Staff AI Scientist

Wipro Enterprises; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

GE Healthcare in Bengaluru is seeking a Staff AI Scientist to advance cutting-edge medical imaging AI and translate research into scalable healthcare products. You will work with clinicians, statisticians, software engineers, and product managers to deploy robust, compliant AI systems.

PhD or strong research track record required, with expertise in deep learning, PyTorch/TensorFlow, and data governance. This role offers collaboration across global teams and opportunities for publications and

Qualifications

• PhD or equivalent practical experience with strong research.
• Publications in AI/ML or medical imaging.
• Ability to translate research into real-world clinically meaningful solutions.

Responsibilities

• Design, develop, and deploy deep learning models for medical image analysis across modalities.
• Leverage modern model architectures for data-efficient development.
• Explore foundation models and multimodal learning with imaging and clinical text.
• Develop robust research prototypes with rigorous evaluation and clinical relevance.
• Drive data-centric AI with dataset curation and bias analysis at scale.
• Collaborate with software and MLOps teams for production-ready AI systems.
• Contribute to documentation, publications, and knowledge sharing.

Skills

Deep learning

Medical imaging

PyTorch

TensorFlow

Model optimization

Foundation models

Multimodal AI

Experiment tracking

Regulatory knowledge

Data governance

Education

PhD in CS/EE/Biomedical eng

Publications in AI/ML imaging

Research track record

Tools

MONAI

SimpleITK

OpenCV

Job description

Job Description Summary

As a Staff AI Scientist, you will work at the forefront of state-of-the-art AI for medical imaging, contributing to commercially deployed solutions that leverage recent advances in deep learning, foundation models, and multimodal AI. You will collaborate within cross-functional teams comprising AI scientists, clinicians, statisticians, software engineers, and product managers to translate cutting-edge research into scalable healthcare products.

GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Job Description

Roles and Responsibilities

As a Staff AI Scientist, you will be part of a AI science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE HealthCare business units.

• Design, develop, and deploy advanced deep learning models for medical image analysis, including detection, segmentation, classification, and quantification tasks across diverse imaging modalities.
• Leverage and adapt modern model architectures for data-efficient model development.
• Explore and integrate foundation models and multimodal learning approaches that combine imaging with clinical text, reports, and metadata.
• Develop robust research prototypes with strong experimental rigor, evaluation metrics, and clinical relevance, under minimal supervision.
• Drive data-centric AI practices, including dataset curation, quality assessment, bias analysis, and annotation strategies at scale.
• Collaborate closely with software and MLOps teams to enable production-ready, scalable, and compliant AI systems.
• Contribute to technical documentation, publications, patents, and knowledge sharing across the organization.
• Stay continuously abreast of emerging AI trends in medical imaging, regulatory expectations, and real-world clinical deployment challenges.

Educational Qualifications

• PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, or equivalent practical experience with a strong research track record.
• Publications in leading conferences, journals, or reputable public repositories in AI/ML or medical imaging.
• Demonstrated ability to translate research innovations into clinically meaningful, real-world solutions.

Technical Expertise

• Strong experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow) and model optimization techniques.
• Hands-on expertise in medical image processing using libraries such as SimpleITK, MONAI, OpenCV, and related tools.
• Familiarity with self-supervised learning, transfer learning, foundation models, and multimodal AI applied to healthcare data.
• Experience with experiment tracking, model versioning, and reproducibility best practices.
• Working knowledge of data governance, privacy-preserving AI, and regulatory considerations in healthcare AI.

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you d expect from an organization with global strength and scale, and you ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

#EveryRoleIsVital

#LI-SM1

Additional Information

Relocation Assistance Provided: Yes