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MLOps Software Engineer

2 months ago

Baltimore, Maryland, United States Johns Hopkins HealthCare Full time
Job Title: MLOps Programmer Analyst

We are seeking a highly skilled MLOps Programmer Analyst to join our team at Johns Hopkins HealthCare. As a key member of our healthcare software development team, you will play a critical role in the creation, implementation, and production support of healthcare software applications, with a focus on AI and machine learning operations (MLOps).

Job Responsibilities:
  • Analysis and Requirements Gathering: Define business or clinical problems by meeting with customers to observe and understand current processes and the issues related to those processes. Provide written documentation of findings to share with the customer and IT colleagues.
  • Design and Development: Write user stories and acceptance criteria by translating the requirements into functional and technical descriptions for use by engineers. Develop code using appropriate languages and tools to provide solutions for defined user stories and tasks.
  • Testing and Documentation: Create and document test scenarios to validate and verify application functionality. Automate testing suites using appropriate harnesses/tools. Write and maintain documentation by writing audience-appropriate materials to serve as references.
  • Maintenance: Monitor changes and resolve problems by responding to problems as they occur, following change management policies and procedures. Proactively ensure the solution satisfies customer requirements and provides a smooth transition to the solution.
Requirements:
  • Bachelor's degree required. Additional experience may be substituted for education.
  • One year of related work experience with computer systems and applications. Additional education may substitute for experience.
Preferred Qualifications:
  • Experience in data science, machine learning, data engineering
  • Experience in some of the following languages and tools: Java, Python, Azure, Databricks
  • Experience in machine learning frameworks, for example PyTorch, TensorFlow, ONNX
  • Experience with Large Language Models, Generative AI, model development/inference patterns
  • Experience with statistical analysis and data visualization tools
  • Experience designing scalable LLM solutions with distributed computing
Knowledge, Skills, & Abilities (KSA's):
  • Critical thinking and analytical reasoning skills
  • Ability to work on multiple priorities effectively
  • Ability to execute assigned project tasks within an established schedule
  • Ability to work collaboratively in a team environment
  • Ability to communicate effectively in the service of users and colleagues
  • Writes and speaks clearly and concisely
  • Possesses sound documentation skills
  • Ability to maintain confidentiality
  • Must demonstrate exemplary customer service skills