Machine Learning Engineer, Dexter
2-3 days a week in office
AI-powered renewable energy forecasting
Open for applications
AI-powered renewable energy forecasting
21-100 employees
Open for applications
2-3 days a week in office
21-100 employees
Company mission
To enable a sustainable and affordable power system.
Role
Who you are
- You’re eager to work at a fast-growing, AI-driven scale-up that is pushing the boundaries of renewable energy forecasting and optimization
- You want to be part of a highly skilled team that values collaboration, innovation, and impact
- You’re looking for a flexible, forward-thinking workplace that supports both remote and in-person collaboration
- This is a great opportunity for an ML Software Engineer who wants to work closely with ML products and build mature software packages for our customers
- 4+ years of experience in software development in an ML environment with a strong focus on Python
- Proficiency in designing clean, maintainable, and scalable code
- Hands-on experience with machine learning model life cycle management (MLOps), preferably of time series models
- Strong knowledge of DevOps principles, CI/CD pipelines, and software testing methodologies
- Experience with cloud-based infrastructure (GCP, AWS, or similar) and containerization technologies, as well as git and monitoring
- Excellent communication skills and the ability to work collaboratively in a cross-functional team
- Hyped to learn more about the energy trading domain
- Preferred: experience in the energy sector / renewables, especially if you have experience working on short-term energy trading
What the job involves
- We’re looking for an experienced Machine Learning Engineer / Software Engineer to join our Renewables Optimization - Imbalance Management team
- In this role you will collaborate with data scientists, software developers, and other ML engineers to build scalable, AI-driven products that optimize short-term energy trading
- Your focus will be on ensuring the reliability, scalability, and automation of ML models for our Imbalance Management solution, which predicts real-time imbalance prices to dynamically steer customer assets (solar and wind)
- By optimizing these assets, we help reduce imbalance costs and maximize revenues
- You will design, develop, deploy, and operate ML-powered software products, bringing crucial software engineering expertise to the team
- Your contributions will accelerate R&D cycles, enhance operational stability, and ensure seamless model integration into our infrastructure - enabling Dexter to quickly adapt to market changes and new insights
- Develop, deploy, and maintain machine learning pipelines for real-time and batch forecasting applications
- Ensure seamless automation of ML model retraining and deployment
- Improve the scalability, efficiency, reliability and monitoring of our AI-driven solutions
- Transform experimental ML code into production-ready software packages
- Implement best practices in software engineering, including CI/CD, DevOps, and performance monitoring
- Work with technologies such as Python (ML/Data stack), Google Cloud Platform, Docker, Kubernetes, BiqQuery, DBT and monitoring tools
- Collaborate with the entire team to achieve the best price predictions and optimization of steering of renewables assets across European countries
- Note: this role does not encompass building or designing ML models, feature engineering, model validation, model development, or research
- Join Dexter as a Machine Learning Engineer and be part of a team driving the transition to a cleaner, more sustainable energy future
Our take
Dexter provides highly accurate energy forecasts to renewable energy producers. Its algorithm analyses current and historic weather data to determine how much electricity windmills and solar panels will generate on a given day. This enables energy companies to reduce imbalances on the grid by determining energy loads, helping companies to optimise their renewable electricity production and consumption.
As the energy market continues to shift, large-scale providers must be able to anticipate changing weather and market conditions. Since the company’s AI-powered software enables companies to manage increasing imbalance costs, Dexter has considerable growth potential as it expands its services across Europe and into the UK.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Apr 2023
$11.9m
SERIES B
Mar 2021
$2.3m
SERIES A
Total funding: $14.2m
Company benefits
- Hybrid way of working: Most of us come to the office 2-3 days a week. You can work up to 30 days per year from abroad
- Home office: Laptop, monitor, and extra budget for stuff such as headphones or keyboard
- Travel expenses covered: NS business card or a Swapfiets subscription
- Dog-friendly office: Enjoy the cuddles of your furry friend in our modern and spacious office in Amsterdam
- Lunch together: Free office lunches every day and two special, tasty meals each week, cooked by our chef
- Fun activities: Vrijmibos, team outings, holiday-themed events, and plenty of other activities to enjoy together
Company HQ
Omval, Amsterdam, Netherlands
Leadership
Luuk Veeken
(CEO)Former Business Analyst at Yellow & Blue Investment Management. Former World Healthcare Forum Board Member and Founder of the Sustainable Healthcare Challenge.
Hubert Penn
(Co-Founder, CCO & COO)Former General Manager at WearActive Austria. Previously worked as an Analyst at NPM Capital.
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