
AI/ML Engineer
Global-Talent-Exchange
Required Skills:
Machine Learning
AIF
Python
Deep Learning
Pytorch
Google TensorFlow
Algorithm Optimization
Mock Data Structures
Signal Processing
Image Processing
Generative Models
Machine Learning
AI
Python
Deep Learning
PyTorch
TensorFlow
Algorithm Optimization
Data Structures
Signal Processing
Image Processing
Generative Models
Job Title: AI/ML Engineer
We are seeking an AI/ML Engineer to develop innovative AI solutions for our cutting-edge technology. In this role, you will tackle complex machine learning challenges, contribute to groundbreaking research, and help redefine the future of medical diagnostics.
Responsibilities
- Develop and train multi-task ML models for stroke detection using RF-derived features, including binary and multi-class classification as well as auxiliary prediction tasks.
- Build generative models (GANs, diffusion models, VAEs) for diagnostic image generation and visualization.
- Optimize models for real-time inference and deployment constraints.
- Collaborate with DSP engineers to understand signal characteristics and refine feature pipelines.
- Evaluate model performance and iterate on architectures based on clinical validation data.
- Support integration of models into production medical device software.
- Participate in weekly technical meetings to showcase progress, pitch new ideas, and brainstorm solutions to existing issues.
Required Qualifications
- M.S. in Computer Science, Electrical Engineering, or related field, or 5+ years of industry experience in machine learning.
- Experience with generative models (diffusion models, VAEs, or encoder-decoder architectures) applied to 2D/3D data.
- Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
- Strong foundation in algorithm optimization and data structures.
Preferred Qualifications
- Signal or image processing background, particularly with radar, microwave, or compressed sensing techniques.
- Experience with multimodal models or cross-modal generation.
- Prior work optimizing models for GPU or edge deployment.
- Familiarity with medical device regulatory standards and a clear understanding of the application of AI technologies within FDA-regulated environments.
- Experience in medical device or healthcare technology companies.
Compensation Structure
This role begins with a 3-6 month contract phase at $4,000-$7,000/month to establish mutual fit. Upon conversion to full-time employment, salary range is $100,000-$120,000 plus equity, based on experience. Full-time benefits include health insurance (medical, dental, vision) and performance bonuses.
About Company

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