Machine Learning Associate Advisor
Core
Design, develop, and deploy cutting-edge AI and machine learning solutions, specifically focusing on large language models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
Role type
Senior IC machine learning engineer (LLMs & RAG)
Builds
AI/ML models and RAG systems integrated into applications
Domain
Artificial Intelligence / Machine Learning / Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Large Language Models (LLMs), RAG systems, Graph databases (Neo4j), Machine learning algorithms, Cloud-based ML platforms (AWS SageMaker, Databricks), Data preprocessing, Feature engineering
Preferred skills
MLOps practices, GPU acceleration, Distributed computing, Open-source contributions, Research publications
Technologies
PyTorch, TensorFlow, Neo4j, AWS SageMaker, Databricks, OpenAI, Anthropic, GPT-4, Claude
Responsibilities
Design and implement AI/ML models, Work with large language models from providers like OpenAI and Anthropic, Develop and optimize RAG systems, Collaborate with cross-functional teams to integrate AI capabilities, Conduct experiments and analyze results to improve model performance, Stay updated with the latest advancements in AI/ML and propose innovative solutions
