Senior AI Scientist

Posted 2 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka
Entry level
Artificial Intelligence • Healthtech • Analytics • Biotech
The Role
The Senior AI Scientist will work in teams developing AI models for Healthcare applications in a commercial research and development environment. Responsibilities include developing AI models, research prototypes, data quality assessment, collaborating with software developers, and sharing findings with the team.
Summary Generated by Built In

Job Description SummaryThe Senior AI Scientist will work in teams developing AI models for Healthcare applications in a commercial research and development environment. In this role, you will contribute to the development and deployment of modern AI/ML methods for analyzing data (Images, Language, Multi-modality etc.) from the Healthcare domain.

Job Description

Roles and Responsibilities

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


In this role, you will:
• Develop AI models that address customer needs and opportunities.

• Develop research prototypes (with data understanding and appropriate evaluation metrics) under minimal guidance in a team setting

• Work on data quality assessment, data cleansing and data analytics
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
• Work in technical teams in research, development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
• Share and discuss findings with team members.

 

Education Qualification

• PhD degree in Computer Science, a related field, or equivalent practical experience with a demonstrable track record of expertise in AI topics (Vision, Language, Multi-modality fusion etc.)

• One or more scientific publication(s) in conferences, journals, or public repositories.


Technical Expertise:

• 2 years of coding experience.

• Demonstrated awareness of data management methods
• Demonstrated awareness of real-time analytics development and deployment
Domain Knowledge:
• Demonstrated awareness of AI technology trends (Vision, Language, Multi-modality fusion etc.) applicable to the Healthcare domain

• Demonstrated awareness of customer and stakeholder management and business metrics
Leadership:
• Demonstrated skill at function in a team setting
• Demonstrated awareness of critical thinking and problem solving methods
• Demonstrated awareness of presentation and influencing skills
Personal Attributes:
• Demonstrated awareness of how to succeed in ambiguous circumstances

 

Note

This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.

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Additional Information

Relocation Assistance Provided: Yes

Top Skills

Python
TensorFlow
The Company
Chicago, IL
50,282 Employees
On-site Workplace
Year Founded: 1892

What We Do

Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence.

As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform.

With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world.

We embrace a culture of respect, transparency, integrity and diversity.

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