Senior Machine Learning Engineer

4 weeks ago

Palo Alto, California, United States Qualified Health Full time
Job Description

At Qualified Health, we are seeking a highly skilled Senior Machine Learning Engineer to lead our technical team in developing and deploying scalable AI solutions for healthcare applications. This role is ideal for someone with a deep understanding of deploying AI systems and a track record of innovation and excellence in a high-stakes environment.

Key Responsibilities:

  • Architect and manage our ML infrastructure to ensure scalability and robustness of AI solutions.
  • Drive the adoption of best practices in machine learning operations (MLOps) to automate model training, deployment, and monitoring.
  • Collaborate with cross-functional teams to align technical solutions with business goals.
  • Assist in the design, development, and deployment of machine learning models tailored to healthcare applications.
  • Mentor junior engineers and team members, providing technical leadership and guidance.

Required Qualifications:

  • Master's or PhD in Computer Science, Engineering, Machine Learning, or related field.
  • At least 5 years of experience in designing and deploying machine learning models at scale.
  • Proven experience with ML infrastructure and cloud services used for large-scale data processing and model deployment.
  • Strong background in MLOps practices including continuous integration, continuous delivery (CI/CD), and automated testing of machine learning models.
  • Prior technical leadership experience with a proven track record of successful project delivery.

What We Offer:

  • Competitive startup salary and equity packages.
  • Health, dental, and vision insurance.
  • Flexible working hours and hybrid work options.
  • An opportunity to be at the forefront of AI in healthcare, making substantial impacts on patient care and outcomes.

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