Machine Learning Engineer - AI Solutions (Remote)

About the Role

We are seeking a talented Machine Learning Engineer to join our innovative team at PRIVATE CAR DRIVER. This remote position offers the opportunity to work on cutting-edge AI solutions across Germany and Europe. As a Machine Learning Engineer, you will design, build, and deploy scalable machine learning models and pipelines, collaborating with data scientists and engineers to optimize performance and efficiency.

What You'll Do

• Design, build, and deploy machine learning models and pipelines.
• Work with large-scale structured and unstructured datasets.
• Collaborate with cross-functional teams including data scientists, engineers, and product managers.
• Implement and manage MLOps workflows, including CI/CD, monitoring, and retraining.
• Integrate ML models into production environments and APIs.
• Stay up-to-date with the latest AI/ML technologies and trends.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.
• 2–5 years of experience in machine learning or AI roles.
• Strong programming skills in Python (preferred), Java, or Scala.
• Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.
• Solid understanding of machine learning algorithms and statistics.
• Experience with SQL and big data tools such as Spark and Hadoop.
• Familiarity with MLOps tools like Docker, Kubernetes, MLflow, and Airflow.
• Experience with cloud platforms (AWS, Azure, GCP).
• Strong analytical and problem-solving skills.
• Fluent in English; proficiency in German is a plus.

Nice to Have

• Experience in deploying AI solutions in production environments.
• Knowledge of data visualization tools.
• Familiarity with Agile methodologies.

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 of 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.