Sr.Manager - AI/ML
Stryker•16h ago
Bengaluru, IndiaHybridFull-timeManager Level15+ yrs exp
Work Flexibility: Hybrid Position Overview We are seeking a visionary Technical Manager with 15+ years of overall experience to lead our AI engineering team. You must bring 5 years of dedicated experience managing, mentoring, and scaling technical teams.
In this role, you will drive the development, training, and deployment of cutting-edge AI models, with a specific focus on medical imaging applications. This role balances technical architecture, hands-on modeling strategy, and people leadership
What You Will Do
- Lead the end-to-end strategy for AI model development and production deployment.
- Evaluate and implement emerging AI frameworks, tools, and cloud methodologies.
- Oversee the training and optimization of deep learning models for imaging computer vision.
- Guide the team in handling 2D/3D medical modalities like MRI, CT, X-ray, and Ultrasound.
- Deep knowledge of deep learning for segmentation, detection, classification, registration, reconstruction
- longitudinal change analysis CNNs, Transformers, U-Net variants, nnU-Net
- foundation/self-supervised models for imaging.
- Architect robust MLOps pipelines for continuous model monitoring, testing, and deployment.
- Optimize models for cloud, edge, and clinical environment hardware constraints.
- What you need: Required Qualifications:- Master’s or Ph.D. in Computer Science, Biomedical Engineering
- a related field. 15+ years of experience in software engineering and data science. 5 years of direct experience managing and leading technical AI/ML teams.
- Strong research background with demonstrated contributions in AI/ML through publications, patents, applied research, industrial innovation, or equivalent scientific work.
- Deep knowledge of Machine Learning, Deep Learning, Natural Language Processing, Generative AI, Large Language Models, Agentic AI / AI Agents Proven experience developing advanced AI models from research through implementation and evaluation.
- Technical Skills Core AI : Deep understanding of CNNs, Transformers, segmentation, and object detection.
- Imaging Libraries : Expertise in DICOM, NIfTI, ITK, Monai, OpenCV, and PyTorch/TensorFlow.
- MLOps : Hands-on experience with Docker, Kubernetes, Triton, AWS, GCP, or Azure ML.
- Data Handling : Experience with medical data de-identification, curation, and active learning.
- Preferred Strong communication skills to bridge the gap between technical teams and medical experts.
- Proven track record working with medical imaging data and clinical workflows.
- Knowledge of clinical workflow integration: PACS/RIS/VNA, DICOM networking, study routing
- integration with hospital IT systems Designed scalable infrastructure for processing high-resolution medical imaging datasets.
- Ensured compliance with medical software standards, data privacy, and security protocols.
- Travel Percentage: None
Required skills
Machine LearningDeep LearningNatural Language ProcessingGenerative AILarge Language ModelsCNNsTransformersDICOMNIfTIITKMonaiOpenCVPyTorchTensorFlowDocker