onsite
R&D Data Scientist - Generative AI & Agentic Systems - airliquidehr
Data Scientist
Join an R&D team to design, develop, and deploy generative AI and autonomous agent solutions, leveraging Python, machine learning, LLMs, and cloud platforms to create innovative data‑driven products.
About the role
Key Responsibilities
- Design and implement generative AI models (e.g., GPT‑style, diffusion) for internal and client‑facing applications.
- Develop autonomous agent architectures that integrate LLMs with decision‑making and tool‑use capabilities.
- Collaborate with cross‑functional R&D teams to translate business problems into data‑science solutions and prototypes.
- Build and maintain scalable pipelines for data collection, preprocessing, model training, and inference on cloud environments.
- Evaluate model performance, conduct experiments, and iterate to improve accuracy, robustness, and efficiency.
Requirements
- Strong proficiency in Python and its ML ecosystem (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
- Hands‑on experience with large language models, prompt engineering, and generative AI techniques.
- Solid understanding of NLP, reinforcement learning, and agentic system design.
- Experience deploying models on cloud platforms (AWS, GCP, or Azure) and managing CI/CD for ML workflows.
- Advanced degree (PhD or Master) in Computer Science, Data Science, or a related field, with a research‑oriented mindset.
Skills
pythonmachine learninggenerative ainatural language processing