Applied AI Engineer
Required Skills
Python
Machine Learning
JSON
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description
Job Title: Applied AI Engineer
Job Type: Contractual
Location: Remote
Job Summary
Join our customer’s team as an Applied AI Engineer, where you will drive real-world impact by developing and deploying advanced AI solutions. You will collaborate with forward-thinking engineers and domain experts, leveraging your technical expertise to turn data into actionable insights. This is a unique opportunity to contribute to cutting-edge projects in a dynamic and fully remote environment.
Key Responsibilities
- Design, develop, and implement machine learning models to solve diverse business challenges.
- Collaborate cross-functionally to identify opportunities for AI integration and innovation.
- Preprocess, analyze, and interpret complex datasets using Python and related data tools.
- Develop APIs and data pipelines for seamless model integration and operationalization.
- Optimize models for performance, scalability, and robustness in production environments.
- Document methodologies, results, and workflows with clear, concise written communication.
- Communicate technical concepts to both technical and non-technical stakeholders effectively.
Required Skills and Qualifications
- Strong proficiency in Python for data analysis, modeling, and automation.
- Extensive hands-on experience with machine learning frameworks and libraries.
- Expertise in working with JSON data structures and API integrations.
- Ability to translate business requirements into deployable AI solutions.
- Excellent written and verbal communication skills, demonstrating a "care a lot" mindset for clarity and collaboration.
- Experience with version control systems and collaborative development tools.
- Self-driven, detail-oriented, and adaptable to a fast-paced remote work environment.
Preferred Qualifications
- Background in deploying machine learning solutions in cloud environments.
- Familiarity with MLOps tools and best practices.
- Previous experience working with distributed remote teams.