Data Scientist
Core
Design, deploy, and optimize machine learning models and AI solutions, with a focus on Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) for content creation and process automation.
Role type
Senior Generative AI and Machine Learning Engineer
Builds
Production ML models, LLM applications, and RAG-based systems
Domain
Artificial Intelligence, Generative AI, Natural Language Processing (NLP)
Deliverable
production ML models
Required skills
Generative AI model training and fine-tuning, LLM implementation (open-source and commercial), RAG techniques, vector databases, Python (TensorFlow, Pytorch, Hugging Face), NLP architectures, traditional ML (decision trees, SVMs, neural networks, clustering), cloud platforms (AWS, GCP, Azure), MLOps practices
Preferred skills
Reinforcement learning from human feedback (RLHF), prompt engineering, ethical AI principles, model interpretability
Technologies
TensorFlow, PyTorch, Hugging Face, AWS, GCP, Azure
Responsibilities
Create machine learning models and tailored AI solutions, fine-tune and extend Large Language Models, implement RAG techniques, perform exploratory data analysis and feature engineering, develop models for content creation and process automation, collaborate with data engineers and product managers, ensure quality through testing and validation, maintain technical documentation
Seniority
Senior, hands-on IC