At Coders Connect we work with some of the most innovative startups and scaleups across Europe. This opportunity is with one of our most exciting partners an AIdriven company revolutionizing how businesses optimize resources and drive sustainable outcomes. They are a fastgrowing missiondriven deeptech company building advanced forecasting solutions that help drive sustainability efforts and optimize resource use.
We re looking for a Lead Machine Learning Engineer to play a pivotal role working closely with the AI CoFounder and leading a small but talented team of ML Engineers. This is your chance to blend technical leadership with handson model development to help solve impactful realworld challenges using cuttingedge AI.
What you ll be doing:
- Shape the AI/ML strategy alongside the AI CoFounder and leadership team.
- Lead mentor and develop a team of 3 Machine Learning Engineers creating a collaborative and highperformance environment.
- Design and deliver productiongrade machine learning solutions that solve complex business challenges (think forecasting optimization automation and beyond).
- Stay close to the tech and drive model development experimentation deployment and monitoring.
- Collaborate crossfunctionally with Product Engineering and Data teams to bring models into production and deliver measurable business impact.
- Explore and integrate modern AI approaches from classical ML to deep learning techniques.
- Build and scale models
Requirements
Preferred Tech Stack:
You will have input on shaping the company s tech stack. Some preferred tools and technologies include:
- Languages: Python for ML R for data analysis
- ML Libraries: scikitlearn Prophet TensorFlow Keras
- Data Processing/Storage: SQL Spark
- Cloud Platform: Azure
- Version Control: Git
We re looking for someone who:
- Has experience leading or mentoring ML teams (senior team lead tech lead or equivalent roles).
- Has a proven track record of building and deploying machine learning models into production environments.
- Brings a deep understanding of machine learning and statistical methods (classification regression forecasting optimization etc..
- Is equally comfortable coding reviewing technical work and contributing to strategic decisions.
- Loves solving realworld problems and thrives in a fastpaced purposedriven environment.
Benefits
What s in it for you:
- A leadership role in an ambitious company with a clear mission and realworld impact.
- Direct collaboration with founders and the executive team.
- The freedom to shape how AI is applied at scale to sustainability and supply chain challenges.
- Hybrid work setup (Amsterdam HQ remote flexibility).
- Competitive salary & equity options.
Languages: Python for ML, R for data analysis ML Libraries: scikit-learn, Prophet, TensorFlow, Keras Data Processing/Storage: SQL, Spark Cloud Platform: Azure Version Control: Git