Senior Machine Learning Engineer (F/M/D)

Company Description

Do you want to contribute to projects changing the meaning of energy consumption in the Baltics and beyond? Ignitis is a part of the Ignitis Group – a renewables-focused integrated utility. Our purpose is to create a 100% green and secure energy ecosystem for current and future generations.  

Ignitis offers advanced energy solutions and services to both private and business clients, enabling effective energy management, consumption, and production. The electric vehicle quick-charge network, Ignitis ON, significantly contributes to sustainable mobility in the Baltics. Simultaneously, the platform eparkai.lt opens the door for everyone to become a green electric power producer. We supply power and natural gas to 1.5 million customers in Lithuania and, through our operations in Latvia, Estonia, Finland, and Poland, we are accelerating the development of green energy throughout the wider Baltic region. 

www.ignitis.lt #ignitislietuva

Job Description

We are currently looking for a new colleague to join the energy trading team, where you’ll be responsible for focusing on forecasting renewable energy production and powering consumption using advanced statistical and machine learning techniques. If that speaks to you, we’d be happy to welcome you to our team! 

Take YOUR part in #EnergySmart!  

You will contribute to green and secure energy ecosystem creation by:

• Building, testing, and continuously improving predictive models to adapt to changing market and weather conditions
• Playing a key role in developing and deploying algorithmic trading strategies for the intraday power markets and being actively involved in trading operations

Qualifications

• University degree (Data Science, Statistics, Computer science, Mathematics, Physics, Econometrics or a closely related field)
• Practical experience with Python, SQL, Git
• Experience in applying data science and machine learning techniques to build forecasting models, performing rigorous statistical testing
• Proactiveness, responsibility, collaboratives and attentiveness to details.
• Eagerness to learn energy market specifics.
• Great communication skills in English (writing and speaking)

 Would be an advantage: 

• Linux, Apache Airflow, building API microservices (Flask, Fast API, etc.) and small scale Python applications
• Practical experience in training neural network models (CNN's or RNN's) for regression tasks using pytorch or Tensorflow

Additional Information

• A package of additional benefits to choose from: pension accumulation, health insurance, or another benefit from the selectable benefits list in the MELP application
• Additional paid days for health improvement, short-term illness, volunteering, and accumulated work experience
• A hybrid work model (3+2) and flexible working hours
  Internal career opportunities
• Extensive learning and qualification enhancement programs
• Mentorship-based culture designed to facilitate meaningful and value-driven work
• Take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations

Join a growing and increasingly international team of energy smart people united by a common purpose. We all play our part in creating a 100% green and secure energy ecosystem for current and future generations.

As we pursue our strategic goals to increase gender balance in Ignitis Group, we are indicating “f/m/d” next to job titles, meaning we welcome candidates of all genders – female, male or diverse.

Ignitis Group is committed to a policy of equal employment opportunity and does not discriminate against race, religion, gender, sexual orientation or gender identity, age, disability or other personal traits unrelated to work obligations.