Data Scientist/ML Engineer (Virtual Power Plant) Offline

Greetings! 

We are looking for an experienced Data Scientist/ML Engineer to develop solutions for a virtual power plant. This involves using machine learning algorithms to optimize energy usage and resource distribution.
 

Key duties:

• Develop and train machine learning models for time series analysis and forecasting.
• Optimize energy processes using data.
• Integrate ML models into scalable systems.
• Work with cloud services and MLOps tools.
• Collaborate with developers to implement analytical solutions.
   

Requirements:

• 5+ years of Data Scientist/ML Engineer experience.
• Proficiency in Python (NumPy, Pandas, Scikit-learn for data processing).
• Experience with deep learning (TensorFlow/PyTorch).
• Familiarity with time series forecasting (Prophet, ARIMA).
• Hands-on AWS experience (AWS SageMaker, AWS Timestream).
   

We offer:

• Work on innovative projects in a growing industry.
• Opportunities for professional development and training.
• Flexible working hours.
• Competitive salary and bonuses.