Machine Learning Engineer (gn*)
Core
Developing and implementing AI/ML solutions, from concept to production, for internal and external projects to enhance technical safety and flexible solutions.
Role type
Machine Learning Engineer
Builds
Scalable and reusable ML pipelines, production ML models, and evaluation tools for model performance.
Domain
Testing, Inspection, and Certification (TÜV AUSTRIA)
Deliverable
production ML models
Required skills
Python, PyTorch, FastAPI, Docker, SQL, NoSQL, MLOps, Model Monitoring, Microsoft Azure, classical Machine Learning, Deep Learning, Generative AI
Preferred skills
Experience with off-the-shelf solutions vs. custom model development, structured problem-solving, initiative
Technologies
Python, Pandas, Numpy, PyTorch, FastAPI, Docker, Microsoft Azure, SQL, NoSQL
Responsibilities
Conceptualize and implement innovative AI solutions with stakeholders; develop data analytic methods and procedures; optimize model performance and conduct experiments; deploy models in production environments; develop evaluation metrics and tools for model performance assessment; contribute to tech stack evolution and team technology direction.
Seniority
Mid-Senior, hands-on IC