Advanced AI Engr at Honeywell
Bengaluru, karnataka, India -
Full Time


Start Date

Immediate

Expiry Date

09 Sep, 26

Salary

0.0

Posted On

11 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AI Algorithms, Machine Learning, Python, TensorFlow, PyTorch, Cloud Development, Agile Development, Technical Leadership, Problem Solving, Project Management

Industry

Automation Machinery Manufacturing

Description
As an Advanced AI Engineer here at Honeywell, you will provide expert-level technical leadership in the design and development of AI algorithms, models, and systems. You will be responsible for acting as the subject matter expert for technical AI projects and provide direction on exploring and implementing methodologies and best practices. In this role, you will impact critical AI initiatives and drive technical excellence within the organization. This is a unique opportunity to play a key role in shaping the future of AI technology within a company known for its commitment to excellence. Let's shape the future together!At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
Responsibilities
Provide expert technical leadership in the design and development of AI algorithms, models, and systems. Act as a subject matter expert to drive technical excellence and implement AI best practices across the organization.
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