Senior Machine Learning Engineer – Shape of Renewable Energy

🚀 Senior Machine Learning Engineer – Shape the Future of Renewable Energy

Join us in powering tomorrow's sustainable world.
EGN POWER is an innovative AI‑driven start‑up revolutionizing asset management for renewable energy power plants. We harness cutting‑edge machine learning to optimize operations, predict failures before they happen, and maximize the efficiency of clean energy infrastructure.

Our workspace? Nestled in the inspiring İTÜ Arı Teknokent – a vibrant tech hub on a university campus surrounded by lush forests, offering the perfect blend of nature and innovation. Enjoy the tranquility of green spaces while staying connected to Istanbul's dynamic city life and cultural attractions.

We're seeking a talented Machine Learning Engineer to join our mission‑driven team. This is your chance to work on real‑world AI applications that directly impact the global transition to renewable energy. You'll build sophisticated time‑series models for anomaly detection and predictive maintenance, ensuring power plants operate at peak performance.

Position Type: Full‑time

Location: Istanbul (Hybrid – flexibility to work from home)

Experience Level: 4‑8 years

• Design & Deploy ML Solutions: Develop, implement, and deploy production‑ready machine learning models that solve complex challenges in renewable energy operations
• Pioneer Innovation: Research and apply state‑of‑the‑art machine learning techniques, particularly in time‑series forecasting, anomaly detection, and predictive maintenance
• Build Scalable Systems: Create containerized applications and design robust SQL/No
  
  SQL databases with full CRUD operations for efficient data handling
• Collaborate & Innovate: Work alongside cross‑functional teams to seamlessly integrate ML solutions into our product ecosystem
• Stay Ahead: Keep your finger on the pulse of AI/ML advancements and bring cutting‑edge techniques to our platform
• Cloud Architecture: Leverage cloud platforms (AWS) to build scalable, reliable ML infrastructure

Essential Qualifications

• Educational Background: Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related field
• Professional
  
  Experience:
  
  4‑8 years in software development with a strong focus on ML/AI applications
• Location: Based in Istanbul
• Technical Excellence: Expert‑level Python programming skills with deep knowledge of ML libraries (scikit‑learn, pandas, Num Py, etc.)
• Proven experience with time‑series forecasting and anomaly detection (bonus points for energy/industrial datasets!)
• Strong understanding of system design and software architecture
• Hands‑on experience with Docker, FastAPI, and containerization
• Practical experience building and deploying solutions on AWS
• Solid grasp of pattern recognition, neural networks, and computer science fundamentals
• Proficiency in database design (SQL/No
  
  SQL)
• Language: Proficient in English
• Mindset: Excellent problem‑solving abilities, analytical thinking, and the ability to thrive both independently and in collaborative environments

• Passion for renewable energy and sustainability
• Experience with MLOps and model deployment pipelines
• Published research or conference presentations in ML/AI

We believe in assessing real‑world skills. Shortlisted candidates will receive a technical challenge that mirrors actual problems you'd solve in this role.

• A thoughtfully designed task reflecting real scenarios in renewable energy ML
• 3‑5 days to complete and submit your solution
  
  Evaluation based on correctness, efficiency, code quality, and problem‑solving approach
• This is a required step before the final interview – we're excited to see your skills in action!

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Mission‑Driven Work: Contribute directly to the renewable energy revolution

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Cutting‑Edge Tech: Work with the latest AI/ML technologies and methodologies

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Inspiring Environment: Campus location surrounded by nature, yet close to Istanbul's urban energy

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Work‑Life Balance: Hybrid model offering flexibility and autonomy

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Growth Opportunity: Ground‑floor opportunity at a fast‑growing start‑up where your impact is immediate and visible

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Collaborative Culture: Join a passionate team that values innovation, learning, and knowledge sharing

If you're passionate about applying machine learning to solve real‑world challenges in renewable energy, we'd love to hear from you. Join us in building intelligent systems that power a sustainable future.

• Apply now and be part of the clean energy revolution!

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