Senior Machine Learning Engineer (f/m/div.)

Company Description

At Bosch, we are dedicated to shaping the future through high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our commitment to our associates is unwavering: we grow together, we enjoy our work, and we inspire each other. Join us at Bosch, where the grow platform GmbH eagerly awaits your application!

Job Description

Our corporate start-up, Bosch Software Flow (BSF), is actively seeking support to revolutionize the software release process. Our mission is to digitize this process alongside our customers, utilizing our specifically developed software service Yaku, perfect for highly regulated industries like automotive or finance, enabling automation of software releases. We offer a modern, agile work environment where you can inject your ideas and propel your personal growth. Ready to make an impact? Join #TeamBSF today!

Key Responsibilities:

• Model Development: Develop and deploy machine learning models across various business applications.
• Data Pre-processing: Manage large structured and unstructured datasets for effective information retrieval.
• Model Training and Evaluation: Train using optimal algorithms, assess performance, and enhance for better accuracy and efficiency.
• MLOps: Implement ML models in production, establishing systems to monitor their reliability and performance.
• Data Quality Validation: Create and enforce data quality checks to maintain data integrity and consistency.
• Research and Innovation: Stay abreament of the latest in machine learning and AI, incorporating new methods and tools into the development process.

Qualifications

Prospective candidates should bring a minimum of 5 years of experience in agile software development, with proficiency in languages like Python, R, or Java. Expertise in ML frameworks (TensorFlow, PyTorch), big data technologies (e.g., Hadoop, Spark), and cloud platforms (e.g., AWS, Azure) is crucial. Strong knowledge of ML deployment practices including CI/CD, version control, and containerization (Docker, Kubernetes) is expected. A systematic approach to work, outstanding problem-solving skills, and excellent communication abilities in English are essential. Additional language skills are a plus.

Additional Information

The primary work location is in Ludwigsburg, with options for remote work and flexible part-time models. At Bosch, diversity and inclusion are integral to our corporate culture, and we encourage all qualified individuals to apply, irrespective of gender, age, disability, religion, ethnic origin, or sexual identity. Learn more about Bosch Software Flow and our innovative business models at Bosch Software Flow’s official site and the grow platform’s website.

Application & Contact Information

Interested in the Senior Machine Learning Engineer role? Please reach out to Nelly Ehrmann in Human Resources at +49 711 811 48240 for application support or to Vadim Raskin in the Functional Department at +49 711 811 15965 for more job details.

Become a pivotal part of Bosch Software Flow and help drive future innovations. Apply today and transform the landscape of machine learning applications!