onsite
AI Engineer - Agentic AI - Deichmann SE
AI Engineer
Lead the design and deployment of agentic AI solutions, leveraging advanced machine learning, NLP, and reinforcement learning techniques to create autonomous agents that adapt and learn in real‑time environments.
About the role
Key Responsibilities
- Design, develop, and deploy agentic AI models using Python, PyTorch, and OpenAI APIs.
- Implement reinforcement learning pipelines to enable autonomous decision‑making and continuous learning.
- Integrate NLP components for natural language understanding and generation within agent workflows.
- Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions.
- Conduct rigorous testing, performance tuning, and model validation to ensure reliability and safety.
Requirements
- Strong background in machine learning, deep learning, and reinforcement learning.
- Proficiency in Python, PyTorch, and experience with OpenAI or similar APIs.
- Hands‑on experience with NLP libraries (e.g., Hugging Face, spaCy).
- Excellent problem‑solving skills and ability to work in an agile environment.
- Fluent in English; German is a plus.
Skills
pythonmachine learningnlpreinforcement learningdeep learningpytorch