Remote ML Engineer: Training Pipelines & AI Systems

Synthires; Spain; Remote; EUR 74,000 - 147,000; Part time

Job summary

Synthires is seeking a highly skilled ML Engineer (MSc or PhD) for a remote, contractor role. You will develop and optimize machine learning models, training pipelines, and inference systems, with a focus on Python, reproducible workflows, and coding agents.

This part-time engagement (~15 hours/week) offers flexible scheduling and output-based pay, with immediate onboarding and first task within 24–48 hours.

Qualifications

• Master's or PhD in a quantitative field with ML focus.
• Strong professional or research experience in machine learning.
• Proficiency in Python and experience with coding agents.
• Ability to implement, debug, and validate complex ML workflows.

Responsibilities

• Develop and validate machine learning models, training pipelines, and inference systems.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible workflows using Python and command-line tools.
• Debug numerical and system-level issues and optimize memory usage and performance.
• Create, solve, review, and validate challenging machine learning engineering tasks.

Skills

Python

Machine Learning

Coding agents

ML pipelines

Education

MSc/PhD in Computer Science, ML, AI, Applied Math, Stats, Engineering or related quantitative field

Job description

Synthires is seeking a highly skilled ML Engineer (MSc or PhD) for a remote, contractor role. You will develop and optimize machine learning models, training pipelines, and inference systems, with a focus on Python, reproducible workflows, and coding agents.

This part-time engagement (~15 hours/week) offers flexible scheduling and output-based pay, with immediate onboarding and first task within 24–48 hours.