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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

2-4 years of hands-on experience in designing / prototyping / 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 / written communication skills

PREFERRED QUALIFICATIONS

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

KNOWLEDGE, SKILLS AND ABILITIES

Ability to maintain code in production and deploy through modern DevOps pipelines

Ability to identify and implement new features for existing software systems to enhance business outcomes

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.

In accordance with applicable law, the following represents a reasonable estimate of the range of possible compensation for this role if hired remotely. Please note that this information is provided for those hired remotely, and this role is open to remote candidates with compensation that aligns with your location. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

The estimated pay range for this role is:

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. 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 savings account; paid holidays; paid time off; employee assistance program; and other company benefits.

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.