity suitable for freshers?

Yes, this position is targeted at early-career professionals, so freshers with solid machine learning fundamentals and project exposure are also considered.

4. What technical skills are important for this Siemens Energy AI/ML job?

You should be comfortable with Python, standard ML libraries, basic NLP, GenAI concepts and have some familiarity with backend API development and Git-based collaboration.

5. Where is the job location and what is the work model?

The role is based in Gurugram, Haryana, and offers a full-time position within Siemens Energy, with flexibility as per company hybrid work policies mentioned in the notification.

6. How will candidates be shortlisted for further Siemens Energy hiring rounds?

Shortlisting is usually done based on your online application, skills match and project details, followed by assessments, technical interviews and HR discussions as decided by Siemens Energy recruitment team.

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