Sr.Manager - AI/ML

Stryker; Bengaluru; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Stryker is seeking a visionary Technical Manager in Bengaluru, India, to lead its AI engineering team. The ideal candidate will have over 15 years of experience in software engineering with 5 years of leadership in AI/ML teams. You will drive development and deployment of AI models focusing on medical imaging applications, including CT and MRI.

This role requires advanced technical skills in deep learning, experience with medical imaging data, and strong communication abilities to collaborate with technical and medical experts.

Qualifications

• 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 contributions in AI/ML through publications or patents.

Responsibilities

• Lead AI model development and production deployment.
• Evaluate and implement AI frameworks, tools, and cloud methodologies.
• Oversee training and optimization of deep learning models for imaging.

Skills

AI model development

Deep Learning

Machine Learning

Clinical workflow integration

Education

Master's or Ph.D. in Computer Science, Biomedical Engineering or related field

Tools

Docker

Kubernetes

PyTorch

TensorFlow

Job description

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, 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:

This role requires the following qualifications.

Required Qualifications:

• Master’s 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, and 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.

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. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.