Machine Learning Research & Engineering Specialist

Gramian Consulting Group; Oregon; Hybrid; USD 120,000 - 190,000; Part time

Job summary

GramianGramian Consultancy seeks a highly skilled Machine Learning Research & Engineering Specialist for an advanced AI training project. You will develop, train, and optimize ML models and inference systems, with a strong emphasis on Python-based pipelines and reproducible workflows.

The role is experienced/research-level, remote worldwide, ~15 hours per week, and requires a Master’s or PhD in a quantitative field.

Qualifications

• Master's degree or PhD in Computer Science, ML, AI, applied mathematics, statistics, or a closely related field.
• Experience in ML engineering and practical ML development is required.
• Strong Python programming and debugging skills with non-trivial code.

Responsibilities

• Develop, validate, and optimize ML models, training pipelines, and inference systems.
• Implement model components, data pipelines, evaluation systems, and numerical methods in Python.
• Build reproducible workflows and test suites using Python and ML frameworks.
• Debug numerical, algorithmic, and system-level failures and identify root causes.
• Optimize training and inference for memory, speed, and throughput; document results.
• Review code and MC tasks; validate solutions and support the project deadlines.
• Use coding agents in the development workflow to accelerate implementation and review.

Skills

Machine learning

Python programming

Debugging

Numerical computing

Performance optimization

Independent work

English communication

Education

Master's degree or PhD in CS/ML/AI

Tools

Python

ML frameworks

Command-line tools

Job description

About GramianGramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About the RoleWe are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands‑on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems.

SENIORITY: Experienced / Research-Level EngineerEDUCATION: Master's degree or PhD in a relevant quantitative disciplineLANGUAGE: Strong written and verbal EnglishLOCATION: Remote — Worldwide

Key Responsibilities

• Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python.
• Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks.
• Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions.
• Optimize model training and inference for memory usage, computational efficiency, throughput, and performance.
• Design and execute tests to verify implementation correctness and compliance with objective performance requirements.
• Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions.
• Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results.
• Document technical approaches, implementation decisions, test results, and performance findings clearly.
• Deliver high-quality, reproducible task submissions within project deadlines.

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 the ability to implement, debug, test, and optimise 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, particularly when diagnosing numerical or computational issues.
• Ability to work independently, manage technical tasks, and meet defined quality and submission requirements.
• Strong written communication skills and the ability to explain technical findings.
• Availability to contribute approximately 15 hours per week and begin the first task within 24-48 hours after onboarding.