Machine Learning Reply
1 month ago
GenAI Engineer (m/f/d)
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Company information
- Company
- Machine Learning Reply
- Location
- Munich, Bayern, Germany Germany
- Posted
- 1 month ago
Job description
Tasks
As a GenAI Engineer (m/f/d), you will independently develop and implement Generative AI models, (multi-)agent-based LLM applications, and AI-based solutions for our customer-specific requirements. You will identify and analyze problems in the context of AI and generative models.
You will develop and maintain AI pipelines, APIs, and interactive applications, and work on components such as Large Language Models, multimodal models, Knowledge Graphs, and AI-supported products.
Working on complex AI projects, analyzing business applications for generative AI, and translating them into technical solutions complement your activities.
You will leverage your communication skills to collaborate closely with our customers, analyze their problems in the context of GenAI, and present the results understandably.
You will work across various technology stacks, e.g., Azure, AWS, GCP, Databricks, LangChain, Hugging Face, OpenAI APIs, LLM frameworks, and cloud infrastructure.
You will mentor junior colleagues in the field of AI and ensure knowledge transfer within the team.
You will benefit from our team, learning resources, hackathons, and other opportunities to advance your technical development in Generative AI and be present in the community.
Benefits
Regular and systematic (external and internal) training opportunities in Generative AI, LLM development, and cloud architecture
Access to cross-industry projects, e.g., banking, insurance, automotive, retail
Collaborations with leading partners in Cloud, AI/ML, and AutoML and access to enterprise versions of leading LLMs
Work in an open, flat environment within a broad Reply network for knowledge exchange
Award-winning office spaces in Munich city center with access to the main train line
Deutschlandticket (Germany Ticket)
Support for sports activities via EGYM Wellpass and other benefits from the Reply Group
Flexible work environment between customer projects, Reply office, and remote work
Completed degree with a technical background, e.g., Computer Science, Business Informatics, (Business) Mathematics, Data Science, or similar
Experience with Generative AI, LLMs, NLP, and AI-based production systems, knowledge in Python, R, Rust, PySpark, or SQL
Experience in Context Engineering, Prompt Engineering, Fine-Tuning, Retrieval-Augmented Generation (RAG), or similar LLM techniques
Familiarity with cloud platforms like AWS, GCP, or Azure, containerization, and deployment of AI models
Good communication skills in German and English
Willingness to learn, team player, and the ability to explain complex technical concepts clearly
Good project management skills and the ability to work both independently and in a team
About Machine Learning Reply
Machine Learning Reply offers tailor-made end-to-end solutions in the Data Science area, covering the entire project lifecycle – from initial strategy consulting and data architecture to infrastructure topics, data processing, and quality assurance using Machine Learning algorithms. Machine Learning Reply possesses comprehensive expertise in Data Science across all key industries of German HDAX companies. Machine Learning Reply enables its customers to successfully introduce new data-driven business models and to optimize existing processes and products – with a focus on open-source and cloud technologies. With the Machine Learning Incubator, the company offers a program to train the next generation of decision-makers, Data Scientists, and developers.
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Required skills
- databricks
- english
- team player
- communication
- german
- remote work
- automotive
- training
- mentoring
- project management
- retail
- process optimization
- quality assurance
- generative ai
- sql
- ai
- python
- aws
- nlp
- llm
- prompt engineering
- independent work
- insurance
- cloud technologies
- gcp
- azure
- apis
- machine learning
- data science
- infrastructure
- rust
- large language models
- cloud platforms
- computer science
- cloud infrastructure
- strategy consulting
- pyspark
- data architecture
- banking
- containerization
- munich
- data processing
- rag
- technical solutions
- community
- deployment
- office spaces
- r
- mathematics
- multi-agent systems
- developers
- langchain
- openai apis
- flexible work
- business informatics
- cloud architecture
- llm frameworks
- customer collaboration
- machine learning algorithms
- hugging face
- fine-tuning
- flat hierarchy
- multimodal models
- business applications
- knowledge transfer
- retrieval-augmented generation
- ai-based solutions
- business models
- learning resources
- product optimization
- knowledge graphs
- decision-makers
- technical development
- egym wellpass
- open-source technologies
- sports activities
- deutschlandticket
- hackathons
- context engineering
- ai pipelines
- open environment
- wissensaustausch
- interactive applications
- genai engineer
- ai-supported products
- generative ai projects
- llm development
- cross-industry projects
- cloud partners
- ai/ml partners
- automl partners
- enterprise llms
- reply network
- reply group
- ai-based production systems
- llm techniques
- hdax
- machine learning incubator
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