Key Responsibilities
- Design, develop, and deploy AI models for energy optimization and predictive maintenance
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Optimize algorithms for scalability and real-time processing in energy applications
- Research and implement cutting-edge techniques in AI/ML to enhance system efficiency
- Document and present findings to stakeholders with clear technical insights
- Ensure compliance with industry standards and best practices in AI development
Requirements
- 5+ years of experience in AI/ML model development and deployment
- Proficiency in Python and frameworks like TensorFlow or PyTorch
- Strong background in Deep Learning, NLP, or computer vision
- Experience with cloud platforms (AWS/GCP/Azure) for AI workloads
- Excellent problem-solving skills and ability to work in fast-paced environments