Machine Learning Engineer/ 1 day ago
NavitasPartners
Attractive
Application ends: 2026-02-21
Quick Summary
This is a Contract, Fully Remote role for a Machine Learning Engineer with a bill rate of $55/hour, focused on designing, deploying, and maintaining scalable, end-to-end ML pipelines and systems. The role requires applying AI, ML, and statistical techniques to solve business problems using internal operational datasets. Candidates must have 5+ years of experience as an ML Engineer and with large-scale data pipelines, demonstrated end-to-end model ownership, full-stack engineering experience, and proficiency in Python, SQL, and PHP.
Machine Learning Engineer (Contract, Fully Remote)
Employment Type: Contract
Work Location: Fully Remote
Bill Rate: $55
We are seeking an experienced Machine Learning Engineer to design, build, deploy, and maintain scalable machine learning solutions. This role requires applying ML, AI, statistics, and advanced data analysis to internal operational datasets to solve complex, real-world business problems. The ideal candidate must demonstrate strong end-to-end ML ownership, robust data engineering skills, and the ability to operate effectively in a production-grade environment.
Key Responsibilities
- Design, develop, deploy, and maintain end-to-end machine learning pipelines and systems.
- Apply machine learning, AI, and statistical techniques to solve real-world business problems.
- Build scalable data pipelines to support model training, validation, and production inference.
- Perform data exploration, feature engineering, model selection, training, and evaluation.
- Ensure model performance, reliability, scalability, and maintainability in production.
- Monitor deployed models and pipelines; implement retraining, optimization, and lifecycle management.
- Collaborate with cross-functional teams to understand requirements and translate them into ML solutions.
- Contribute to system architecture, best practices, and technical documentation.
Required Skills & Experience
- 5+ years of experience as a Machine Learning Engineer.
- 5+ years of experience with large-scale data pipelines.
- Proven experience designing, deploying, and maintaining machine learning pipelines and systems.
- Demonstrated ability to build machine learning models end-to-end, from data ingestion to production.
- Strong Machine Learning and AI domain expertise.
- Full-stack engineering experience.
- Strong background in statistics, data analysis, and applied ML algorithms.
- Proficiency in:
- Python
- SQL
- PHP
Education & Preferred Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or a related quantitative field.
- Preferred Experience:
- Experience working at large technology organizations (e.g., Big Tech environments such as Meta, Google, Microsoft, or similar).
- Exposure to enterprise-scale or highly distributed ML systems.