Machine Learning Engineer
- Published on
About the Role
Coders Connect is partnering with a cutting-edge start-up that is revolutionizing how businesses leverage data for decision-making. The company focuses on building advanced forecasting solutions that help drive sustainability efforts and optimize resource use. They're looking for a Machine Learning Engineer to join their team and be part of creating their first commercial MVP.
Responsibilities
As a Machine Learning Engineer, you will play a critical role in developing data-driven insights and helping shape the company's long-term success. Your responsibilities will include:
- Building the First Product: Collaborate in a cross-functional team to design, optimize, and deploy both the forecasting algorithms and data visuals that will power the company's first MVP.
- Designing a Future-Proof 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 cutting-edge technology that maximizes business impact.
About the Candidate (Expectations and Nice to Have Skills)
- Strong Forecasting Background: Extensive experience in building and deploying forecasting models, with hands-on knowledge of various tools and techniques.
- 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 easy-to-understand insights.
- Team-Oriented with a Product Focus: A clear communicator and collaborative team player with a product-led approach to engineering.
- Start-up Experience: A background in early-stage environments, demonstrating adaptability and the ability to thrive in a fast-paced 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: scikit-learn, Prophet, TensorFlow, Keras
- Data Processing/Storage: SQL, Spark
- Cloud Platform: Azure
- Version Control: Git
Company Culture and Benefits
An initial one-year contract with the possibility of extension, based on the success of the collaboration. A flexible hybrid work environment that promotes work-life balance. Continuous learning opportunities and room for career growth within a fast-evolving 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 real-world impact. Kindly note that VISA Sponsorship is not available for this position.