Coders Connect is partnering with a cuttingedge startup that is revolutionizing how businesses leverage data for decisionmaking. The company focuses on building advanced forecasting solutions that help drive sustainability efforts and optimize resource use. Theyre looking for a Machine Learning Engineer to join their team and be part of creating their first commercial MVP.
What youll do:
As a Machine Learning Engineer you will play a critical role in developing datadriven insights and helping shape the companys longterm success. Your responsibilities will include:
- Building the First Product: Collaborate in a crossfunctional team to design optimize and deploy both the forecasting algorithms and data visuals that will power the companys first MVP.
- Designing a FutureProof Infrastructure: Implement explainable ML and AI solutions develop systems for monitoring model and data drift and create processes that will allow the rapid production of new models.
- Ensuring Platform Performance: Develop product analytics to monitor performance and inform product development decisions.
- Staying Ahead with Technology: Keep up with the latest industry trends to ensure the use of cuttingedge technology that maximizes business impact.
Requirements
- Strong Forecasting Background: Extensive experience in building and deploying forecasting models with handson knowledge of various tools and techniques. 5 years)
- Advanced ML Skills: Proficient in deploying machine learning pipelines and creating explainable AI solutions while staying in tune with business needs.
- Data Visualization Expertise: Skilled at translating complex datasets and time series into easytounderstand insights.
- TeamOriented with a Product Focus: A clear communicator and collaborative team player with a productled approach to engineering.
- Startup Experience: A background in earlystage environments demonstrating adaptability and the ability to thrive in a fastpaced setting.
- Relocation Flexibility: Must be an EU citizen and available to relocate to the Netherlands.
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
Benefits
An initial oneyear contract with the possibility of extension based on the success of the collaboration.
A flexible hybrid work environment that promotes worklife balance.
Continuous learning opportunities and room for career growth within a fastevolving company.
The chance to work with an international team of talented professionals across tech and product.
A meaningful opportunity to contribute to sustainability efforts and make a realworld impact.
Kindly note that VISA Sponsorship is not available for this position.
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