Senior Machine Learning Engineer.

Senior Machine Learning Engineer | Hybrid in Berlin | 3-4 stage process | €80-90k per annum

Do you love food, technology, and making a difference?

I am partnered with a growing meal prep company on a mission to revolutionise healthy eating with personalised convenience. They are looking for a passionate Machine Learning Engineer to join our team and develop a cutting-edge AI tool that will take meal prep to the next level.

What you'll do:

• Design, develop, and implement machine learning models to analyse customer data (including demographics, ethnic background, and purchasing preferences)
• Build an AI system that can generate personalised meal prep plans based on individual needs and preferences
• Integrate machine learning models with our mobile app for a seamless user experience
• Continuously monitor and improve model performance through data analysis and optimisation
• Collaborate with data scientists, software engineers, and product managers

You're the perfect fit if you have:

• Master's degree in Computer Science, Statistics, or a related field (or equivalent experience)
• 4 years of experience in machine learning model development and deployment
• Proficiency in Python programming languages (Scikit-learn, TensorFlow, PyTorch)
• Experience with cloud platforms (AWS, Google Cloud Platform)
• Strong understanding of data analysis and visualisation techniques
• Excellent communication and collaboration skills

We offer:

• Be a pioneer in developing a first-of-its-kind AI-powered meal prep tool
• Work in a fast-paced, innovative environment with a passionate team
• Access to our meal prep app to create and enjoy your own personalised plans!
• Competitive salary and benefits package, including annual performance-based bonuses
• Unique company-wide incentives, like attending sporting events to cheer on our partnered athletes!
• Opportunity for professional growth and development

Ready to join the future of healthy eating?

Apply today with your CV and contact number or alternatively reach out to me via LinkedIn!