Machine Learning Engineer
Berlin-based start-up revolutionizing digital processes in the automotive B2B sector across Europe
Description For Machine Learning Engineer
CarOnSale, a dynamic Berlin-based start-up, is revolutionizing digital processes in the automotive B2B sector across Europe. We're seeking a skilled Machine Learning Engineer to drive innovation and make impactful changes in the automotive market.
As a Machine Learning Engineer at CarOnSale, you will:
- Lead end-to-end ML/AI projects, from concept through deployment
- Coordinate with stakeholders, setting realistic expectations for complex ML projects
- Convert data science prototypes into robust, production-ready solutions
- Design operational frameworks for real-time model deployment
- Apply advanced statistical techniques to extract actionable insights
- Establish processes for monitoring model performance and data accuracy
- Continuously train and fine-tune models to optimize performance
- Collaborate with cross-functional teams to understand business needs
- Partner with the product team to integrate models and track outcomes
- Gather user feedback to enhance models and products
- Mentor new team members in data science best practices
- Work closely with scientists, engineers, architects, and analysts
- Take ownership of ML production system architecture
Why join CarOnSale?
- Immediate Impact: Play a key role in disrupting the European automotive market
- Growth & Development: Access comprehensive onboarding, continuous feedback, and personalized coaching
- Tools of Your Choice: Choose between a MacBook or Windows laptop, with all necessary software and hardware
- Unique Culture: Join a passionate team with ambitious goals, enjoying regular team events and a strong company spirit
- Diversity & Inclusion: We value a truly diverse team where everyone feels comfortable and respected
Join us in revolutionizing the automotive industry with cutting-edge machine learning solutions!
Last updated 2 months ago
Responsibilities For Machine Learning Engineer
- Lead end-to-end ML/AI projects, from concept through deployment
- Coordinate with stakeholders, setting realistic expectations and ensuring clear communication for complex ML projects
- Convert data science prototypes into robust, production-ready solutions
- Design an operational framework for real-time model deployment, ensuring scalability and efficiency
- Apply advanced statistical techniques to extract actionable insights from data
- Establish processes and tools for monitoring and assessing model performance and data accuracy, maintaining best ML practices
- Continuously train and fine-tune models to optimize performance
- Collaborate with cross-functional teams to gain a deep understanding of business needs
- Partner with the product team to seamlessly integrate models and track outcomes
- Gather feedback from end-users to enhance models and products over time
- Mentor new team members in data science best practices and coding standards
- Work closely with other scientists, engineers, architects, and analysts to meet project milestones
- Take ownership of ML production system architecture, ensuring robust and scalable design
Benefits For Machine Learning Engineer
- Comprehensive onboarding program
- Continuous feedback
- Personalized coaching
- Choice between MacBook or Windows laptop
- Necessary software and hardware
- Regular team events
- Strong company spirit
- Diverse and inclusive work environment
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