Demo

Engineer III, Machine Learning

QTS Data Centers
Suwanee, GA Full Time
POSTED ON 1/5/2025 CLOSED ON 2/1/2025

What are the responsibilities and job description for the Engineer III, Machine Learning position at QTS Data Centers?

Learn what makes QTS a unique place to grow your career!

Who We Are:

It's pretty exciting, to find yourself standing in a pivotal moment in time. It’s even more exciting to be out front leading it. At QTS, our world-class data centers are supporting our customers most strategic growth initiatives, positioning us at the forefront of today’s dynamic digital transformation.

As AI and cloud drive the demand for increased speed, capacity and capability, QTS has emerged as the global digital infrastructure leader, committed to connecting the world for good. Driven by purpose and fueled by a spirit of innovation, QTS designs, builds and operates some of the world’s most advanced, forward-thinking data centers. QTS is a portfolio company of Blackstone.

QTS is Powered by People. People who play a vital role in our company’s culture, innovation and growth. People who are committed to contributing to the communities where we operate and work. People who are knowledgeable, resourceful and mission driven. Together, we do great things.

Who You Are:

The Engineer III, Machine Learning is responsible for building, testing, and deploying ML based software applications to solve internal and customer facing automation problems. As part of the AI & Analytics Innovation Team, this role will work together with engineers and data scientists to rapidly prototype, evaluate, and deploy solution to solve QTS’s most demanding automation challenges. The Senior ML Engineer must be able to work as part of a team to develop solutions to problems with a high level of ambiguity while delivering against a rapid development cycle.

The Engineer III, Machine Learning will interact (on a daily basis) with Technical Operations, Facilities Operations, Accounting, Service Delivery Platform (SDP), Property Development, external development resources and other areas of the business.

RESPONSIBILITIES, Other Duties May Be Assigned.

  • Collaborate with the AI & Analytics team on overall system development / testing / deployment
  • Develop and optimize API based integrations to support system interoperability
  • Rapidly build python-based prototype systems to vet use case feasibility
  • Build / test / deploy / maintain / update API based systems and infrastructure to connect data silos
  • Create unit tests for prototype systems to evaluate prototype feasibility / efficacy
  • Rapidly prototype and evaluate use case ideas to vet feasibility and value
  • Provide input to the team regarding GUI design for each use case
  • Build / maintain data aggregation services and systems
  • Assist with maintaining current ML Models
  • Assist with data interpretation and correlation including developing visualizations and reporting
  • Assist with investigating and developing new ML models related to critical operations
  • Assist with developing value statements for potential AI/ML/Automation initiatives
  • Assist with development and population of new database structures
  • Create high-uptime, high-volume data integration systems (MM datapoints / second) to support AI / Analytics systems
  • Work collaboratively as part of distributed, fast paced team
  • Ability to identify, describe and come up with solutions to identified system deficiencies

Basic Qualifications

  • Minimum 5 years of hands-on experience in designing / prototyping / deploying production quality software systems.
  • Minimum 3 years of experience developing distributed web APIs to include proficiency with gRPC and RESTful APIs.
  • Demonstrated record of work ethic, team collaboration, accountability, and holding yourself and your team to higher standards
  • Advanced experience with Python application development
  • Experience with traditional Machine Learning model development best practices and tools
  • Data analysis and Extract Transform Load (ETL) best practices
  • Strong verbal / written communication skills

Preferred Qualifications

  • Experience with Kubernetes and container orchestration for microservices based architectures
  • Experience building automation systems using IOT data
  • Familiarity with critical facilities and environments
  • Experience with IOT based streaming protocols such as MQTT
  • Experience with graph, relational, NoSQL, and time series databases
  • Experience with cloud-based application development (AWS / Azure) and hybrid (on-prem / cloud) application architecture

Knowledge, Skills And Abilities

  • Excellent problem solving ability
  • Ability to think outside the box and distill ideas that represent the “art of the possible” into practical, value add use cases
  • Must be a capable, proven team player that both fosters and operates well within internal and external team environments.
  • Able to solve problems at a tactical and functional level
  • Rapidly prototype and evaluate use case ideas to vet feasibility and value
  • Create high-uptime, high-volume data integration systems (MM datapoints / second) to support AI / Analytics systems
  • Build, test, deploy API based systems to connect data silos
  • Work collaboratively as part of distributed, fast paced team
  • Ability to identify, describe and come up with solutions to identified system deficiencies

TOTAL REWARDS

  • This role is also eligible for a competitive benefits package that includes: 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, and other company benefits.
  • This position is bonus eligible.

We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim.

The "Know Your Rights" Poster is included here:

Know Your Rights (English)

Know Your Rights (Spanish)

The pay transparency policy is available here:

Pay Transparency Nondiscrimination Poster-Formatted

QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.

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