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Siemens Gamesa Hiring AI Intern – Rotor Performance

Siemens Gamesa is inviting applications for the role of AI Intern – Rotor Performance in Bangalore. This is a full-time internship for early professionals, recent graduates, or current students pursuing UG, PG, or PhD in engineering, science, mathematics, or related fields.

The internship provides an exciting opportunity to contribute to the next-generation aerodynamic performance analysis framework for wind turbines, combining AI-driven automation with renewable energy research. Interns will gain practical exposure to AI/ML techniques, engineering workflows, and tool development, building a strong foundation for a career in renewable energy and AI-based R&D.

Siemens Gamesa Hiring AI Intern – Rotor Performance

About Siemens Gamesa

Siemens Gamesa, part of Siemens Energy, is a global leader in renewable energy technology. With a workforce of approximately 100,000 employees in over 90 countries, Siemens Energy develops energy systems that drive the global transition toward sustainable power.

The company focuses on creating innovative solutions for wind power generation, ensuring reliability and sustainability while addressing the world’s growing energy demand. Siemens Gamesa invests in cutting-edge research and development, providing interns with opportunities to work alongside expert engineers and contribute to impactful projects.

Role Overview – AI Intern, Rotor Performance

As an AI Intern – Rotor Performance, you will work with the ROP India team to enhance aerodynamic analysis frameworks and implement AI-based automation tools. The role involves developing scalable solutions, improving engineering workflows, and contributing to technical documentation, all of which are critical for future wind turbine performance research.

Interns will gain hands-on experience in Python, AI/ML techniques, data handling, and version control while collaborating in a real-world R&D environment. This role is ideal for candidates passionate about renewable energy, AI, and engineering innovation.

Key Responsibilities

• Integrate AI-driven automation into aerodynamic performance analysis frameworks
• Develop and improve engineering tools for analysis and validation
• Contribute to clear, structured documentation for internal and future users
• Assist in creating a scalable framework for broader team contributions
• Set up test environments and validation workflows for developed tools
• Collaborate with engineers and researchers to optimize processes and outputs

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Skills & Experience Required

• Current UG/PG/PhD student or recent graduate in Engineering, Science, Mathematics, or related fields
• Strong proficiency in Python; familiarity with MATLAB and LaTeX is a plus
• Experience in data handling, AI/ML techniques, and automation workflows
• Ability to write clean, structured, and maintainable code
• Familiarity with version control tools such as Git
• Strong analytical, problem-solving, and communication skills
• Collaborative approach suited to an R&D environment

Who Can Apply (Eligibility Criteria)

CriteriaDetails
EducationUG/PG/PhD in Engineering, Science, Mathematics, or related fields
ExperienceEarly professional / recent graduates (0-1 year)
Job LocationBangalore, Karnataka, India
Work TypeFull-Time Internship
DurationMinimum 3 months
SkillsPython, AI/ML, data handling, Git, MATLAB/LaTeX (optional)
JoiningImmediate / Flexible based on candidate availability

Expected Stipend 💰 (Market Estimate)

For an AI-focused internship in Bangalore, candidates with 0-1 year of experience can expect a stipend of approximately ₹15,000 – ₹25,000 per month, depending on technical skills, academic performance, and prior experience with AI/ML tools.

This internship provides hands-on exposure to renewable energy projects, AI tool development, and aerodynamic analysis, which is highly valuable for a career in AI and energy research.

Why Join Siemens Gamesa?

• Work on cutting-edge AI-driven automation projects in renewable energy
• Gain practical experience in aerodynamic analysis and rotor performance
• Collaborate with experienced engineers and researchers in an innovative R&D environment
• Learn and apply Python, AI/ML, and automation tools on real-world projects
• Contribute to sustainable energy solutions that impact global electricity generation
• Access to structured learning, technical mentorship, and professional growth opportunities

How to Apply

Interested candidates should emphasize Python proficiency, AI/ML experience, and problem-solving skills in their applications. Apply by clicking the Apply button below, highlighting your academic achievements, projects, and any prior internship or research experience in AI or renewable energy.

Apply early as positions are limited and Siemens Gamesa values prompt, proactive applications.

Disclaimer

All information is collected from official/publicly available sources. No fees are charged, and recruitment is not guaranteed. Candidates should verify details independently, and we disclaim responsibility for losses arising from reliance on this information.

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