AI Engineer for Machine Learning Model Development

Help train and deploy next-generation AI systems by turning real-world expertise into production-ready machine learning solutions. You will design and operate ML models and pipelines that shape how models learn, reason, and perform. No prior experience in AI is required, the company values domain expertise; at the same time, the role calls for hands-on ML engineering skills for production environments. The organization is an AI data lab that converts subject matter expertise across finance, healthcare, and STEM into high-quality training data, evaluations, and feedback loops to improve frontier AI.

• 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 services to build scalable AI infrastructure and deploy models.
• Orchestrate containerized workloads using Kubernetes to ensure availability and scalability.
• 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 clearly and precisely.

• Proven expertise in machine learning algorithms, model development, and deployment.
• Strong programming skills, preferably in Python or Java, with experience on large-scale software engineering projects.
• In-depth experience with CI/CD workflows and automation tools.
• Hands-on experience 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 an emphasis on clear technical documentation and team collaboration.
• Demonstrated ability to scope, structure, and solve complex, real-world data challenges.

Preferred qualifications: familiarity with deep learning frameworks such as TensorFlow or PyTorch, experience in high-growth or startup environments, and a strong publication record or contributions to open-source AI projects.

• Location: Remote
• Engagement: Contractor, independent contractor relationship
• Role involves contributing to the training and evaluation of frontier AI models and collaborating with a global expert network.

• Pay range: $30 - $90 per hour