Senior Machine Learning Engineer

Job Summary

Driving the design and implementation of algorithmic product architectures, the contract Senior Machine Learning Engineer will architect and deploy end-to-end machine learning workflows while collaborating with data science and engineering teams, with remote flexibility available.

Key responsibilities

• Architect and deploy end-to-end machine learning workflows, including data ingestion, processing, and results activation
• Partner with data scientists to build real-time streaming and batch ML solutions, focusing on scalability and performance
• Rapidly prototype algorithmic products using AWS services and transition them to robust production systems via infrastructure-as-code

Required qualifications

• 5+ years delivering software product solutions in cloud environments, focused on ML/algorithmic products
• Advanced expertise in AWS cloud services and infrastructure-as-code
• Strong programming proficiency: Python, SQL, PySpark, Docker
• Hands-on experience with large-scale streaming and batch data architectures
• Master's degree in computer science, software engineering, or related field