AI Engineer (m/w/d)
Tasks
- Build scalable ML pipelines using MLOps and LLM Ops practices
- Collaborate with stakeholders and translate requirements into solutions
- Create and manage NLP datasets
- Deploy models and manage inference servers
- Design Generative AI and NLP systems
- Develop agent systems and tool calling workflows
- Evaluate LLM and NLP system performance
- Fine-tune large language models
- Implement RAG chatbots and retrieval augmented workflows
Perks/Benefits
- Childcare support
- Discounted Public Transit
- Employee discounts
- Flexible work schedule
- Health and wellness benefits
- Mentoring
- Professional development
- Relocation or Travel Opportunities
- Remote work
- Sports membership discount
Skills/Tech-stack
AI Foundry | AWS Bedrock | Agent systems | Agent workflows | Azure AI | Azure AI Foundry | Databricks | Deep learning | Fine Tuning | Generative AI | GraphRAG | Hugging Face | Hugging Face Transformers | Inference Server | LLMOps | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Multi-Agent | Multi-agent workflows | Natural Language | Natural Language Processing | OpenAI API | RAG | Retrieval-Augmented Generation | Text Analytics | Text-to-SQL | Tokenization | Tool-Calling | Transformers | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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