Develop and deploy scalable machine learning models, collaborate with data scientists and engineers, and stay updated with the latest advancements in AI/ML technologies.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
📌 Job Title: Machine Learning Engineer / Machine Learning Specialist
📍 Location: Berlin / Munich / Frankfurt / Hamburg / Stuttgart, Germany
💼 Employment Type: Full-time (Hybrid / Remote options available)
🏢 Company:Booking With Brooke
🌟 About the Company
Booking With Brooke is an innovative tech-driven organisation leveraging data and AI to build intelligent solutions across Germany and Europe. We are seeking a Machine Learning Engineer / Specialist to develop and deploy scalable ML models.
- 🚀 Key ResponsibilitiesDesign, build, and deploy machine learning models and algorithms
- Work with large datasets for data preprocessing, feature engineering, and modeling
- Collaborate with data scientists, engineers, and product teams
- Develop and maintain ML pipelines and production systems
- Evaluate model performance and optimise accuracy
- Implement MLOps practices (CI/CD for ML, monitoring, versioning)
- Stay updated with the latest advancements in AI/ML technologies
- 🎯 RequirementsBachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field
- 2–5 years of experience in machine learning or AI roles
- Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
- Experience with data processing and big data tools (Spark, Hadoop)
- Knowledge of model deployment (Docker, Kubernetes, APIs)
- Understanding of statistics, algorithms, and data structures
- Experience with cloud platforms (AWS, Azure, GCP) is a plus
- Fluent in English; German is a plus
- 💡 What We OfferCompetitive salary aligned with the German AI market (€75K–€110K / Senior €120K+)
- Flexible working hours and remote/hybrid options
- 25–30 days annual leave
- Health insurance and social security benefits
- Access to cutting-edge AI projects and tools
- Learning budget and conference opportunities
- International and innovative work environment
- Visa sponsorship / EU Blue Card support if applicable
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