Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich, Stuttgart, Brunswick
- Working Model
- Hybrid, Onsite
Job Technologies
Your role in the team
- Assumption of overall responsibility for productive model training, deployment and monitoring in the context of AI solutions
- You are responsible for the conception and implementation of productive environments for AI solutions in the automotive sector
- The efficient inference of ML models in industry-specific industrial applications is your primary responsibility
- You provide crucial support in making our customers' AI MVPs go live
- Ensuring close and productive collaboration with specialist teams, data scientists and customers to ensure a seamless project flow
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Our expectations of you
Education
- Successful completion of a degree in computer science, physics or mathematics, preferably with a focus on AI/ML, combined with several years of experience in MLOps projects
Qualifications
- In-depth expertise in the design and development of pipelines, especially for model evaluation and deployment, as well as familiarity with AI lifecycle toolsets such as MLFlow and Azure ML
- Strong knowledge of log analytics using tools such as ELK or Splunk, as well as expertise in technology areas such as microservices and batch processing. Expertise in technologies such as Bash, YML and Python is provided
- Secure communication in German and English
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Benefits
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Job Locations
This is your employer
Msg Group
The msg Group is an international company with over 8,000 employees that offers its customers a comprehensive range of services. This includes not only innovative strategic consulting, but also intelligent IT solutions that create sustainable value. The msg group is active in the following industries: Automotive industry, financial services, food industry, insurance industry and telecommunications as well as the energy industry.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication