ML Engineer (Mid-Level) - Remote US

About the Role

Third Eye Software is seeking a Mid-Level Machine Learning Engineer to join a dynamic team focused on developing, deploying, and optimizing machine learning models and solutions in a cloud-based environment. The role involves building and scaling ML pipelines, maintaining reliable model performance, and collaborating with developers, business stakeholders, and other cross-functional teams. This is an opportunity to support AI-driven initiatives within a large Fortune 50 enterprise while working in a fully remote environment. The position is a long-term contract with potential for future growth and possible permanent employment based on business needs and performance.

Key Responsibilities

• Develop, deploy, and optimize machine learning models and solutions in cloud-based environments.
• Build, scale, and maintain machine learning pipelines.
• Monitor and support robust model performance.
• Apply software engineering best practices to machine learning development.
• Collaborate with developers and cross-functional teams to deliver AI-driven solutions.
• Communicate effectively with business stakeholders regarding technical initiatives and requirements.
• Contribute to collaborative development workflows and maintain high-quality code.
• Support the delivery of scalable machine learning solutions aligned with business objectives.

Required Qualifications

• Bachelor's degree or relevant degree in Computer Science, Data Science, Machine Learning, or a related field.
• 3+ years of engineering experience.
• 1+ year of hands-on machine learning experience.
• Advanced proficiency in Python.
• Advanced proficiency in SQL.
• Hands-on experience with Vertex AI.
• Experience with Google Cloud Platform (GCP) services related to machine learning.
• Understanding of software engineering principles and coding best practices.
• Familiarity with collaborative software development workflows.
• Strong written and verbal communication skills.
• Ability to work effectively with developers, business stakeholders, and cross-functional teams.

Preferred Qualifications

• Engineering experience within a large enterprise environment.
• Experience developing and deploying machine learning solutions at enterprise scale.
• Experience working with cloud-based ML pipelines and infrastructure.
• Experience supporting AI-driven initiatives in complex organizational environments.

Skills & Competencies

• Machine Learning
• Python
• SQL
• Vertex AI
• Google Cloud Platform (GCP)
• Machine Learning Pipelines
• Model Deployment
• Model Optimization
• Cloud ML Solutions
• Software Engineering
• Coding Best Practices
• Collaborative Development
• AI Solutions
• Technical Communication
• Stakeholder Management
• Cross-Functional Collaboration

Work Arrangement & Schedule

• Location: Atlanta, GA, US
• Work Arrangement: Fully Remote
• Employment Type: Full-time
• Engagement: Long-term contract
• Employment Model: W-2 only
• Schedule: Standard Eastern Time business hours
• Work Commitment: Exclusive dedication to this role; simultaneous employment engagements are not permitted
• Geographic Eligibility: Must reside within the continental United States while working
• Sponsorship: Not available now or in the future
• Contract-to-Permanent: Potential pathway to permanent employment based on business needs and performance

Compensation & Benefits

• Base Pay Range: $100,000–$120,000 per year
• Hourly compensation during the contract engagement
• Benefits available during the contract
• Comprehensive medical, dental, and vision insurance options with 50% employer-paid premiums
• 401(k) option after 1 year of employment
• Profit sharing
• Professional development and training opportunities
• Fully remote work
• Employer-provided equipment