Machine Learning Engineer

About the job

Fast-growing AI company is seeking highly-qualified scientists and engineers with experience in ML (Machine Learning), DL (Deep Learning) and Computer Vision to address real-world challenges in the Health Care industry. If you have a successful track record in software development, knowledge of current software technologies and methodologies, and excellent communication and interpersonal skills, we want to talk with you.

Desired skills:

• Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, or Keras
• Experience with medical image segmentation, particularly medical/dental radiographs
• Strong background in image and data processing: noise removal, data augmentation, dataset truthing and construction
• Expertise in managing, visualizing, and processing large-scale image datasets
• Comfortable working within a team as well as heading up your own research initiatives
• Experience optimizing and deploying models into production (e.g. ONNX, BentoML, or similar)

Responsibilities may include:

• Understand business objectives and develop models that help to achieve them, along with metrics to track progress
• Select and evaluate DL algorithms suitable for complex segmentation or classification tasks
• Analyze and preprocess image data to ensure quality and suitability for modeling
• Define validation strategies to identify and address potential biases or data issues that could negatively impact model generalization
• Train models and fine-tune hyperparameters to optimize performance and throughput

Why work for NovoDynamics?

• Be part of a dynamic team that designs disruptive technologies for the Health Care industry
• Receive great compensation and benefits
• Work in downtown Ann Arbor near the University of Michigan campus
• Enjoy free parking, popcorn, coffee, tea and soft drinks
• Delight in an amazing work environment with interesting and engaged teammates
• Relax with generous and flexible time off