Role Overview
We are seeking a highly skilled Machine Learning Engineer with 4+ years of experience to bridge the gap between Generative AI and actionable business intelligence. The ideal candidate will be responsible for optimizing Large Language Model (LLM) performance and developing advanced clustering models for customer and product segmentation.
Key Responsibilities
LLM Optimization & Evaluation
Optimize accuracy and reduce latency of LLM-powered applications
Design and implement robust LLM evaluation frameworks
Work with LLM APIs and integrate them into production workflows
Advanced Analytics & Modeling
Develop clustering models for customer and product segmentation
Incorporate complex business logic into ML models
Apply statistical and machine learning techniques to derive actionable insights
Data Engineering & Orchestration
Build and maintain scalable data pipelines using SQL
Develop and manage Python-based DAGs (., Airflow)
Ensure efficient data processing and workflow automation
Technical Requirements
Mandatory Skills
Strong experience in LLM Evaluation
Hands-on expertise in Clustering Techniques
Advanced proficiency in SQL
Experience building Python-based DAGs (Airflow or similar tools)
Experience working with LLM APIs
Preferred (Bonus) Skills
Experience in self-hosting and fine-tuning LLMs
Knowledge of Time Series Forecasting
Experience in Dimension Reduction techniques
Familiarity with Market Basket Analysis
Hands-on experience with Spark and Alteryx