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AIML
Job Location:
Monthly Salary:
Posted:
11 July 2026 (30+ days ago)
Posted:
Application Deadline:
8 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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 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 and longitudinal change analysis
- CNNs Transformers U-Net variants nnU-Net and 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:-
- Masters or Ph.D. in Computer Science Biomedical Engineering or 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 and 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.
Required Experience:
Manager
About Company
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongsid ... View more
