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AI Engineer | $30-$90/hr Remote
Overview
This contract role centers on building and refining production-grade machine learning systems. You'll design models, automate pipelines, and deploy scalable AI solutions using cloud and container technologies. Your real-world expertise is valued — even if you haven't worked specifically in AI before.
What You'll Do7
- 1Develop, build, and fine-tune machine learning models ready for production deployment.
- 2Set up and automate complete ML pipelines using CI/CD best practices for smooth delivery.
- 3Apply AWS services to create scalable infrastructure and manage model deployments.
- 4Use Kubernetes to orchestrate containerized workloads, ensuring reliability and easy scaling.
- 5Work closely with data scientists and engineers to turn complex business challenges into practical ML solutions.
- 6Analyze and prepare real-world data to frame problems effectively for machine learning applications.
- 7Document technical decisions, solutions, and findings clearly for team collaboration.
Requirements9
- 1Solid background in machine learning algorithms, model development, and deployment.
- 2Strong programming skills, ideally in Python or Java, with experience in large-scale software projects.
- 3Deep familiarity with CI/CD workflows and automation tooling for ML pipelines.
- 4Hands-on experience with AWS cloud services for machine learning and data pipelines.
- 5Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
- 6Excellent communication skills, with a focus on clear technical documentation and teamwork.
- 7Demonstrated ability to structure and solve complex data problems in real-world settings.
- 8Familiarity with deep learning frameworks like TensorFlow or PyTorch is a plus.
- 9Experience in high-growth or startup environments and contributions to open-source AI projects are advantageous.
Who Should Apply
We're looking for a practical machine learning engineer who thrives on building robust, scalable systems. You're comfortable with the entire ML lifecycle, from model design to deployment, and you understand how to leverage cloud infrastructure and container orchestration. You enjoy collaborating across teams and communicating technical ideas clearly. Even if your background isn't strictly in AI, your hands-on experience with data and software engineering makes you a strong fit.
Salary Insight
The hourly rate for this contract role ranges from $30 to $90 depending on experience and expertise.
Location
Required Skills
Application Tip
When applying, include a brief summary of a real-world ML project you've deployed — highlight the tools you used (e.g., AWS, Kubernetes, CI/CD) and the impact it had.
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How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
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