AI Engineer | $30-$130/hr Remote
Overview
As an AI Engineer at micro1, you'll play a hands-on role in shaping how next-generation AI systems learn, reason, and perform. Your domain expertise — even without a formal AI background — will be the key ingredient for training models on real-world, high-quality data. Bring your strong engineering and cloud skills, and we'll provide the platform to deploy and scale impactful machine learning solutions.
What You'll Do7
- 1Design, build, and fine-tune machine learning models for production, ensuring they are robust and performant.
- 2Automate the full ML lifecycle — from data preprocessing to deployment — using CI/CD pipelines and best practices.
- 3Leverage AWS services to create scalable infrastructure and deploy models efficiently.
- 4Orchestrate containerized workloads with Kubernetes to guarantee high availability and seamless scaling.
- 5Partner with data scientists, engineers, and researchers to turn complex business challenges into actionable ML solutions.
- 6Analyze and prepare real-world datasets to frame problems effectively for machine learning applications.
- 7Document your approach, findings, and technical decisions clearly to enable smooth collaboration and knowledge sharing.
Requirements7
- 1Proven track record designing, developing, and deploying machine learning algorithms in production settings.
- 2Strong programming skills in Python or Java, with experience building large-scale software projects.
- 3Deep familiarity with CI/CD workflows and automation tools for efficient delivery.
- 4Hands-on expertise with AWS cloud services for ML pipelines and data processing.
- 5Advanced knowledge of Kubernetes to orchestrate and manage containerized ML workloads.
- 6Excellent written and verbal communication skills, especially for technical documentation and cross-team collaboration.
- 7Demonstrated ability to scope and solve complex, ambiguous real-world data problems.
Who Should Apply
We're looking for engineers who bring deep domain expertise — whether in healthcare, finance, logistics, or another field — and combine it with solid engineering chops. You should be comfortable owning the full stack of ML deployment, from building models to managing cloud infrastructure. If you're curious, collaborative, and eager to influence how AI learns from the real world, this role is for you.
Salary Insight
Compensation ranges from $30 to $130 per hour, depending on experience and domain expertise.
Location
Required Skills
Application Tip
In your cover letter or resume summary, highlight a specific domain where your expertise has solved a real-world problem — even if it didn't involve AI. Micro1 values domain knowledge over AI experience, so make that connection clear.
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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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