SENIOR MACHINE LEARNING ENGINEER (F/M/D)
SENIOR MACHINE LEARNING ENGINEER (F/M/D)
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Job Description
We are currently looking for a new colleague to join the energy trading team where youll be responsible for focusing on forecasting renewable energy production and powering consumption using advanced statistical and machine learning techniques. If that speaks to you wed 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 (CNNs or RNNs) 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 (32) 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.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
