Machine Learning Platform Engineer
Machine Learning Platform Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Mass General Brigham relies on a wide range of professionals including doctors nurses business people tech experts researchers and systems analysts to advance our mission. As a not-for-profit we support patient care research teaching and community service striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
While experience with ML Ops/DevOps practices is beneficial direct machine learning experience is not required. We prioritize enthusiasm ownership and eagerness to learn.
Principal Duties and Responsibilities:
- Maintain and continuously develop our ML platform ensuring reliable operation and scalability.
- Integrate ML models seamlessly into clinical workflows with a particular focus on integration within Epic EHR systems.
- Implement and manage ML Ops best practices including model deployment monitoring version control and reproducibility.
- Facilitate the deployment scaling and management of dockerized pipeline containers
- Lead the development and improvement of user interfaces (ReactJS)
- Expand the ML platforms capabilities including support for Large Language Models (LLMs).
- Perform SQL-based data queries for efficient ingestion extraction and preparation of datasets.
- Generate and maintain high-quality datasets tailored to ML research and clinical studies.
- Oversee quality assurance processes documentation standards and best practices for the ML platform infrastructure.
Qualifications (1-4 years of experience):
- Data engineering ML Ops clinical integration software engineering or related roles.
- Clinical informatics systems particularly Epic EHR integration.
- Familiarity with healthcare data standards and interoperability (HL7 FHIR).
- Proficiency in Python programming.
- Experience with frontend/UI frameworks especially ReactJS.
- Strong experience in containerization and orchestration using Docker and Kubernetes.
- Familiarity with cloud services and microservice architectures (AWS or GCP specifically services such as SQS S3).
- Understanding of software best practices including version control (Git) continuous integration/deployment and quality assurance processes.
- Excellent communication skills attention to detail and the ability to collaborate effectively in a multidisciplinary team.
Job Summary
SummaryResponsible for implementing methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats and they develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling.
Does this position require Patient Care
No
Essential Functions
-Design develop and implement data pipelines and ETL/ELT code to support business requirements.
-Maintain and optimize various components of the data pipeline architecture.
-Deliver high quality efficient solutions to meet technical standards and industry best practices.
-Deliver optimal technical solutions for business and operational requirements.
-Participate in team design sessions and contribute options and solutions Produce and support product documentation.
-Participate in ETL Quality circle discussions to explore discuss and arrive at efficient solutions and best practices.
Qualifications
Education
Bachelors Degree Computer Science required or Bachelors Degree Related Field of Study required
Can this role accept experience in lieu of a degree
Yes
Licenses and Credentials
Experience
Data warehousing development in large reporting environment(s) 2-3 years required and Experience with developing data pipelines using on Snowflake features ( Snowpipe SnowSQL Snow Sight Data Streams ) required and Hands-on development experience with ETL/ELT tools such as dbt Fivetran or Informatica required and Experience working in Agile software development environment required
Knowledge Skills and Abilities
- Working knowledge of cloud computing platforms such as AWS GCP or Azure.
- Familiarity with enterprise data warehousing systems a plus.
Additional Job Details (if applicable)
Remote Type
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
Pay Range
$73798.40 - $107400.80/AnnualGrade
6EEO Statement:
Mass General Brigham Competency Framework
At Mass General Brigham our competency framework defines what effective leadership looks like by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance make hiring decisions identify development needs mobilize employees across our system and establish a strong talent pipeline.
Employment Type
Full-Time
