Do you want your work to make an impact on energy users around the world?  Come to the team of our clients and help your friends have a more enjoyable experience.

What will you do:  

• Design AI-based solutions that can bring ideas from pilot to commercially viable reality;
• Evaluate different techniques, tools, and approaches to a large variety of machine learning problems;
• Develop algorithms for data preparation, feature extraction, data analytics, and machine learning;  
• Train, validate and test machine learning models in order to achieve best-in-class performance in large scale;  
• Support the design of data models on modern DBMS (SQL and NoSQL) as well as in Hadoop DFS, Hive, and Hbase;
• Write reusable, testable, and scalable code;
• Perform code reviews, test case reviews, and ensure code developed meets the requirements.

The requirements for the role are:  

•  3 to 5 years working experience as a data scientist with profound practical knowledge of the various ML model classes, including neural networks and deep learning;
• Strong background in non-linear optimization, algorithm development, feature extraction, and signal processing; 
• Knowledge of source control management systems (git) and CI/CD flows;
• Experience in implementing machine learning solutions on AWS or Azure is considered a plus;
• Coding in Python, SQL;
• Excellent writing and communication skills, considering varying levels of precision and matching the audience.