Position Details
About this role
Lead the development and deployment of advanced AI and machine learning solutions for energy data analytics, focusing on real-time processing, predictive modeling, and scalable deployment.
Key Responsibilities
- Developing ML models
- Deploying AI solutions
- Collaborating with domain experts
- Optimizing predictive analytics
- Implementing sensor data analytics
Technical Overview
Expertise in ML lifecycle, deep learning, NLP, time series forecasting, cloud platforms (AWS, Azure, GCP), and MLOps for energy sector applications.
Ideal Candidate
The ideal candidate is a senior data scientist with over 6 years of experience in machine learning, deep learning, and AI solution deployment. They have strong programming skills in Python and experience with cloud platforms and MLOps practices, preferably within the energy sector.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 6 years of data science experience, Lack of experience with ML lifecycle, No proficiency in Python or ML libraries
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