Generative AI Data Scientist & ML Engineer
Core
Develop, optimize, and deploy Large Language Models (LLMs) and autonomous AI agents for corporate applications, focusing on NLP tasks, vector search, and model integration.
Role type
Senior Generative AI Data Scientist & ML Engineer
Builds
Production LLMs, autonomous AI agents, and vector search systems for corporate environments
Domain
Artificial Intelligence, Natural Language Processing, Big Data
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Keras, SQL, C++, MATLAB, R, vector search, LLM fine-tuning, hyperparameter tuning, data preprocessing, algorithm development, model evaluation
Preferred skills
Computer vision, high-energy physics research background, published research in AI/physics
Technologies
NumPy, Pandas, Matplotlib, OpenCV, Scikit-Learn, PySpark, GitLab, GitHub, Bitbucket, JIRA, VSCode, Jupyter Notebook, Spyder, Eclipse, Databricks, Azure Databricks, AWS S3
Responsibilities
Fine-tune LLMs for specific corporate applications, develop vector search indexing and retrieval systems, design autonomous AI agents, preprocess large datasets and perform feature engineering, evaluate and tune model performance, research and implement novel algorithms, deploy models into production environments, monitor production performance and implement improvements, collaborate on joint research projects, document methodologies and share knowledge
Seniority
Senior, hands-on IC with research leadership