ML/LLM Data Scientist
Core
Specialize in the analysis and experimentation of Machine Learning and Large Language Model (LLM) techniques, from data preparation to training/fine-tuning, evaluation, production deployment, and monitoring.
Role type
Senior ML/LLM Data Scientist
Builds
Production ML/LLM models and pipelines
Domain
Artificial Intelligence / Machine Learning / Large Language Models
Deliverable
production ML models
Required skills
Machine Learning, Large Language Models (LLM), Data Profiling, Feature Engineering, MLOps/LLMOps, Model Evaluation, Prompt Engineering, System Integration, Security Management
Preferred skills
Robotic Process Automation, Expert Systems, Rule Engines
Technologies
MLOps tools, LLM frameworks, Data processing libraries
Responsibilities
Analyze requirements and define classification, regression, clustering, NLP/LLM approaches; Prepare and curate datasets including profiling, cleaning, and feature engineering; Develop, train, and fine-tune ML/LLM models and prompts; Evaluate model performance including robustness and bias; Industrialize and release models and pipelines with versioning, packaging, deployment, and monitoring; Support architectural design decisions; Design complex solutions integrating AI and traditional technologies.
Seniority
Senior, hands-on IC