[Hiring] MLOps & ML Systems Engineer @24-MAG

Role Description

We are sharing a specialised part-time consulting opportunity for MLOps and ML systems professionals experienced in training infrastructure, modern ML frameworks, JAX, PyTorch, kernel-level programming, and structured technical evaluation. This role supports current and upcoming remote consulting opportunities focused on:

• ML infrastructure review
• MLOps task development
• Framework-level engineering
• Model training workflow evaluation
• Kernel-level optimization
• High-quality project execution

Selected professionals will apply hands-on ML systems expertise to:

• Design challenging technical tasks
• Evaluate solutions
• Review training pipeline reasoning
• Provide structured feedback across advanced machine learning engineering workflows

Qualifications

• 2+ years of dedicated professional experience in ML infrastructure, MLOps, ML systems engineering, or a closely related technical field
• Hands-on production experience with JAX and/or PyTorch at scale
• Experience writing or optimizing custom GPU kernels using Pallas, Triton, or comparable kernel programming tools
• Strong understanding of model training infrastructure, distributed systems, framework-level behavior, and ML engineering workflows
• Demonstrable career progression in technical engineering roles
• Strong written communication skills and ability to explain complex technical decisions clearly
• Ability to work independently in a remote, project-based environment

Requirements

• A degree in computer science, computer engineering, electrical engineering, applied mathematics, machine learning, data science, or a related technical field is helpful
• Professional experience in MLOps, ML infrastructure, ML systems, distributed training, GPU programming, or framework-level engineering is highly relevant
• Equivalent hands-on experience with large-scale ML systems, production training workflows, or kernel-level optimization may also be valuable

Benefits

• Remote structure with competitive hourly compensation
• Independent contractor role
• Fully remote with flexible scheduling
• High-commitment project availability may be required, potentially up to 40 hours per week during weekdays depending on project scope
• Competitive rates between $60–$100 per hour depending on expertise and project scope
• Weekly payments via Stripe or Wise
• Projects may be extended, shortened, or adjusted depending on scope and performance
• Work will not involve access to confidential or proprietary information from any employer, client, or institution