KI group GmbH
MLOps Engineer – Azure & AI/ML Platforms(m/w/x)
Full-timeWith HomeofficeExperienced
Köln, München
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OMOMMAX
(Senior) MLOps Engineer(m/w/x)
München
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Deploying production-grade ML systems and infrastructure on cloud platforms. 3-6 years MLOps experience with Python and ML frameworks required. Participation in sales success, exclusive investment opportunities.
Requirements
- Degree in Computer Science, Software Engineering, Data Science, or related field
- 3–6 years of experience in MLOps, DevOps, or machine learning engineering
- Hands-on experience operationalising machine learning models using TensorFlow, PyTorch, or Scikit-learn
- Strong programming skills in Python and solid understanding of software engineering best practices
- Experience with cloud platforms and infrastructure (AWS, Azure, GCP)
- Familiarity with containerisation and orchestration tools (Docker, Kubernetes)
- Fluent in English; additional local language skills are a plus
Tasks
- Build and deploy production-grade ML systems
- Build and deploy ML tools
- Build and deploy ML infrastructure
- Design scalable pipelines for model deployment
- Implement scalable pipelines for model deployment
- Design scalable pipelines for model monitoring
- Implement scalable pipelines for model monitoring
- Design scalable pipelines for model lifecycle management
- Implement scalable pipelines for model lifecycle management
- Collaborate with data scientists
- Collaborate with AI engineers
- Collaborate with software engineers
- Ensure reliability of ML systems
- Ensure scalability of ML systems
- Ensure performance of ML systems
- Contribute reusable solutions
- Contribute reusable standards
- Act as a technical advisor
- Support stakeholders in translating ML concepts
- Support stakeholders in creating practical solutions
Work Experience
- 3 - 6 years
Education
- Bachelor's degree
Languages
- English – Fluent
- local – Basic
Tools & Technologies
- MLOps
- DevOps
- machine learning
- TensorFlow
- PyTorch
- Scikit-learn
- Python
- AWS
- Azure
- GCP
- Docker
- Kubernetes
Benefits
Bonuses & Incentives
- Participation in sales success
Corporate Discounts
- Exclusive investment opportunities
Learning & Development
- 'Digital Leaders of Tomorrow' program
- Development opportunities
Flexible Working
- Flexible and hybrid working model
Team Events
- Team events
Healthcare & Fitness
- Joint sports sessions
- Fitness and wellness partnerships
Retirement Plans
- Company pension scheme
Additional Allowances
- Mobility allowances
- Meal allowances
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of OMMAX and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- VESTIGAS
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Senior MLOps Engineer(m/w/x)
Full-timeWith HomeofficeSeniorFrankfurt am Main, München, Berlin, Essen - Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin
OMOMMAX
(Senior) MLOps Engineer(m/w/x)
München
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Deploying production-grade ML systems and infrastructure on cloud platforms. 3-6 years MLOps experience with Python and ML frameworks required. Participation in sales success, exclusive investment opportunities.
Requirements
- Degree in Computer Science, Software Engineering, Data Science, or related field
- 3–6 years of experience in MLOps, DevOps, or machine learning engineering
- Hands-on experience operationalising machine learning models using TensorFlow, PyTorch, or Scikit-learn
- Strong programming skills in Python and solid understanding of software engineering best practices
- Experience with cloud platforms and infrastructure (AWS, Azure, GCP)
- Familiarity with containerisation and orchestration tools (Docker, Kubernetes)
- Fluent in English; additional local language skills are a plus
Tasks
- Build and deploy production-grade ML systems
- Build and deploy ML tools
- Build and deploy ML infrastructure
- Design scalable pipelines for model deployment
- Implement scalable pipelines for model deployment
- Design scalable pipelines for model monitoring
- Implement scalable pipelines for model monitoring
- Design scalable pipelines for model lifecycle management
- Implement scalable pipelines for model lifecycle management
- Collaborate with data scientists
- Collaborate with AI engineers
- Collaborate with software engineers
- Ensure reliability of ML systems
- Ensure scalability of ML systems
- Ensure performance of ML systems
- Contribute reusable solutions
- Contribute reusable standards
- Act as a technical advisor
- Support stakeholders in translating ML concepts
- Support stakeholders in creating practical solutions
Work Experience
- 3 - 6 years
Education
- Bachelor's degree
Languages
- English – Fluent
- local – Basic
Tools & Technologies
- MLOps
- DevOps
- machine learning
- TensorFlow
- PyTorch
- Scikit-learn
- Python
- AWS
- Azure
- GCP
- Docker
- Kubernetes
Benefits
Bonuses & Incentives
- Participation in sales success
Corporate Discounts
- Exclusive investment opportunities
Learning & Development
- 'Digital Leaders of Tomorrow' program
- Development opportunities
Flexible Working
- Flexible and hybrid working model
Team Events
- Team events
Healthcare & Fitness
- Joint sports sessions
- Fitness and wellness partnerships
Retirement Plans
- Company pension scheme
Additional Allowances
- Mobility allowances
- Meal allowances
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of OMMAX and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
OMMAX
Industry
IT
Description
OMMAX ist ein digitales Strategieberatungsunternehmen, das sich auf nachhaltige digitale Wertschöpfung spezialisiert hat.
Not a perfect match?
- KI group GmbH
MLOps Engineer – Azure & AI/ML Platforms(m/w/x)
Full-timeWith HomeofficeExperiencedKöln, München - VESTIGAS
(Senior) AI Engineer / MLOps Engineer(m/w/x)
Full-timeWith HomeofficeSeniorMünchen - Alexander Thamm GmbH
Senior MLOps Engineer(m/w/x)
Full-timeWith HomeofficeSeniorFrankfurt am Main, München, Berlin, Essen - Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin