ML Infrastructure Engineer | Python & PyTorch

Bayside Solutions; United States; On-site; USD 114,400 - 135,200; Full time

Job summary

A leading solutions provider is seeking a Backend Software Engineer specializing in Python and PyTorch to join their central ML/AI platform team. This role involves designing and supporting scalable ML infrastructure for various organizational needs. Ideal candidates should possess strong Python experience, hands-on proficiency with PyTorch, and a solid understanding of machine learning fundamentals. This is a W2 contract position with a competitive salary range of $114,400 to $135,200 per year.

Qualifications

• Strong experience with Python, including writing production-quality, maintainable code.
• Hands-on experience with PyTorch in real-world ML systems (training and/or inference).
• Solid understanding of ML fundamentals, including embeddings and representation learning.

Responsibilities

• Design, develop, and enhance ML infrastructure services supporting training and inference.
• Implement small to medium-sized features across existing ML platform components.
• Communicate technical decisions and trade-offs clearly.

Skills

Python

PyTorch

Machine Learning Infrastructure

Debugging

Cross-Functional Collaboration

Job description

A leading solutions provider is seeking a Backend Software Engineer specializing in Python and PyTorch to join their central ML/AI platform team. This role involves designing and supporting scalable ML infrastructure for various organizational needs. Ideal candidates should possess strong Python experience, hands-on proficiency with PyTorch, and a solid understanding of machine learning fundamentals. This is a W2 contract position with a competitive salary range of $114,400 to $135,200 per year.