Data Science / Deep Learning Engineer

Data Scientist / Deep Learning Engineer

Location: Greece, Thessaloniki

Level: Mid/Senior

Relevant experience: 2+ years (strong academics also welcome)

NET2GRID

NET2GRID is an AI company that empowers energy retailers to become energy transition leaders by unlocking value from Smart Meter data. We provide the most accurate residential energy insights and predictions thanks to our unique know-how in collecting and analyzing Smart Meter data of all granularities. Our clients are some of the largest energy retailers in Europe, including E.ON, EDP, EDF, and ENI. We have offices in the Netherlands, Greece, and the USA.

We were certified with the coveted Great Place to Work recognition in 2022 based on an employee survey in both Greece and the Netherlands. More recently, we were certified as a Best Workplace for Women 2023 from the same survey, and even ranked number 7 in our company size/cohort.

Join our team and be part of a fast-growing, innovative, and collaborative tech company! 

Your role

As a Data Scientist / Deep Learning Engineer, you will be part of the Technology Team and work closely with our Engineering Teams to design, build, and deploy ML models that power NET2GRID’s products.

You won’t just do research—you’ll take algorithms from idea to production, ensuring they deliver value to our clients at scale.

Key responsibilities include:

• Reviewing literature and state-of-the-art research in energy and ML.

• Designing and developing ML and Deep Learning algorithms for production use.

• Training, fine-tuning, evaluating, and optimizing models for performance and scalability.

• Working with time-series data and real-world energy datasets.

• Experimenting with and applying TinyML / edge ML techniques where applicable.

• Identifying problems, proposing solutions, and designing experiments or prototypes to validate ideas.

• Collecting, preprocessing, and analyzing data from experiments, simulations, surveys, or literature reviews.

• Applying statistical techniques and interpreting results to draw meaningful conclusions.

• Preparing technical reports and presentations for technical and non-technical stakeholders.

• Collaborating with product and engineering teams to integrate models into production systems.

• Mentoring and assisting other engineers in ML best practices and state-of-the-art approaches.

Who you are

• University degree in Electrical Engineering, Computer Science, or a related field

• Strong Deep Learning background (e.g., CNNs, RNNs, Transformers)

• Hands-on experience building and training ML models for real-world applications

• Proficient in Python and ML frameworks (PyTorch, TensorFlow, etc.)

• Hands-on experience with data preprocessing, feature engineering, and model evaluation

• Excellent problem-solving skills and an analytical mindset

• Fluent in English

• Military service obligations completed (or exempt)

Other requirements

• Experience with TinyML / on-device ML / edge AI

• Familiarity with MLOps practices (model deployment, monitoring, lifecycle management)

• Exposure to Agile methodologies (Scrum, Kanban, or similar)

• Familiarity with Jupyter Notebooks and prototyping workflows

• Time-series analysis and signal processing expertise

• Git and code review tools

• AWS and Linux-based systems

• Relational & NoSQL databases

• Other programming languages (Java, C)

• Experience with DL model fine-tuning

• Knowledge of Power Systems and Energy Consumption

• Academic research papers publication
  
  

Why work at NET2GRID 

???? Competitive salary aligned with market standards

⚕️ Private health and life insurance

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???? Unlimited access to Udemy

???? Clear career paths & feedback framework

???? Hybrid work model & flexible working schedules

???? Free fruits, snacks, and coffee daily

????️ Private parking slots 

???? International working environment

✈️ Opportunities to travel abroad