Machine Learning Engineer / Specialist

angel investor Germany
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AI Summary

Seeking a Machine Learning Engineer/Specialist to design, build, and deploy AI systems using Python and ML frameworks. Responsibilities include working with large datasets, implementing MLOps, and integrating models into production. Requires a Bachelor's/Master's degree and 2-5 years of ML experience.

Key Highlights
Develop scalable and production-ready AI systems
Implement and manage MLOps workflows
Integrate ML models into production environments and APIs
Key Responsibilities
Design, build, and deploy machine learning models and pipelines
Work with large-scale structured and unstructured datasets
Collaborate with data scientists, engineers, and product teams
Optimise models for performance, scalability, and efficiency
Implement and manage MLOps workflows (CI/CD, monitoring, retraining)
Integrate ML models into production environments and APIs
Stay up-to-date with the latest AI/ML technologies
Technical Skills Required
Python Java Scala TensorFlow PyTorch Scikit-learn SQL Spark Hadoop Docker Kubernetes MLflow Airflow AWS Azure GCP
Benefits & Perks
Competitive salary aligned with the German AI/ML market (€70K–€100K / Senior €110K–€130K+)
Flexible working hours and hybrid/remote options
25–30 days annual leave
Health insurance and social security benefits
Learning budget, certifications, and conference support
Visa sponsorship / EU Blue Card support if applicable
Nice to Have
German is a plus

Job Description


📌 Job Title: Machine Learning Engineer / Machine Learning Specialist

📍 Location: Berlin / Munich / Frankfurt / Hamburg, Germany

💼 Employment Type: Full-time (Hybrid / Remote options available)

🏢 Company:PRIVATE CAR DRIVER

🌟 About the Company

PRIVATE CAR DRIVER is an innovative, data-driven organisation leveraging Artificial Intelligence and Machine Learning to build cutting-edge solutions across Germany and Europe. We are looking for a talented ML Engineer / Specialist to develop scalable and production-ready AI systems.

🚀 Key Responsibilities
  • Design, build, and deploy machine learning models and pipelines
  • Work with large-scale structured and unstructured datasets
  • Collaborate with data scientists, engineers, and product teams
  • Optimise models for performance, scalability, and efficiency
  • Implement and manage MLOps workflows (CI/CD, monitoring, retraining)
  • Integrate ML models into production environments and APIs
  • Stay up-to-date with the latest AI/ML technologies
🎯 Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field
  • 2–5 years of experience in machine learning / AI roles
  • Strong programming skills in Python (preferred), Java, or Scala
  • Hands-on experience with TensorFlow, PyTorch, Scikit-learn
  • Solid understanding of machine learning algorithms and statistics
  • Experience with SQL and big data tools (Spark, Hadoop)
  • Familiarity with MLOps tools (Docker, Kubernetes, MLflow, Airflow)
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Strong analytical and problem-solving skills
  • Fluent in English; German is a plus
💡 What We Offer
  • Competitive salary aligned with the German AI/ML market (€70K–€100K / Senior €110K–€130K+)
  • Flexible working hours and hybrid/remote options
  • 25–30 days annual leave
  • Health insurance and social security benefits
  • Learning budget, certifications, and conference support
  • Innovative and international work environment
  • Visa sponsorship / EU Blue Card support if applicable


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