AI Engineer (Machine Learning / MLOps) - Freelance/Project-Based

AI Engineer (Machine Learning / MLOps) — Freelance / Project-Based

Worldwide | Remote | Contractor | Flexible/Project-based

Rate: $30–$90/hr

About the Role

We're looking for a skilled AI/ML Engineer to help train next-generation AI systems through hands-on machine learning and infrastructure work. You'll be working at the intersection of machine learning engineering, cloud infrastructure, and AI development.

No prior experience training AI models specifically is required — your expertise in ML, AWS, Kubernetes, and CI/CD is exactly what we're after.

This is a flexible, remote freelance opportunity: you set your own schedule and work fully independently, choosing how and when you contribute to cutting-edge machine learning and AI infrastructure projects.

What You'll Do

• Design, build, and optimize robust machine learning models for production environments
• Implement and automate end-to-end ML pipelines using CI/CD best practices
• Leverage AWS cloud services for scalable AI infrastructure and model deployment
• Orchestrate containerized ML workloads using Kubernetes to ensure high availability and seamless scalability

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• Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions
• Evaluate, preprocess, and frame real-world data problems for effective machine learning applications
• Document and communicate findings, solution approaches, and technical decisions with clarity and precision

What You Bring

• Proven expertise in machine learning algorithms, model development, and deployment
• Strong programming skills in Python or Java, with experience in large-scale software engineering projects
• In-depth experience with CI/CD workflows and automation tools
• Hands-on expertise with AWS cloud services for ML applications and data pipelines
• Advanced knowledge of Kubernetes for orchestrating containerized ML workloads
• Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration
• Demonstrated ability to scope, structure, and solve complex, real-world data challenges

Nice to Have

• Familiarity with deep learning frameworks such as TensorFlow or PyTorch
• Experience working in high-growth or startup environments
• A strong publication record or contributions to open-source AI/ML projects

Why Join Us

This is your chance to put your machine learning and cloud infrastructure expertise to work shaping how AI systems learn and scale — with full flexibility and independence to work on your own schedule, from anywhere. If you're passionate about MLOps, scalable AI infrastructure, and want to be part of the AI training wave, we'd love to hear from you.

At Vintti AI, we connect top LATAM engineering talent with cutting-edge AI projects at leading U.S. and Canadian companies. This is a unique opportunity to directly impact the next generation of AI — from a fully remote, flexible contractor role.

Apply now and help build the next generation of AI.

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To get the best shot at passing Micro1's AI interview, we recommend practicing beforehand. It will give you a clear idea of what to expect:

🎯 Practice here: https://www.micro1.ai/interview-prep