Lead the design, development, and deployment of novel agentic systems and core machine learning models
Execute data analysis, error analysis, and rigorous experimentation to drive model improvements
Design and implement the end-to-end machine learning pipeline (MLOps)
Work with large-scale datasets for data wrangling and feature engineering
Apply machine learning and distributed systems principles in production
Own ML models and systems through their full lifecycle

8+ years of professional Machine Learning / AI engineering experience
5+ years of experience with advanced Python development
Bachelor’s degree in Computer Science, Machine Learning, or related discipline, or equivalent practical experience
Expertise in designing, training, and evaluating Machine Learning models
Expertise with building agentic systems and leveraging LLMs, retrieval-augmented generation (RAG), and sophisticated prompting techniques
Proficiency with popular Machine Learning frameworks and MLOps tools
Strong understanding of data wrangling, feature engineering, and data validation techniques for large-scale datasets
Proficiency with advanced Python concepts
Proficiency with unix systems and cloud platforms

Senior Machine Learning Engineer

Key skills