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.
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
Monitors and optimizes machine learning
performance, including model accuracy, efficiency, and
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.
Scale/Size of Area, Project and/or System
Precision Medicine Analytics
o Developing pipelines and deploying
algorithms within the hospital administration and
operations segment of the Platform,
including regulatory and hospital finance.
Precision Medicine Delivery
o Developing pipelines and deploying
algorithms into clinical workflows.
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
Experience with containers and container
orchestration using Kubernetes (Docker, Helm, kubectl,
Experience with data engineering tools and
languages such as Apache Spark, Python, Java, and
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
Strong written and verbal communication
Ability to work independently and in a team
Remote or Hybrid, East Baltimore
TeamThe Precision Medicine Initiative is a
strategic priority for the Johns Hopkins University and School of
Medicine. We are combining data from around the institution, to
make it possible for researchers from medicine, operations, and
health economics to discover potential new healthcare
interventions. We also help them build a path for implementation of
these interventions. We are doing this at scale and across a broad
range of disciplines.
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.
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.
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
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
Working Title: Senior Machine Learning Operations Engineer
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
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
Please refer to the job description
above to see which forms of equivalency are permitted for this
position. If permitted, equivalencies will follow these
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
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.
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 email@example.com. 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.
The following additional provisions may
apply, depending on campus. Your recruiter will advise
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.
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
The successful candidate(s) for this position will be subject to a
pre-employment background check.
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
HR Business Services Office at firstname.lastname@example.org. For TTY
users, call via Maryland Relay or dial 711.
The following additional provisions may apply depending on which
campus you will work. Your recruiter will advise
During the Influenza ("the flu") season, as a condition of
employment, The Johns Hopkins Institutions require all employees
who provide ongoing services to patients or work in patient care or
clinical care areas to have an annual influenza vaccination or
possess an approved medical or religious exception. Failure to meet
this requirement may result in termination of employment.
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.
Equal Opportunity Employer
Note: Job Postings are updated daily and remain online until
EEO is the Law
Important legal information