Machine Learning Specialist

Machine Learning Specialist 

Target Profile:

• 2+ years of experience in software engineering, ML engineering, or data-focused development roles.
• Exposure to deploying machine learning models or supporting AI/ML workloads in production environments.
• Proficient in Python, with experience building ML models or working with frameworks like PyTorch, TensorFlow, or similar.
• Solid understanding of core data science concepts, including statistical modeling, hypothesis testing, and data exploration techniques to inform model development and evaluation.

Project Overview & Deliverables:

• Develop and Maintain AI/ML Systems:Develop  reliable, scalable backend systems that power machine learning workflows and data pipelines.
• Cloud Operations and Deployment: Enhance  cloud infrastructure to support efficient model deployment and operational stability in real-world environments.
• Technical Problem Solving: Identify  engineering challenges, including those surfaced through direct client feedback and usage. Provide scalable solutions to address technical challenges
• You’ll build backend systems, support client-facing deployments, and enable smoother workflows for machine learning solutions.

What You’ll Do:

This opportunity combines hands-on model development with robust backend engineering and infrastructure work. You’ll build scalable systems, and ensure rapid iteration and deployment of machine learning solutions in dynamic, production-ready environments.

We offer a pay range of $40-to- $80 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Important:

Hours: 40 hours

All candidates must pass an assessment and interview as part of the contracting process.

All candidates must pass a Background Check prior to beginning work on the project.