Machine Learning Scientist (m/f/d) 100%

We are seeking an innovative Machine Learning Scientist to join our client ´s team. As a Machine Learning Scientist, you will be at the forefront of research and development, leveraging cutting-edge techniques to solve complex problems and drive data-driven innovation. If you have a strong background in machine learning, a passion for pushing the boundaries of AI, and a desire to make a significant impact, this is an exciting opportunity.

Responsibilities:

• Conduct research and development in machine learning algorithms, techniques, and methodologies
• Design and implement advanced machine learning models to solve complex business problems
• Explore and experiment with new approaches, algorithms, and architectures to improve model performance and accuracy
• Preprocess and analyze large volumes of data, ensuring data quality and suitability for machine learning tasks
• Collaborate with cross-functional teams to identify business challenges and opportunities where machine learning can provide valuable insights
• Work closely with data engineers and software engineers to implement and deploy machine learning models into production systems
• Conduct experiments, A/B tests, and validation to evaluate model performance and identify areas for improvement
• Stay up-to-date with the latest advancements in machine learning, attending conferences and engaging in continuous learning
• Document research findings, methodologies, and best practices, and contribute to technical papers and publications

Qualifications:

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on machine learning or artificial intelligence
• Proven experience as a Machine Learning Scientist or in a similar role, with a strong track record of developing and implementing machine learning models
• Strong knowledge of machine learning algorithms, statistical modeling, and deep learning techniques
• Proficiency in programming languages such as Python or R, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
• Experience with big data technologies such as Hadoop, Spark, or similar frameworks for processing and analyzing large-scale datasets
• Strong mathematical and analytical skills, with the ability to solve complex problems and develop novel approaches
• Strong publication record in top-tier conferences or journals in the field of machine learning
• Excellent communication and collaboration skills to work effectively with cross-functional teams
• Ability to stay updated with the latest research advancements and apply them to practical problems
• German B2 / English B2 level