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AI Engr I at Honeywell

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine learning, Deep learning, Python, TensorFlow, PyTorch, Agile development, Problem-solving, AI algorithms, Data modeling, Software integration

Industry

Automation Machinery Manufacturing

Description

As an AI Engr I here at Honeywell, you will be responsible for supporting the design, development, and implementation of AI solutions. You will work closely with senior AI engineers and cross-functional teams to contribute to innovative projects that address business challenges and drive technological advancements. In this role, you will impact the development of AI algorithms and models, contributing to the integration of AI solutions into existing systems and processes. Your work will support the continuous improvement of AI technologies and help drive Honeywell's commitment to innovation. 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

You will support the design, development, and implementation of AI solutions while collaborating with senior engineers and cross-functional teams. Your work will contribute to the integration of AI models into existing systems to drive technological innovation.