QTS Data Centers
Engineer II, Machine Learning
QTS Data Centers, Miami, Florida, us, 33222
Learn what makes QTS a unique place to grow your career!
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 systemsBuild, test, deploy API based systems to connect data silosWork collaboratively as part of distributed, fast paced teamCollaborate with the AI & Analytics team on overall system development / testing / deploymentDevelop and optimize API based integrations to support system interoperabilityRapidly build python-based prototype systems to vet use case feasibilityMaintain / update deployed API based systems and infrastructureCreate unit tests for prototype systems to evaluate prototype feasibility / efficacyBuild / maintain data aggregation services and systemsAssist with maintaining current ML ModelsAssist with investigating and developing new ML models related to critical operationsAssist 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 standardsExperience with Python application developmentExperience with traditional Machine Learning model development best practices and toolsUnderstanding of data analysis and Extract Transform Load (ETL) best practicesStrong verbal / written communication skills
Preferred Qualifications
Familiarity with Kubernetes and container orchestration for microservices based architecturesFamiliarity with critical facilities and environmentsExperience with graph, relational, NoSQL, and time series databasesExperience 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 pipelinesAbility to identify and implement new features for existing software systems to enhance business outcomesAbility 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.#J-18808-Ljbffr
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 systemsBuild, test, deploy API based systems to connect data silosWork collaboratively as part of distributed, fast paced teamCollaborate with the AI & Analytics team on overall system development / testing / deploymentDevelop and optimize API based integrations to support system interoperabilityRapidly build python-based prototype systems to vet use case feasibilityMaintain / update deployed API based systems and infrastructureCreate unit tests for prototype systems to evaluate prototype feasibility / efficacyBuild / maintain data aggregation services and systemsAssist with maintaining current ML ModelsAssist with investigating and developing new ML models related to critical operationsAssist 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 standardsExperience with Python application developmentExperience with traditional Machine Learning model development best practices and toolsUnderstanding of data analysis and Extract Transform Load (ETL) best practicesStrong verbal / written communication skills
Preferred Qualifications
Familiarity with Kubernetes and container orchestration for microservices based architecturesFamiliarity with critical facilities and environmentsExperience with graph, relational, NoSQL, and time series databasesExperience 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 pipelinesAbility to identify and implement new features for existing software systems to enhance business outcomesAbility 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.#J-18808-Ljbffr