Job
- Level
- Experienced
- Job Field
- IT, Software, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Munich, Mönchengladbach
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
You will develop and integrate LLMs and machine learning services into our cloud platform. Your tasks include building MLOps pipelines, API microservices, and ensuring performance and scalability of AI functionalities.
Job Technologies
Your role in the team
- Development and further enhancement of our AI/ML layer within the cloud platform.
- Integration of LLMs and Machine Learning services into our business applications.
- Development of APIs and microservices for AI functionalities.
- Development and operation of MLOps pipelines for training, deployment, and monitoring of models.
- Implementation of RAG architectures, embeddings, and vector search.
- Integration of external AI services and models.
- Ensuring scalability, performance, and security of the AI services.
- Collaboration with Software, Platform, and Data Teams.
- Evaluation of new AI technologies, frameworks, and tools.
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Our expectations of you
Education
- Degree in Computer Science, Software Engineering, Data Science, or a comparable qualification.
Qualifications
- Excellent knowledge of Python.
- Knowledge of CI/CD and Infrastructure as Code.
- Analytical working style and interest in modern AI technologies.
Experience
- Several years of experience in software development or platform development.
- Experience with APIs, Microservices, and Cloud Architectures.
- Experience with Machine Learning or Large Language Models.
- Experience with container technologies (Docker) and Kubernetes.
- Experience with LLM frameworks (e.g., LangChain, LlamaIndex).
- Experience with Vector Databases (e.g., Pinecone, Weaviate, pgvector).
- Experience with cloud platforms (AWS, Azure, or GCP).
- Experience with MLOps tools and model serving.
- Experience with AI-based automation of business processes.
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What we offer
- An exciting and broad range of responsibilities within flat hierarchies in a fast-growing environment with numerous opportunities for development and shaping.
- Comprehensive onboarding based on a training plan supported by experienced employees.
- An open corporate communication characterized by a casual 'Du' culture.
- 30 days of annual leave, flexible working hours with the option for remote work, discounts through Corporate Benefits, subsidies for sports activities via Urban Sports Club, as well as the possibility of a JobRad and much more.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Gus Group
The GUS Group develops, implements, and operates software that comprehensively maps and efficiently controls all business processes. Our product portfolio covers the entire value creation process and supply chain.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.2
Career Growth
3.0Culture
3.5Workingconditions
3.8Engineering
2.7
AI / ML Platform Engineer
- Location
- Hamburg, Munich, Mönchengladbach
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
