
Advanced AI Innovator
8 hours ago
The AI Innovation Lead will drive the development and implementation of advanced solutions, including Gen AI, across the energy domain. This hands-on leadership role involves managing a team of engineers, collaborating across functions, and delivering innovative products that support ENGIE's carbon-neutral mission.
Main Objectives:
- Lead solution development for the renewable energy sector in India.
- Translate business challenges into AI-driven solutions.
- Manage and mentor a team of engineers.
- Ensure compliance and performance of systems.
- Drive digital transformation through AI innovation.
- Collaborate with HQ teams to replicate and adapt existing solutions for India.
- Engage with startups and learn from the broader ecosystem to integrate cutting-edge innovations.
Key Responsibilities:
Solution Development & Technical Leadership:
- Build models for forecasting, optimization, and predictive maintenance.
- Oversee full product lifecycle.
- Collaborate with data scientists and engineers.
- Integrate emerging technologies.
Team Management & Collaboration:
- Lead performance and career development of engineers.
- Facilitate cross-functional collaboration.
- Conduct internal capability-building sessions.
Strategic Planning & Compliance:
- Align strategy with ENGIE's digital goals.
- Ensure data governance and regulatory compliance.
- Monitor KPIs and report to senior leadership.
Experience & Qualifications:
- Bachelor's/Master's in AI, Data Science, or related field.
- 15+ years in energy domain with implementation experience.
- Experience with AI in renewable energy.
- Proven track record in renewable energy product development.
- Experience managing technical teams.
Skills & Abilities:
- Expertise in AI, Gen AI, ML and analytics.
- Proficiency in Generative AI technologies and frameworks.
- Strong leadership and project management.
- Proficiency in cloud platforms and AI frameworks.
- Excellent communication and stakeholder engagement.
Behavioral Competencies:
- Customer-focused and quality-driven.
- Independent decision-maker in fast-paced settings.
- Adaptable and deadline-oriented.
- R&D and innovative mindset.
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