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Machine Learning Engineer and Developer - Washington - beBee Careers ID- 12229

Description

**Transforming Healthcare through Data Science and Engineering**

We are seeking an experienced Full Stack Data Scientist to join our team of passionate professionals who thrive in a collaborative environment. As a key member of our AI CoE, you will contribute to developing innovative solutions by leveraging cutting-edge technology and data insights to drive transformative change.

Key Responsibilities:

  • Develop and deploy ML models for various applications including forecasting, classification, and categorization systems.
  • Develop, integrate, and maintain GenAI solutions by exploring and implementing GenAI technologies like LLMs.
  • Build user-facing applications using modern front-end frameworks to showcase and interact with your ML/GenAI solutions.
  • Construct robust APIs to integrate your ML models or GenAI solutions with other applications and systems.
  • Ensure scalability and performance by designing and implementing solutions for ML and GenAI applications.

Requirements:

  • Bachelor's degree in mathematics, statistics, engineering, computer science, or a related field is preferred.
  • At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role is preferred.
  • Experience with HTML, CSS3, JavaScript, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL, Docker, Kubernetes, Airflow, Git, and CI/CD pipelines is required.
  • Knowledge of clinical domain and datasets is preferred.
  • Experience with DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD pipelines using Concourse is required.
  • Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes for scalable and efficient model deployment is required.

About the Role:

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