Machine Learning Engineer (Remote, Contract)

About the role

We are seeking a Machine Learning Engineer to develop, validate, and deploy machine‑learning models, training pipelines, and inference systems. The role is fully remote and offered on a contract basis.

Key responsibilities

• Develop and validate ML models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible programmatic workflows using Python and command‑line tools.
• Optimize training or inference for latency, throughput, memory usage, and hardware utilization.
• Diagnose numerical instability, tensor issues, memory bottlenecks, distributed‑system failures, and performance regressions.

Required profile

• Master’s degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative discipline.
• Strong professional or research experience in machine learning.
• Practical proficiency with Python.
• Experience with at least two relevant ML frameworks, libraries, or inference tools.
• Ability to debug ML systems beyond surface‑level API usage.

Required skills

• Python
• Command‑line tools