ML Model Development & MLOps Expert

Role Description

We are sharing a specialised part-time consulting opportunity for professionals experienced in machine learning engineering, model development, Python, ML frameworks, model deployment, MLOps, and structured AI workflow review. This role supports current and upcoming remote consulting opportunities focused on:

• Machine learning model evaluation
• ML engineering workflow review
• Model deployment assessment
• MLOps documentation
• Technical task development
• High-quality project execution

Selected professionals will apply their machine learning engineering expertise to review realistic ML scenarios, evaluate technical outputs, prepare structured written feedback, and support accurate, evidence-based AI engineering workflow tasks.

Qualifications

• Professional experience in machine learning engineering, applied ML, data science engineering, AI engineering, MLOps, model deployment, or related technical roles
• Background in one or more areas such as model development, Python, PyTorch, TensorFlow, data pipelines, model evaluation, production ML, or ML infrastructure
• Familiarity with workflows involving training, validation, experiment tracking, model serving, monitoring, deployment, and technical documentation
• Comfort reading and preparing ML artifacts such as notebooks, model reports, experiment logs, pipeline documentation, deployment notes, and technical summaries
• Strong written communication skills
• Ability to work independently in a remote, project-based environment

Requirements

• A degree or professional background in computer science, machine learning, data science, statistics, mathematics, software engineering, computer engineering, or a related technical field is helpful
• Graduate-level study, applied ML experience, research experience, or production engineering experience is highly relevant
• Equivalent practical experience in ML engineering, AI systems, MLOps, model deployment, or technical review is also valuable

Benefits

• Apply machine learning engineering expertise to structured remote project work
• Contribute to high-quality ML evaluation, model workflow review, deployment assessment, and AI engineering task development
• Work on flexible assignments aligned with your ML engineering background
• Use your technical judgment in a focused, detail-oriented review environment
• Remote structure with competitive hourly compensation

Contract Details

• Independent contractor role
• Fully remote with flexible scheduling
• Part-time commitment depending on project availability
• Competitive rates between $95–$135 per hour depending on expertise
• 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

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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