Senior Machine Learning Engineer - Remote

Overview

Join Ignitis as a Senior Machine Learning Engineer and contribute to innovative projects aimed at transforming energy consumption in the Baltics and beyond.

In Short

• Build and maintain forecasting models for energy generation and consumption.
• Develop and deploy algorithmic trading strategies for intraday power markets.
• Utilize advanced statistical and machine-learning techniques.
• Collaborate with the Energy Trading team.
• Work in a hybrid model with flexible hours.
• Engage in continuous learning and qualification enhancement programs.
• Participate in a mentorship-based culture.
• Contribute to creating a 100% green and secure energy ecosystem.
• Work in an international team with a common purpose.
• Embrace opportunities for internal career growth.

Requirements

• University degree in Data Science, Statistics, Computer Science, Mathematics, Physics or related field.
• Experience with Python, SQL, and Git.
• Experience training neural network models using Pytorch or Tensorflow.
• Ability to apply data science and machine learning techniques for forecasting.
• Proactive, responsible, and detail-oriented.
• Strong communication skills in English.
• Eagerness to learn about energy market specifics.
• Experience with Linux and API microservices is a plus.

Benefits

• Flexible benefits package including health insurance and pension accumulation.
• Additional paid days for health improvement and volunteering.
• Hybrid work model (3+2) with flexible working hours.
• Extensive learning and qualification enhancement programs.
• Mentorship-based culture for meaningful work.
• Opportunity to contribute to a green energy transformation.