Design, develop, and deploy machine learning models into production. Work with large-scale datasets to train, validate, and optimize models. Collaborate with data scientists, engineers, and product teams.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
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Job Description
📌 Job Title: Machine Learning Engineer / Machine Learning Specialist
📍 Location: Berlin / Munich / Frankfurt, Germany
💼 Employment Type: Full-time (Hybrid / Remote options available)
🏢 Company: 3ds.gr
🌟 About the Company3ds.gr is an innovative tech company leveraging AI and machine learning to build advanced solutions across Germany and Europe. We are looking for a talented Machine Learning Engineer to design, develop, and deploy ML models that drive business impact.
🚀 Key Responsibilities- Design, develop, and deploy machine learning models into production
- Work with large-scale datasets to train, validate, and optimise models
- Implement solutions in areas such as predictive analytics, NLP, computer vision, or recommendation systems
- Build and maintain ML pipelines and MLOps workflows
- Collaborate with data scientists, engineers, and product teams
- Monitor model performance and continuously improve accuracy
- Ensure scalability, reliability, and efficiency of ML systems
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- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
- 2–5 years of experience in machine learning, AI, or data science roles
- Strong proficiency in Python (TensorFlow, PyTorch, Scikit-learn)
- Experience with model deployment and MLOps tools (Docker, Kubernetes, MLflow)
- Solid understanding of statistics, algorithms, and data structures
- Experience with cloud platforms (AWS, Azure, GCP)
- Familiarity with big data tools (Spark, Hadoop) is a plus
- Strong analytical and problem-solving skills
- Fluent in English; German is a plus
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- Competitive salary aligned with the German AI/ML market
- Flexible working hours and hybrid/remote options
- 25–30 days annual leave
- Health insurance and social security benefits
- Career development and AI upskilling opportunities
- Collaborative and international work environment
- Visa sponsorship / EU Blue Card support if applicable
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