AI-Machine Learning Engineer

Overview

Join to apply for the AI-Machine Learning Engineer role at Dana-Farber Cancer Institute .

The Artificial Intelligence & Machine Learning Engineer / Scientist I works within the Artificial Intelligence Operations and Services group (AIOS) in the Informatics & Analytics department of Dana-Farber Cancer Institute. This role provides support in machine learning, NLP, and computer vision to build reusable and scalable AI / ML tools and pipelines to support Dana-Farber operations, research, and clinical practice. The role operates in a matrixed team environment, collaborating with client-facing leads, software engineers, product managers, project managers, project sponsors, and clients. The Informatics & Analytics department serves patients, present and future, by collaboratively building a sustainable informatics and analytics ecosystem of tools and services to support and grow the Institute’s research, clinical, and business missions. The AIOS group provides services related to AI, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care.

Responsibilities

• Contribute to the development, deployment, and monitoring of AI solutions, supporting scalable and efficient practices to ensure reliable telemetry tracking, model performance monitoring, and cross-platform efficiency.
• Assist in implementing and maintaining data and machine learning solutions, helping to manage models throughout their lifecycle to ensure they are well-organized, auditable, and maintain high accuracy.
• Support the creation and maintenance of CI / CD pipelines for machine learning models in cloud environments, including workflows for batch, online, streaming, and edge training / inference.
• Elicit functional requirements from end users and data science teams, utilizing methods such as user interviews, mockups, wireframes, end-to-end testing, prototypes, GUI designs, and use cases.
• Provide updates on assigned tasks and project progress to multiple groups including the AIOS team, client-facing leads, project sponsors, business owners, and internal stakeholders.
• Work effectively as part of a team, contributing to shared goals and supporting the success of projects and initiatives.
• Bachelor’s degree in a related field (Computer Science, Data Science, Engineering) required; Master’s degree preferred.
• 1 year of work experience in machine learning and AI required. Relevant lab work and research projects, teaching assistantships, internships, or cooperative education programs undertaken during an advanced degree program may be considered toward qualifying work experience.
• Experience within a clinical or research environment preferred.

Knowledge, Skills, And Abilities

EEOC Statement

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

EEOC Poster

#J-18808-Ljbffr