Engineer II, Machine Learning

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The Machine Learning Engineer II is responsible for building, testing, and deploying ML based software applications to solve moderately complex 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 Machine Learning Engineer II will develop ML based software applications that drive operational outcomes for internal teams as well as customers. Additionally, this role will identify ML software issues and recognize / implement additional features for existing software and leverage experience with machine learning model development / deployment, data preparation, and API based system integration.

RESPONSIBILITIES, other duties may be assigned.

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

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

Maintain / update deployed API based systems and infrastructure

Create unit tests for prototype systems to evaluate prototype feasibility / efficacy

Build / 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

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.

LI-MW2

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 :

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Know Your Rights (Spanish)

The pay transparency policy is available here :

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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.

It’s exhilarating to find yourself at a pivotal moment in history— and even more so to be leading the way. At QTS Data Centers, we are proud to stand at the forefront of today’s dynamic digital transformation. Our world-class data centers empower our customers’ most strategic growth initiatives, positioning us as a global leader in digital infrastructure.

As AI and cloud technologies fuel the demand for increased speed, capacity, and innovation, QTS has emerged as the global digital infrastructure leader. We are committed to connecting the globe for good. Driven by purpose and a spirit of innovation, we design, build, and operate some of the most advanced data centers worldwide. In addition to our cutting-edge technology, we are dedicated to sustainability, incorporating renewable energy solutions to minimize our environmental footprint and drive meaningful impact. As a proud portfolio company of Blackstone, QTS is uniquely positioned to achieve ambitious growth and innovation goals.

At QTS, we are Powered by People . Our team members are the cornerstone of our culture, innovation, and growth. They are mission-driven, resourceful, and committed to making a positive impact in the communities where we live and work. Together, we’re achieving remarkable things and shaping the future of digital infrastructure.

And we’d like to invite you to join us.

In addition to a variety of benefit packages, QTS goes above and beyond for our employees :

Roth and Traditional 401(k) matching contributions with immediate vesting

Every employee is bonus or commission eligible

Generous PTO, Paid Volunteer Days Plus Floating Holidays

Stock Purchase Plan (SPP)

11 paid Holidays Annually / Holiday compensation when worked

Pet and Legal Insurance

Q-Rest Sabbatical Program

Q-Anniversary Service Award Program

Parental Leave for primary and secondary caregivers

Military Benefits Package

QTS Charitable Matching Gift Program

QTS Scholarship for Employee Dependents

QTS Crisis Fund

Wellness Program

Tuition Reimbursement Program