Senior Machine Learning Engineer - Remote

Overview

As a Senior Machine Learning Engineer at Ignitis, you will focus on forecasting renewable energy production and consumption using advanced statistical and machine learning techniques, contributing to a green and secure energy ecosystem.

In Short

• Join the energy trading team at Ignitis.
• Build and improve predictive models for energy forecasting.
• Develop algorithmic trading strategies for intraday power markets.
• Utilize Python, SQL, and Git in your daily tasks.
• Engage in trading operations and market analysis.
• Collaborate in a proactive and detail-oriented environment.
• Communicate effectively in English.
• Opportunity for continuous learning and career growth.
• Work in a hybrid model with flexible hours.
• Participate in the energy transformation towards sustainability.

Requirements

• University degree in a relevant field (Data Science, Statistics, etc.).
• Practical experience with machine learning and forecasting models.
• Experience in statistical testing and data analysis.
• Proactive, responsible, and detail-oriented mindset.
• Eagerness to learn about energy markets.
• Excellent communication skills in English.
• Experience with Linux and API microservices is a plus.
• Familiarity with neural networks using PyTorch or TensorFlow is advantageous.

Benefits

• Flexible benefits package including health insurance and pension options.
• Additional paid days for health, volunteering, and personal development.
• Hybrid work model (3+2) and flexible working hours.
• Extensive learning and qualification enhancement programs.
• Mentorship-based culture for meaningful work.
• Contribute to a sustainable energy ecosystem.