Engineer II, Machine Learning

$78,750 - $134,400/Yr

Quality Technology Services - Atlanta, GA

Full-time - Mid Level

Remote - Atlanta, GA

11-50 employees

Furniture, Home Furnishings, Electronics, and Appliance Retailers

About the position

The Machine Learning Engineer II at QTS is responsible for building, testing, and deploying machine learning-based software applications to address moderately complex automation challenges for both internal teams and customers. This role is part of the AI & Analytics Innovation Team, collaborating with engineers and data scientists to rapidly prototype and implement solutions that enhance operational outcomes. The engineer will also identify software issues and implement new features for existing applications, leveraging their expertise in machine learning model development, data preparation, and API integration.

Responsibilities

• Create high-uptime, high-volume data integration systems to support AI / Analytics systems
• Build, test, deploy API based systems to connect data silos
• Work collaboratively as part of a distributed, fast-paced team
• Collaborate with the AI & Analytics team on overall system development, testing, and deployment
• Develop and optimize API based integrations to support system interoperability
• Rapidly build python-based prototype systems to vet use case feasibility
• Maintain and update deployed API based systems and infrastructure
• Create unit tests for prototype systems to evaluate prototype feasibility and efficacy
• Build and maintain data aggregation services and systems
• Assist with maintaining current ML Models
• Assist with investigating and developing new ML models related to critical operations
• Assist with development and population of new database structures

Requirements

• 2-4 years of hands-on experience in designing, prototyping, and deploying production quality software systems OR MS degree in computer science or equivalent
• Demonstrated record of work ethic, team collaboration, accountability, and holding yourself and your team to higher standards
• Experience with Python application development
• Experience with traditional Machine Learning model development best practices and tools
• Understanding of data analysis and Extract Transform Load (ETL) best practices
• Strong verbal and written communication skills

Nice-to-haves

• Familiarity with Kubernetes and container orchestration for microservices based architectures
• Familiarity with critical facilities and environments
• Experience with graph, relational, NoSQL, and time series databases
• Experience with cloud-based application development (AWS / Azure) and application architecture

Benefits

• Medical, dental, vision, life, and disability insurance
• 401(k) retirement plan
• Flexible spending and HSA accounts
• Paid holidays
• Paid time off
• Paid volunteer days
• Employee assistance program
• Tuition assistance
• Parental leave
• Military leave assistance
• QTS scholarship for dependents
• Wellness program
• Bonus eligibility