Job
- Level
- Experienced
- Job Field
- IT, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop highly automated Machine Learning environments and optimize CI/CD processes while supporting Data Scientists and Engineers in implementing innovative AI solutions.
Job Technologies
Your role in the team
- Together with our clients, you will create state-of-the-art and highly automated environments and workflows for machine learning in the enterprise - from conception through implementation to operation.
- In this role, you will evaluate the latest trends and technologies, have a direct impact on our architecture decisions including DevOps/MLOps processes, and drive innovative solutions for data and machine learning management.
- You empower Data Scientists, Data Engineers, and Software Developers to implement exciting AI applications by analyzing, abstracting, automating, and optimizing their processes and toolchains.
- You accompany data and machine learning models throughout their entire lifecycle, including model training, model deployment, model monitoring, and (continuous) retraining.
- You ensure continuous quality and performance improvement and independently manage applications and contacts throughout development, commissioning, and operation.
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Our expectations of you
Education
- You have a degree in STEM and several years of experience in Big Data/Cloud and Machine Learning environments.
Qualifications
- You are proficient in automating and optimizing development, deployment, and operations processes (CI/CD, Configuration Management, Monitoring) on a modern data-centric technology stack (e.g., Kubernetes, Kafka, ELK).
- A high sense of responsibility, teamwork skills, enjoyment in collaborating with colleagues and clients, and willingness to travel characterize you.
- Your communication skills in German at a minimum level of C1 and in English enable you to persuade clients and colleagues and to convey technically complex concepts clearly and understandably.
Experience
- Ideally, you have hands-on experience with Kubernetes/cloud environments in an enterprise setting with typical security requirements (e.g., identity management, network isolation, data security).
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What we offer
- Challenging tasks in the field of artificial intelligence in industry and the public sector at the forefront of technology.
- A modern corporate culture with flat hierarchies, short decision-making paths, and all the prerequisites to achieve great things.
- Excellent opportunities for further training through innovative projects, conference visits & publications, and training sessions.
- A varied and secure workplace with flexible working hours and overtime pay or conversion into vacation.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
NorCom Information Technology GmbH & Co. KGaA
NorCom offers technological solutions for almost all big companies and large public administrations. NorCom helps you work with and exchange large data sets quickly and securely, ensuring compliance with data governance and data lifecycle management regulations.
Description
- Founding Year
- 1989
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
DevOps/Cloud Engineer - Artificial Intelligence
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
