Senior Machine Learning Operations Engineer
- Employer
- Johns Hopkins University
- Location
- Maryland, United States
- Salary
- Salary Not Specified
- Posted Date
- Jun 28, 2023
View more
Johns Hopkins, founded in 1876, is America's first research university and home to nine world-class academic divisions working together as one university.
IT@JH Technology Innovation Center (TIC) is seeking aSenior Machine Learning Operations Engineer who will be primarily responsible for managing and documenting pipelines to deploy AI/ML algorithms into production. In select cases, the Engineer will work on the algorithms directly, by measuring performance, refining, and optimizing them. The Engineer may also need to provide a limited amount of customer support to researchers preparing their own algorithms for deployment.
The Johns Hopkins Precision Medicine initiative is building an environment to deploy new operational and healthcare interventions. We are doing this at scale and across a broad range of disciplines, with interventions designed by researchers, clinicians, and operational staff.Job Scope/Complexity
- The Senior Machine Learning Operations Engineer will be part of the Johns Hopkins Medicine Technology Innovation Center and will work full-time with the Precision Medicine team (as well as clients, data stewards, project/program managers, and other IT teams). This position will be a critical member of the Precision Medicine initiative’s data science team, helping to translate new science into improved operations and clinical practice across a range of health conditions.
Specific Duties & Responsibilities
- Develops, deploys, and maintains machine learning models and systems.
- Collaborates with data scientists, software engineers, and other stakeholders to develop, test, and improve machine learning models.
- Designs and implements infrastructure and data preparation processes to support machine learning development and deployment.
- Monitors and optimizes machine learning performance, including model accuracy, efficiency, and scalability.
- Develops and maintains machine learning pipelines, including data ingestion, preprocessing, feature engineering, model training, and deployment.
- Builds monitoring and altering systems for pipeline metrics and model results.
- Identifies and resolves issues related to machine learning model performance and data quality.
- Develops and maintains documentation for machine learning systems and processes.
- Provides customer support to data scientists who use the processes and tools described above.
- Precision Medicine Analytics Platform
o Developing pipelines and deploying algorithms within the hospital administration and
operations segment of the Platform, including regulatory and hospital finance.
- Precision Medicine Delivery
Platform
Special Knowledge, Skills, & Abilities
- Experience with machine learning frameworks
such as TensorFlow, PyTorch, or Scikit-learn.
- Microsoft Azure and/or Amazon Web Services
cloud management and administration including environment
provisioning, configuration, performance monitoring and
security.
- Experience with containers and container
orchestration using Kubernetes (Docker, Helm, kubectl,
linkerd).
- Experience with data engineering tools and
languages such as Apache Spark, Python, Java, and
Scala.
- Proven track record of delivering AI/ML
deployments and cloud-native applications using
Infrastructure-as-Code (IaC) and GitOps technologies (e.g.,
Terraform, ARM templates, Bicep).
- Excellent problem-solving and analytical
skills.
- Strong written and verbal communication
skills.
- Ability to work independently and in a team environment.
- Remote or Hybrid, East Baltimore
The TIC is uniquely positioned within Johns Hopkins to help design, build, and deploy novel enterprise, departmental, and clinical applications that strive to improve workflow, outcomes, and patient care. Our applications focus on turning data and algorithms into useful visualization tools, improving workflows such as patient hand-off, rounding, and cross-team collaboration, and helping patients with medication adherence, data gathering, and overall clinical education. Our team frequently works with data from multiple sources including our Enterprise EMR (Epic), researcher curated data, and other IT systems. The applications we design, build, and support are critical to our healthcare operations and require high-availability, 24/7 monitoring, and on-call support.
Minimum Qualifications
- Bachelor's Degree.
- Six years of related experience.
- Additional education may substitute for required experience and additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula.
Preferred Qualifications
- Bachelor's or Master's Degree in computer science, Data Science, or a related field.
- At least 3 years of experience in machine learning development, model testing, and deployment.
- Experience setting up operations and pipelines for new and existing projects and/or familiarity with version control (i.e., Git, GitHub), CI/CD tooling (e.g., Azure DevOps Pipelines artifact repositories (e.g., Azure Container Registry, JFrog Artifactory), monitoring tools (e.g., Grafana, Prometheus), model monitoring tools (e.g. Weights & Biases, mlflow), and associated process automation (e.g. Apache Airflow).
- Familiarity with complex Data Lakehouse and data management tools, standards, and techniques that support various modes of data ingestion and curation such as: Azure Data Factory, Azure Data Lake Storage Gen2 (ADLS), Azure Databricks, Delta Lake, Azure Event Hubs, and Snowflake.
- Experience in healthcare IT.
- Familiarity with healthcare data standards including Fast Healthcare Interoperability Resources (FHIR), Observational Medical Outcomes Partnership (OMOP) and Observational Health Data Sciences and Informatics (ODHSI) Common Data Model, and/or HL7 Clinical Document Architecture (CDA).
Classified Title: Sr. Software
Engineer
Working Title: Senior Machine Learning Operations Engineer
Role/Level/Range: ATP/04/PF
Starting Salary Range: Min $83,100 - Max $145,360 Annually
(Commensurate with experience)
Employee group: Full Time
Schedule: Mon-Fri 8:30am-5:00pm
Exempt Status: Exempt
Location: School of Medicine Campus
Department name: IT@JH Technology Innovation Center
Personnel area: University Administration
Total Rewards
The referenced salary range is based on Johns Hopkins University’s
good faith belief at the time of posting. Actual compensation may
vary based on factors such as geographic location, work experience,
market conditions, education/training and skill level. Johns
Hopkins offers a total rewards package that supports our employees'
health, life, career and retirement. More information can be found
here: https://hr.jhu.edu/benefits-worklife/
Please refer to the job description
above to see which forms of equivalency are permitted for this
position. If permitted, equivalencies will follow these
guidelines:
JHU Equivalency Formula: 30 undergraduate degree credits (semester
hours) or 18 graduate degree credits may substitute for one year of
experience. Additional related experience may substitute for
required education on the same basis. For jobs where equivalency is
permitted, up to two years of non-related college course work may
be applied towards the total minimum education/experience required
for the respective job.
**Applicants who do not meet the posted requirements but are
completing their final academic semester/quarter will be considered
eligible for employment and may be asked to provide additional
information confirming their academic completion date.
The successful candidate(s) for this position will be subject to a
pre-employment background check. Johns Hopkins is committed to
hiring individuals with a justice-involved background, consistent
with applicable policies and current practice. A prior criminal
history does not automatically preclude candidates from employment
at Johns Hopkins University. In accordance with applicable law, the
university will review, on an individual basis, the date of a
candidate’s conviction, the nature of the conviction and how the
conviction relates to an essential job-related qualification or
function.
The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, theJHU Roadmap on Diversity and Inclusion.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
Learn more:
https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf
Accommodation Information
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office atjhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visitaccessibility.jhu.edu.
Johns Hopkins has mandated COVID-19 and influenza vaccines, as applicable. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.
The following additional provisions may apply, depending on campus. Your recruiter will advise accordingly.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
Note: Job Postings are updated daily and remain online until filled.
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