Machine Learning Engineer – Python
Location: Remote – Nearshore
Engagement: 3-month contract with potential extension
Availability: Full-time preferred; candidates with 50% availability may also be considered
Working Hours: Regular overlap with the North Carolina–based team
FULL COST: Up to $4,000 USD monthly
Start Date: As soon as possible
About the Role
We are seeking a hands-on Machine Learning Engineer to support and enhance a portfolio of existing machine learning models at different stages of maturity. The engineer will collaborate closely with the current team across model development, testing, optimization, and deployment.
This role is particularly suited to someone comfortable working with data, improving predictive models, and transforming experimental notebooks into structured, maintainable, production-ready Python code. The team will provide guidance on the models, development priorities, testing approach, and deployment process.
Responsibilities
Prepare, clean, transform, and validate datasets for model development.




Identify and engineer meaningful features based on available data and business requirements.
Support the development and enhancement of machine learning models.
Work with techniques such as multivariate regression and gradient boosting.
Evaluate model performance and contribute to model testing and validation.
Refactor notebooks into reusable, modular Python functions, scripts, and packages.
Help move models through development, testing, and productionization stages.
Work with data stored and processed through SQL and Snowflake.
Support model-related workflows across AWS and Azure DevOps.
Follow and improve the team’s existing in-house MLOps practices.
Participate in daily stand-ups and collaborate with technical and business stakeholders.
Complete assigned improvements and demonstrate delivered functionality.
Document model logic, technical decisions, testing results, and implementation changes.
Required Qualifications
Strong hands-on exper

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