Siemens Energy Recruitment 2026 | Mass Hiring for AI/Machine Learning Engineer
Siemens Energy Recruitment 2026 : Siemens Energy is hiring candidates for the position of AI/Machine Learning Engineer. Candidates with a B.E, B.Tech, or B.Sc degree and relevant skills in Artificial Intelligence and Machine Learning can apply for this opportunity.
The position is based in Gurugram. Candidates who meet the eligibility requirements can apply online through the official Siemens Energy careers portal as soon as possible. The complete details about the role, eligibility criteria, responsibilities, selection process, and application procedure are provided below.
About Siemens Energy : Siemens Energy is a global energy technology company that works on technologies and solutions supporting the transition toward more sustainable energy systems. The company operates across areas such as power generation, transmission, and energy technologies.
Siemens Energy Recruitment 2026 – Details
| Particulars | Details |
|---|---|
| Job Role | AI/Machine Learning Engineer |
| Job Category | IT Jobs |
| Qualification | B.E/B.Tech/B.Sc |
| Experience | 6 Months – 1 Year |
| Salary/CTC | Best in Industry |
| Job Location | Gurugram |
| Last Date to Apply | As Soon As Possible |
Siemens Energy Recruitment Jobs 2026 Eligibility Criteria
Candidates interested in the Siemens Energy AI/Machine Learning Engineer position should meet the following requirements:
- A bachelor’s degree in Computer Science, Information Technology, or a related field.
- Around 6 months to 1 year of experience in AI/ML, or a strong academic and project background in the field.
- Good programming knowledge in Python along with strong problem-solving skills.
- Basic knowledge of Machine Learning concepts, Natural Language Processing (NLP), and model evaluation.
- Familiarity with libraries and frameworks such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
- Knowledge of Generative AI concepts, including LLMs, prompt engineering, or RAG, will be an advantage.
- Basic understanding of APIs and backend development.
- Exposure to cloud platforms such as AWS or Azure is an added advantage.
- Familiarity with Git and basic software development practices.
- Candidates should be willing to learn new technologies and adapt to a fast-paced work environment.
How You’ll Make an Impact
As an AI/Machine Learning Engineer, you will work with the team on developing and supporting AI/ML solutions. Your responsibilities may include:
- Helping build and maintain Machine Learning and basic Generative AI pipelines, including data preprocessing, model training, evaluation, and inference.
- Supporting the development of RAG-based and NLP workflows with guidance from senior team members.
- Working on text-processing activities such as data cleaning, parsing, chunking, and creating embeddings.
- Contributing to backend APIs, including APIs developed using frameworks such as FastAPI.
- Helping integrate AI models into applications and supporting deployment activities.
- Writing clean, modular, and testable Python code.
- Working with senior engineers and other teams to develop and deliver new features.
- Testing and debugging models and pipelines and helping improve their performance and reliability.
- Keeping up with developments in AI, Machine Learning, and Generative AI technologies.
Job Description
Siemens Energy is looking for an AI/Machine Learning Engineer who can contribute to the development of practical machine learning solutions. In this role, you will work with data scientists, software engineers, product teams, and other professionals to develop and maintain AI/ML models and workflows.
The role involves working with raw data, preparing it for machine learning applications, improving model performance, and integrating AI capabilities into software applications. You will also get an opportunity to work with modern AI technologies while collaborating with experienced team members.
Selection Process
The selection process may vary depending on the role and hiring requirements. Candidates can generally expect some or all of the following stages:
- Application Screening – The recruitment team will review the submitted application and resume.
- Technical Assessment/Interview – Shortlisted candidates may be evaluated on Python, AI/ML concepts, projects, problem-solving, and related technical skills.
- Technical/Managerial Discussion – Candidates may have further discussions with the technical or hiring team about their experience and suitability for the role.
- HR Interview – The final stage may include an HR discussion covering communication skills, career interests, and other employment-related details.
- Final Selection – Candidates who successfully complete the required rounds may receive further communication regarding the offer and joining process.
The exact selection stages may differ based on Siemens Energy’s hiring process.
How to Apply for Siemens Energy Off Campus Drive 2026?
Interested and eligible candidates can apply for the AI/Machine Learning Engineer position online through the official Siemens Energy careers website. Candidates should review the eligibility requirements carefully and submit their updated resume and other required details through the application portal. Since the last date is mentioned as ASAP, applicants are advised to apply as early as possible.
Apply Link : Click Here To Apply
And also apply in Infosys Off Campus Drive 2026
Conclusion
Siemens Energy is an opportunity for candidates with a background in Computer Science, IT, AI, or Machine Learning to start or build their career as an AI/Machine Learning Engineer. Candidates with knowledge of Python, ML libraries, NLP, Generative AI, APIs, and cloud technologies can consider applying for this position.
FAQs for Siemens Energy Hiring 2026
1. What is the job role offered through Siemens Energy Recruitment 2026?
The company is hiring for the position of AI/Machine Learning Engineer.
2. What qualifications are required for Siemens Energy Recruitment 2026?
Candidates with a B.E, B.Tech, or B.Sc degree in Computer Science, IT, or a related field can apply, subject to the other eligibility requirements.
3. What experience is required for the AI/Machine Learning Engineer role?
The stated experience requirement is 6 months to 1 year, although candidates with a strong academic or project background in AI/ML may also be considered.
4. Where is the Siemens Energy job located?
The job location for this position is Gurugram.
5. How can I apply for Siemens Energy Recruitment 2026?
Eligible candidates can apply online through the official Siemens Energy careers portal as soon as possible.
