Machine Learning Engineer

Summary

Join a dynamic team as a Machine Learning Engineer, developing, deploying, and optimizing machine learning models and solutions in a cloud-based environment. Build, scale, and maintain ML pipelines, ensuring robust model performance. Collaborate with cross-functional teams to deliver impactful AI-driven outcomes. This fully remote, long-term contract opportunity offers competitive hourly compensation ($55-$65/hour, plus benefits) and a potential path to permanent hire. The ideal candidate is technically proficient, communicative, and comfortable working with developers and business stakeholders. This is a chance to work with a Fortune 500 company.

Requirements

• Reside within the continental US while working
• This role is W-2-only and it is a fully remote, long-term contract opportunity (no C2C)
• We are unable to offer sponsorship, including for candidates on OPT
• Standard Eastern Time business hours (full-time) and you must be exclusively dedicated to this role (no other simultaneous job engagements are permitted)
• Degree in Computer Science, Data Science, Machine Learning, or a related field
• 3+ years of experience in data engineering, preferably within a large enterprise environment, with 1+ years of hands-on experience in Machine Learning
• Advanced proficiency in Python, with hands-on experience using libraries such as TensorFlow and PySpark
• Experience deploying and monitoring machine learning models using containerization tools such as Docker and orchestration platforms like Kubernetes
• Hands-on experience with cloud ML solutions, specifically VertexAI and related Google Cloud Platform (GCP) services
• Familiarity with SQL for data preparation and analysis
• Exposure to DevOps practices, including CI/CD pipelines, automation, and infrastructure as code
• General software engineering skills, including familiarity with coding best practices and collaborative development workflows
• Strong communication skills - must be comfortable interfacing with business stakeholders, developers, and other cross-functional team members

Responsibilities

• Develop, deploy, and optimize machine learning models and solutions in a cloud-based environment
• Build, scale, and maintain ML pipelines, ensuring robust model performance
• Collaborate closely with cross-functional teams to deliver impactful AI-driven outcomes

Benefits

• Comprehensive medical / dental / vision insurance options (50% employer-paid premiums)
• 401K option (after 1 year of employment)
• Profit sharing
• Professional development and training opportunities
• Fully remote / Employer-provided equipment