Machine Learning Engineer / Specialist

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AI Summary

Design, develop, and deploy machine learning models and pipelines. Collaborate with data scientists, engineers, and product teams. Stay up-to-date with the latest AI/ML technologies and best practices.

Key Highlights
Design and deploy machine learning models and pipelines
Collaborate with data scientists and engineers
Stay up-to-date with AI/ML technologies
Key Responsibilities
Design, develop, 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
Integrate ML models into production systems and APIs
Technical Skills Required
Python TensorFlow PyTorch Scikit-learn SQL Spark Hadoop Docker Kubernetes MLflow Airflow
Benefits & Perks
Competitive salary
Flexible working hours
Hybrid/remote options
25-30 days annual leave
Health insurance
Social security benefits
Learning budget
Certifications
Conference support
Nice to Have
German

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: UC Gill Tract Community Farm

🌟 About the Company

UC Gill Tract Community Farm] is a cutting-edge technology company leveraging Artificial Intelligence and Machine Learning to deliver innovative, data-driven solutions across Germany and Europe. We are seeking a highly skilled Machine Learning Engineer / Specialist to build and scale intelligent systems.

🚀 Key Responsibilities
  • Design, develop, 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 for ML, monitoring, retraining)
  • Integrate ML models into production systems and APIs
  • Stay up-to-date with the latest AI/ML technologies and best practices
🎯 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, statistics, and data modelling
  • Experience with SQL and big data tools (Spark, Hadoop)
  • Familiarity with Docker, Kubernetes, MLflow, Airflow (MLOps tools)
  • 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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