Machine Learning Research & Engineering Specialist (AI)

Location: Remote — Worldwide; listed locations include the United States, Canada, Mexico, Costa Rica, Panama, and Guatemala.

Company

Boutique consultancy providing IT professional services and engineering talent solutions by matching companies with software engineering and leadership professionals.

What you will do

• Develop, implement, and validate machine learning models, training pipelines, inference systems, supporting infrastructure, data pipelines, evaluation systems, and numerical methods using Python.
• Build reproducible programmatic workflows with Python, command-line tools, and relevant machine learning frameworks.
• Debug numerical, algorithmic, and system-level failures, identify root causes, and implement reliable solutions.
• Optimize model training and inference for memory usage, computational efficiency, throughput, and performance.
• Design and execute tests, review challenging machine learning engineering tasks, and validate code and proposed solutions against objective requirements.
• Use coding agents for implementation, debugging, testing, and code review; document technical approaches, test results, performance findings, and implementation decisions.

Requirements

• Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong professional or research experience in machine learning and practical ML engineering.
• Strong Python programming skills, including implementing, debugging, testing, and optimizing non-trivial code.
• Hands-on experience using coding agents within a Python development workflow.
• Understanding of machine learning model development, training and inference workflows, and evaluation methods.
• Ability to build reproducible implementations and verify correctness through systematic testing.
• Strong quantitative reasoning and problem-solving skills for diagnosing numerical and computational issues.
• Ability to work independently, manage technical tasks, meet defined quality and submission requirements, and explain technical findings clearly in writing.
• Strong written and verbal English.
• Availability for approximately 15 hours per week and to begin the first task within 24–48 hours after onboarding.

Culture & Benefits

• Remote work arrangement.
• Contract engagement within an advanced AI training project.
• Approximately 15 hours of work per week.