Machine Learning Engineer
Core
Build ML-driven personalization solutions using experiments at scale to enhance user experience, drive engagement, and create business value for customers.
Role type
Senior Machine Learning Engineer (Generative AI & LLMs)
Builds
ML-driven personalization applications and interactive dashboards
Domain
Logistics & Supply Chain / Generative AI
Deliverable
production ML models | product features
Required skills
Python, SQL, Large Language Models (LLMs), Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), agent-based frameworks, experiment design, causal inference, deep learning, MLOps, version control (Git), CI/CD pipelines
Preferred skills
Transformer-based architectures (BERT, GPT, LLaMA, Mistral, Claude, Gemini), fine-tuning LLMs, Streamlit, Azure, Databricks, cross-functional collaboration
Technologies
LangChain, LangGraph, Crew AI, Streamlit, Azure, Databricks, Git
Responsibilities
Partner with business and tech colleagues to understand customers and uncover opportunities; design, execute, and analyze experiments; develop ML solutions for personalization; deploy LLM-driven applications; build interactive dashboards
Seniority
Senior, hands-on IC