Join Aignostics as a Software Engineer for Machine Learning
Aignostics is at the forefront of AI-powered precision diagnostics, focusing on revolutionizing how cancer and other complex diseases are diagnosed and treated. As a Software Engineer for Machine Learning, you will collaborate with academia and industry partners to advance machine learning applications in digital pathology.
Key Responsibilities
- Develop and Maintain ML Pipelines: Implement, improve, and maintain machine learning pipelines to ensure they are efficient, scalable, and user-friendly.
- Code Quality: Engage in code reviews to uphold high standards for clean and reliable code.
- Innovation and Learning: Embrace new technologies, foster innovation, and tackle diverse challenges in an agile development environment.
- Communication: Clearly communicate results and progress to the team.
What We Are Looking For
- Educational Background: Degree in Computer Science or a related engineering field.
- Experience: 2+ years in software development with advanced skills in Python and data technologies.
- Technical Skills: Experience with Linux, version control, and container technologies.
- Soft Skills: A driven self-starter, well-organized, and a strong team player.
Nice to Have
- Understanding of distributed systems, parallel computing, and system scalability.
- Experience with MLOps/DevOps, cloud technologies (Kubernetes), and orchestration.
- Exposure to biomedical data and software development in regulated environments, specifically under ISO 27001.
Our Offer
- Purpose-Driven Work: Join a startup dedicated to fighting cancer and improving patient outcomes.
- Cutting-Edge Research: Engage in AI research and development with partners like Charité and TU Berlin.
- Diverse Team: Work with a welcoming, diverse, and international team.
- Growth Opportunities: Take responsibility and grow your role within the startup.
- Development Programs: Benefit from our Learning & Development budget, language classes, and internal programs.
- Flexible Work Environment: Enjoy flexible working hours and teleworking options.
- Comprehensive Benefits: 28 paid vacation days, family & pet-friendly policies, and more.
Join us at Aignostics to make a significant impact in the field of precision diagnostics and help us push the boundaries of what's possible with AI in healthcare.
Benefits Extracted with AI
- 28 paid vacation days per year
- Flexible working hours
- Teleworking policy
- Learning & Development budget
- Language classes
- Internal development programs
- Mentoring program
- Family & pet friendly
- Flexible parental leave options
- Subsidized membership for public transport, sports, and well-being
- Social gatherings, lunches, and off-site events
Similar jobs
Last update: 23 minutes ago
Principal Engineer
Principal Engineer role in Berlin, focusing on software implementation, cloud technologies, and machine learning.
Backend Software Engineer (Python, Cloud, Kubernetes)
Join Aignostics as a Backend Software Engineer to develop infrastructure for AI-powered diagnostics.
Senior Backend Software Engineer
Senior Backend Software Engineer needed in Berlin to develop AI-powered software for cancer research and diagnostics. Join our innovative team!
Senior C++ Computer Vision Engineer
Join a cutting-edge AI-DeepTech startup in Berlin as a Senior C++ Computer Vision Engineer. Work on world-class on-device AI technology.
MLOps Engineer
Join Pruna AI as an MLOps Engineer to optimize machine learning infrastructure and enhance AI operations remotely.
Software Engineer - Machine Learning
Join OUTFITTERY as a Software Engineer in Machine Learning, focusing on AI solutions for fashion. Remote work and flexible hours offered.
Machine Learning Engineer (NLP)
Join Intapp as a Machine Learning Engineer (NLP) in Berlin. Work on AI/ML solutions, leveraging NLP technologies. Competitive salary and benefits.
Senior Backend Developer Python, AI-Based Cancer Diagnostics
Join Mindpeak as a Senior Backend Developer in Python to revolutionize AI-based cancer diagnostics.
Software Engineer - MLOps
Join Dataiku as a Software Engineer in Berlin, focusing on MLOps features and capabilities. Enhance ML model automation and interfaces.
AI Research Engineer
Join Helsing as an AI Research Engineer in Munich, focusing on AI and ML in defence technology.
Staff Software Engineer
Join Aiven as a Staff Software Engineer to develop cloud operations platforms using open-source technologies. Hybrid work in Berlin.
FullStack Software Developer
Join SPREAD AI as a FullStack Software Developer to innovate in data management and engineering intelligence.
Backend Engineer with Machine Learning Focus
Join Accrete AI as a Backend Engineer with a focus on machine learning, building scalable AI solutions.
Senior Data Engineer
Join Stability AI as a Senior Data Engineer to build scalable data infrastructure for AI models. Remote work from Germany.
Remote Software Engineer - Machine Learning and Cloud Infrastructure
Join Helm.ai as a Remote Software Engineer to develop ML tools, build cloud infrastructure, and work on AI technology.
Head of Machine Learning Platform & Developer Productivity
Lead Zalando's ML Platform & Developer Productivity, enhancing tools and processes for 2000 engineers. Requires 8+ years in ML or software engineering.
Lead Software Engineer - Machine Learning
Lead Software Engineer role focusing on Machine Learning, AI interfaces, and complex systems in New York.
Machine Learning Engineer
Join OfferFit as a Machine Learning Engineer to design and scale AI platforms. Work remotely with a focus on Python, MLOps, and data science.
Software Engineer (AI/ML)
Join KLA as a Software Engineer (AI/ML) in Austin, TX. Develop AI/ML solutions for semiconductor manufacturing.
AI Engineer - BCG X, Berlin
Join BCG X as an AI Engineer in Berlin, focusing on AI, data science, and software development to tackle global challenges.
Senior Machine Learning Engineer
Senior Machine Learning Engineer role in Milan, Italy. In-depth experience with AI, ML, Python, AWS, and MLOps required.
Machine Learning Engineer
Join Sentry as a Machine Learning Engineer to develop AI models and algorithms for smarter software solutions.
Software Engineer - Autonomous Driving
Join Applied Intuition as a Software Engineer in Munich to tackle autonomous driving challenges with top ADAS/AV programs.
Senior Machine Learning Engineer
Senior Machine Learning Engineer role focusing on AI, ML model deployment, and cloud solutions in Berlin.