GiveYu seeks an experienced Machine Learning Engineer to design, develop, and deploy AI solutions. The role involves working with large datasets, building NLP and computer vision models, and collaborating with cross-functional teams. Strong Python and cloud platform skills are required.
Key Highlights
Key Responsibilities
Technical Skills Required
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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: GiveYu
🌟 About the CompanyGiveYu is an innovative technology company leveraging artificial intelligence and machine learning to build scalable, data-driven solutions across Germany and Europe. We are looking for a skilled Machine Learning Engineer to join our growing team and drive AI initiatives.
🚀 Key Responsibilities- Design, develop, and deploy machine learning models into production
- Work with large datasets for training, validation, and optimisation
- Build solutions in NLP, computer vision, recommendation systems, and predictive analytics
- Develop and maintain data 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)
- Knowledge 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 strong advantage
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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
- International and collaborative work environment
- Visa sponsorship / EU Blue Card support if applicable
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