Senior Software Engineer for Machine Learning
vor 4 Wochen
We are seeking a highly skilled Senior Software Engineer for Machine Learning to join our team at Aignostics GmbH. As a key member of our engineering team, you will play a crucial role in developing and maintaining our machine learning software stack, enabling our teams to build medical-grade quality and scalable machine learning models.
Key Responsibilities- Design, develop, deploy, and maintain robust ML pipelines to make them usable, efficient, and scalable.
- Optimize and fine-tune data pipelines for production.
- Engage in code reviews, upholding high standards for clean, reliable code.
- Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
- Embrace learning new technologies, fostering innovation, and tackling diverse challenges.
- Contribute to the development of our ML infrastructure, pipelines, services, monitoring systems, and codebase in general.
- Work in an agile development environment and clearly communicate your results to the team.
- Mentor and guide junior engineers, providing technical leadership and insights.
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus.
- 4+ years of work experience in software development, machine learning, or a related field.
- Advanced programming skills in Python, with experience with other languages (e.g. C/C++, CUDA, Java, Rust) being a plus.
- Good understanding of distributed systems and frameworks, parallel computing, and scalability.
- Experience with cloud platforms (GCP, AWS, or Azure), familiarity with MLOps/DevOps best practices (incl. CI/CD, Docker, Kubernetes, and observability).
- Dedicated to high coding standards and knowledgeable about best practices in development workflow.
- Experience with Linux, version control, and container technologies.
- Data engineering skills, experience with working with large datasets.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience with deploying models into production.
- Experience with Google Kubernetes Engine, Ray distributed computing framework, and Prefect.
- Hands-on experience with machine learning and data science. Proven experience with ML frameworks, such as TensorFlow, PyTorch, or scikit-learn.
- Experience with working on biomedical data (especially working with image data).
- Experience with software development in regulated environments, specifically considering Information Security criteria under ISO 27001.
- Join a purpose-driven startup: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference.
- Cutting-edge AI research and development, with involvement of Charité, TU Berlin, and our other partners.
- Work with a welcoming, diverse, and highly international team of colleagues.
- Opportunity to take responsibility and grow your role within the startup.
- Expand your skills by benefitting from our Learning & Development yearly budget of 1,000€ (plus 2 L&D days), language classes, and internal development programs.
- Mentoring program, you'll learn from great experts.
- Flexible working hours and teleworking policy.
- Enjoy your well-deserved time off within our 28 paid vacation days per year.
- We are family & pet friendly and support flexible parental leave options.
- Pick a subsidized membership of your choice among public transport, sports, and well-being.
- Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment.
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