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ML Engineer - MLOps - Medical Imaging

Discover International

United States

Remote

USD 100,000 - 720,000

Full time

4 days ago
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Job summary

Discover International is seeking a talented Machine Learning Engineer to design, develop, and optimize subsystems for AI-driven healthcare solutions. The ideal candidate will work closely with cross-functional teams to deploy high-impact ML models in production, significantly improving patient outcomes in neurology and oncology.

Benefits

Medical insurance
Vision insurance

Qualifications

  • 3+ years of experience in machine learning.
  • Experience in MLOps and DataOps.
  • Knowledge of medical imaging data standards is a plus.

Responsibilities

  • Design and implement MLOps and DataOps pipelines.
  • Collaborate with data scientists for model training.
  • Monitor and improve model performance in production.

Skills

Python
MLOps
DataOps
Deep Learning
TensorFlow
PyTorch
Scikit-learn
Data Preprocessing

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning

Tools

AWS
Docker
AWS ECS

Job description

Direct message the job poster from Discover International

Practice Director at Discover International - AI/ML - Computational Science & Technology - Biotech & Digital Healthcare | Healthcare with AI |…

Full-Time (Remote)

My client is an AI-driven healthcare solutions company, specializing in advanced medical imaging applications for neurology and oncology. Their mission is to transform patient outcomes by

creating innovative, reliable, and highly scalable imaging AI software solutions.

Job Summary:

They're seeking a talented and driven Machine Learning Engineer to help design, develop, and

implement MLOps and DataOps pipelines, as well as train and optimize deep learning models for their AI/ML applications.

You will work closely with cross-functional teams, contributing to both operational and research-focused aspects of our AI solutions. This role is ideal for someone passionate about deploying robust machine learning pipelines in production and scaling high-impact, cloud-based

solutions.

Key Responsibilities:

  • Design and implement efficient MLOps and DataOps pipelines and infrastructure to automate

model training, validation, deployment, and monitoring.

  • Work with data scientists and engineers to prepare large, complex datasets for model training

and validation.

  • Train, fine-tune, and optimize deep learning models for medical imaging applications.
  • Collaborate with DevOps to ensure robust CI/CD processes for ML model deployment and

seamless integration into our cloud platform.

  • Monitor, troubleshoot, and improve model performance in production, using A/B testing, error analysis, and performance tuning.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a

related field.

  • 3+ years of experience in machine learning, preferably with a focus on MLOps, DataOps, and

deep learning models.

  • Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience building and maintaining MLOps pipelines on cloud platforms (AWS experience

preferred).

  • Strong background in data preprocessing, model training, and deployment.
  • Familiarity with containerization and orchestration tools (Docker, AWS ECS).
  • Knowledge of CI/CD and DevOps best practices in ML model deployment.
  • Experience with medical imaging data standards (DICOM) is a plus.

To apply please contact Sam Shinner at Discover International

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Manufacturing
  • Industries
    Medical Equipment Manufacturing and Hospitals and Health Care

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Medical insurance

Vision insurance

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