Machine Learning Engineer (gn*)
Core
Develop and deploy AI/ML solutions for internal and external projects, transforming ideas into practical applications.
Role type
Machine Learning Engineer
Builds
Scalable ML pipelines, production-ready AI models, and evaluation tools for diverse projects.
Domain
Testing, Inspection, and Certification (TÜV) industry with a focus on technical safety and sustainable solutions.
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Generative AI, Python, PyTorch, FastAPI, Docker, MLOps, Model Monitoring, SQL, NoSQL
Preferred skills
Azure cloud implementation, software development, data engineering
Technologies
Python, Pandas, Numpy, PyTorch, FastAPI, Docker, Microsoft Azure, SQL, NoSQL
Responsibilities
Conceptualize and implement innovative AI solutions with stakeholders; develop data analytic methods; optimize model performance and conduct experiments; deploy models to production environments; develop evaluation metrics and tools; contribute to tech stack evolution.
Seniority
Mid-Senior, hands-on IC
