Engineer III, Machine Learning

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.

RESPONSIBIL ITIES, 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 :

The pay transparency policy is available here :

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 and let us know the nature of your request and your contact information.