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AI Engr II at Honeywell

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

22 May, 26

Salary

0.0

Posted On

21 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Algorithm Development, Model Implementation, System Integration, Scalability, Efficiency, Robustness, Python, TensorFlow, PyTorch, Agile Development, Problem-Solving

Industry

electrical;Appliances;and Electronics Manufacturing

Description

As an AI Engr II here at Honeywell, you will be responsible for developing and implementing AI algorithms, models, and systems to solve complex business problems. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and processes, ensuring scalability, efficiency, and robustness. In this role, you will impact the development and deployment of advanced AI solutions, contributing to Honeywell's commitment to innovation and cutting-edge technology. This position will play a key role in driving technical excellence within the organization and shaping the future of AI technology at Honeywell. 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

The AI Engineer II will be responsible for developing and implementing AI algorithms, models, and systems to address complex business challenges. This involves collaborating with cross-functional teams to integrate these AI solutions into existing systems, ensuring they are scalable, efficient, and robust.