Data Scientist
Core
Design, implement, and optimize machine learning models and pipelines, specifically focusing on large language models (LLMs) and generative AI to power a platform.
Role type
Senior IC machine-learning engineer (LLMs)
Builds
Core AI/ML solutions and production-ready LLM applications
Domain
Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Docker, Kubernetes, cloud platforms (Databricks, AWS, GCP, Azure), MLOps, model deployment, feature engineering, distributed systems
Preferred skills
Fine-tuning large language models, applied research in generative AI
Technologies
PyTorch, TensorFlow, Docker, Kubernetes, Databricks, AWS, GCP, Azure
Responsibilities
Design, implement, and optimize machine learning models and pipelines; Develop, fine-tune, and evaluate large language models (LLMs); Integrate AI/ML solutions into the platform; Conduct applied research on LLMs and generative AI; Build end-to-end workflows from data exploration to production monitoring; Apply containerization and orchestration techniques; Manage data pipelines and distributed systems on cloud platforms.
Seniority
Senior, hands-on IC
