Machine Learning Engineer - Remote Position

About the Role

We are hiring a Machine Learning Engineer to join our innovative team at Wysbryx. This remote position offers the opportunity to work with cutting-edge AI technologies and contribute to impactful projects across Germany and Europe.

What You'll Do

• Design, 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 to develop and maintain ML pipelines and production systems.
• Evaluate model performance and optimize accuracy using advanced techniques.
• Implement MLOps practices, including CI/CD for ML, monitoring, and versioning.
• Stay updated with the latest advancements in AI and ML technologies.

Requirements

• Bachelor’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, including libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
• Experience with data processing and big data tools like Spark and Hadoop.
• Knowledge of model deployment using Docker, Kubernetes, and APIs.
• Understanding of statistics, algorithms, and data structures.
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Fluent in English; proficiency in German is a plus.

Nice to Have

• Experience with advanced machine learning techniques.
• Familiarity with data visualization tools.
• Knowledge of additional programming languages.

What We Offer

• Competitive salary aligned with the German AI market (€75K–€110K; Senior roles starting at €120K+).
• Flexible working hours and remote/hybrid options.
• 25–30 days of annual leave.
• Health insurance and social security benefits.
• Access to cutting-edge AI projects and tools.
• Learning budget and opportunities to attend conferences.
• International and innovative work environment.
• Visa sponsorship and EU Blue Card support if applicable.