Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Darmstadt
- Working Model
- Onsite
Job Summary
In this role, you will develop AI-driven cloud solutions for predictive maintenance, focusing on implementation, training, and quality assurance within a modern Kubernetes environment.
Job Technologies
Your role in the team
- Self-organized collaboration within an agile SCRUM team.
- Development of AI-powered cloud solutions in the field of Predictive Maintenance.
- Technical implementation, training, and quality assurance.
- Support with technical refinements and architecture decisions.
- Ensuring smooth operation in a modern cloud and Kubernetes environment.
- Design and further development of the operations and deployment infrastructure.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Excellent knowledge of Python and the common technology stack (PyTorch, TensorFlow, scikit, pandas, etc.).
- Overview of the key algorithms and network architectures in classical machine learning (SVM, Random Forest, etc.) as well as in deep learning (MLP, LSTM, ResNet, CNN, Transformer, etc.).
- Solid knowledge of container technologies, CI/CD, and SaaS solutions.
- Strong understanding of DevOps principles.
- Start-up mentality: enthusiasm for change, interest in innovation, and joy in leading a new product to success.
Experience
- Practical experience in parameterizing, training, and testing ML solutions.
- Practical experience with Kubernetes (deployment, scaling, monitoring, troubleshooting).
- Experience in the agile SCRUM process.
This text has been machine translated. Show original
Topics that you deal with on the job
Job Locations
This is your employer
Profi Engineering Systems Ag
PROFI Engineering Systems AG, founded in 1984, is a medium-sized IT service company based in Darmstadt, specializing in digital transformation.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Machine Learning Engineer
- Location
- Darmstadt
- Working Model
- Onsite
- Diversity
- Open for all genders
