AI Platform Architect
Posted Apr 17, 2026
Key Responsibilities:
- Design and develop scalable AI platforms for renewable energy operations
- Collaborate with cross-functional teams to define technical requirements and AI-driven solutions
- Oversee the deployment and integration of AI models into existing systems
- Ensure the security, scalability, and reliability of AI platforms
- Monitor and optimize AI systems for performance and efficiency
- Provide technical guidance and mentorship to team members in analytics
- Stay updated with the latest advancements in AI and renewable energy technologies
- Develop documentation and best practices for AI platform usage and maintenance
Qualifications Required:
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Strong educational background in computer science, data science, or a related field
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Proven expertise in AI, machine learning, and platform architecture
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Experience with analytics tools and frameworks relevant to the energy and natural resources sector
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Proficiency in programming languages such as Python, R, or Java
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Familiarity with cloud platforms and distributed computing systems
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Strong problem-solving and analytical skills
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Ability to work effectively in a collaborative, team-oriented environment If you are passionate about leveraging AI for renewable energy and are based in Pune, this is a great opportunity to advance your career. Apply now to join a forward-thinking team! Role Overview: You will be responsible for designing and developing scalable AI platforms to support renewable energy operations. This will involve collaborating with cross-functional teams to define technical requirements and AI-driven solutions, overseeing the deployment and integration of AI models into existing systems, and ensuring the security, scalability, and reliability of AI platforms. Additionally, you will monitor and optimize AI systems for performance and efficiency, provide technical guidance and mentorship to team members in analytics, stay updated with the latest advancements in AI and renewable energy technologies, and develop documentation and best practices for AI platform usage and maintenance. Key Responsibilities: