Imaging AI Data Science Expert
Position: Imaging AI Data Science Expert
Contract Duration: -6 Months
Experience: - 10+ Years experience
Location (Onsite): -San Jose, CA OR Waukesha, WI OR Toronto, Canada
Key Responsibilities
AI Model Development & Optimization:
- Design, train, and fine-tune imaging AI models using MONAI Core, MONAI Label, and MONAI Deploy.
- Explore and implement cost-effective algorithms for tasks such as image segmentation, classification, registration, and multimodal data analysis.
- Leverage pre-trained models from the MONAI Model Zoo and customize them for specific healthcare use cases.
Multimodal Integration:
- Develop multimodal AI solutions integrating imaging data with textual or structured data using frameworks like MONAI Multi-Modal and VLM-Radiology-Agent-Framework.
- Utilize advanced techniques such as cross-modal attention to enhance model performance on multimodal datasets.
Healthcare-Specific Applications:
- Apply imaging AI models to solve real-world healthcare challenges, including radiological diagnosis support, quality checks, segmentation, classification etc.
- Ensure compliance with healthcare standards while handling sensitive medical data.
Performance Optimization:
- Optimize training pipelines for GPU acceleration using tools like DLProf, Nsight, NVTX, and distributed data-parallel APIs.
- Benchmark algorithms for efficiency and scalability on cloud platforms like AWS or Azure.
Collaboration & Leadership:
- Collaborate with clinicians, radiologists, and interdisciplinary teams to define project requirements and deliver impactful solutions.
- Provide mentorship to junior team members and lead technical discussions on imaging AI advancements.
Qualifications
- Education: Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Biomedical Engineering, or a related field
Experience:
- Minimum of 10+ years of experience in machine learning or data science roles with a focus on medical imaging AI.
- Proven expertise in deploying production-grade imaging AI solutions using MONAI frameworks.
- Experience in healthcare or medical devices is highly preferred.
Technical Skills:
- Proficiency in Python and deep learning libraries (e.g., PyTorch).
- Hands-on experience with MONAI Core, MONAI Label, MONAI Deploy, and VLM-Radiology-Agent-Framework.
- Familiarity with cloud platforms (AWS SageMaker or Azure ML) for scalable model deployment.
Domain Knowledge:
- Strong understanding of medical imaging modalities (e.g., MRI, CT) and radiological workflows.
- Knowledge of healthcare regulations (e.g., HIPAA) and standards is a plus.
Soft Skills:
- Excellent problem-solving skills with a focus on optimizing models for real-world constraints.
- Strong communication skills to present findings to both technical and non-technical stakeholders.
PSRTEK is a reputed technology recruitment and IT staffing brand with a global footprint and an admired client base. As an ideas and innovation powerhouse with a culture of excellence, we bring remarkable expertise and deliver powerfully transformative results.
Position: Imaging AI Data Science Expert
Contract Duration: -6 Months
Experience: - 10+ Years experience
Location (Onsite): -San Jose, CA OR Waukesha, WI OR Toronto, Canada
Key Responsibilities
AI Model Development & Optimization:
- Design, train, and fine-tune imaging AI models using MONAI Core, MONAI Label, and MONAI Deploy.
- Explore and implement cost-effective algorithms for tasks such as image segmentation, classification, registration, and multimodal data analysis.
- Leverage pre-trained models from the MONAI Model Zoo and customize them for specific healthcare use cases.
Multimodal Integration:
- Develop multimodal AI solutions integrating imaging data with textual or structured data using frameworks like MONAI Multi-Modal and VLM-Radiology-Agent-Framework.
- Utilize advanced techniques such as cross-modal attention to enhance model performance on multimodal datasets.
Healthcare-Specific Applications:
- Apply imaging AI models to solve real-world healthcare challenges, including radiological diagnosis support, quality checks, segmentation, classification etc.
- Ensure compliance with healthcare standards while handling sensitive medical data.
Performance Optimization:
- Optimize training pipelines for GPU acceleration using tools like DLProf, Nsight, NVTX, and distributed data-parallel APIs.
- Benchmark algorithms for efficiency and scalability on cloud platforms like AWS or Azure.
Collaboration & Leadership:
- Collaborate with clinicians, radiologists, and interdisciplinary teams to define project requirements and deliver impactful solutions.
- Provide mentorship to junior team members and lead technical discussions on imaging AI advancements.
Qualifications
- Education: Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Biomedical Engineering, or a related field
Experience:
- Minimum of 10+ years of experience in machine learning or data science roles with a focus on medical imaging AI.
- Proven expertise in deploying production-grade imaging AI solutions using MONAI frameworks.
- Experience in healthcare or medical devices is highly preferred.
Technical Skills:
- Proficiency in Python and deep learning libraries (e.g., PyTorch).
- Hands-on experience with MONAI Core, MONAI Label, MONAI Deploy, and VLM-Radiology-Agent-Framework.
- Familiarity with cloud platforms (AWS SageMaker or Azure ML) for scalable model deployment.
Domain Knowledge:
- Strong understanding of medical imaging modalities (e.g., MRI, CT) and radiological workflows.
- Knowledge of healthcare regulations (e.g., HIPAA) and standards is a plus.
Soft Skills:
- Excellent problem-solving skills with a focus on optimizing models for real-world constraints.
- Strong communication skills to present findings to both technical and non-technical stakeholders.
PSRTEK is a reputed technology recruitment and IT staffing brand with a global footprint and an admired client base. As an ideas and innovation powerhouse with a culture of excellence, we bring remarkable expertise and deliver powerfully transformative results.