Advanced AI Engr

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. Lets 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.

YOU MUST HAVE

• Bachelor s degree from an accredited institution in Computer science, AI, Electronics, Electrical, Mathematics or related fields.
• 5+ years building and deploying production-grade ML models.
• Expertise in designing and training advanced DNNs for Computer Vision and GenAI.
• Applied experience with Transformers, CNNs, GANs, and Diffusion Models.
• Mastery of Python, PyTorch, and TensorFlow.
• Skilled in key libraries: Hugging Face (Transformers, Diffusers), OpenCV, LangChain, LangGraph.
• Hands-on with MLOps tools: MLflow, Docker, Kubernetes.
• Proficient with cloud AI services on AWS, GCP, or Azure.
• Experience with high-performance inference optimization using frameworks like NVIDIA TensorRT, ONNX Runtime, or OpenVINO to accelerate model deployment is a plus.

WE VALUE

• Advanced degrees in Computer Science (CS), AI, Electronics and/or Electrical Engineering (EE), Mechanical Engineering (ME), or related fields
• Strong leadership and management skills
• Experience working in an agile development environment.
• Proven ability to drive successful cloud development projects and initiatives.
• Ability to work in a fast-paced and dynamic environment.
• Attention to detail and excellent problem-solving capability.
• Ability to solve complex problems from first principles.
• Clear communication of technical ideas to any audience.
• A collaborative mindset that elevates the entire team.

YOU MUST HAVE

• Bachelor s degree from an accredited institution in Computer science, AI, Electronics, Electrical, Mathematics or related fields.
• 5+ years building and deploying production-grade ML models.
• Expertise in designing and training advanced DNNs for Computer Vision and GenAI.
• Applied experience with Transformers, CNNs, GANs, and Diffusion Models.
• Mastery of Python, PyTorch, and TensorFlow.
• Skilled in key libraries: Hugging Face (Transformers, Diffusers), OpenCV, LangChain, LangGraph.
• Hands-on with MLOps tools: MLflow, Docker, Kubernetes.
• Proficient with cloud AI services on AWS, GCP, or Azure.
• Experience with high-performance inference optimization using frameworks like NVIDIA TensorRT, ONNX Runtime, or OpenVINO to accelerate model deployment is a plus.

WE VALUE

• Advanced degrees in Computer Science (CS), AI, Electronics and/or Electrical Engineering (EE), Mechanical Engineering (ME), or related fields
• Strong leadership and management skills
• Experience working in an agile development environment.
• Proven ability to drive successful cloud development projects and initiatives.
• Ability to work in a fast-paced and dynamic environment.
• Attention to detail and excellent problem-solving capability.
• Ability to solve complex problems from first principles.
• Clear communication of technical ideas to any audience.
• A collaborative mindset that elevates the entire team.

Key Responsibilities

• Lead the development of complex AI solutions to address specific business needs, ensuring scalability, efficiency, and robustness.
• Collaborate with cross functional teams to integrate AI solutions seamlessly into existing systems and processes.
• Work directly with product managers and business leaders to understand requirements and align AI initiatives with overall business objectives.
• Lead the end-to-end AI development lifecycle, including project planning, resource allocation, and monitoring progress.
• Provide mentorship and guidance to AI engineers, fostering a culture of continuous learning, innovation , and technical excellence.

Key Responsibilities

• Lead the development of complex AI solutions to address specific business needs, ensuring scalability, efficiency, and robustness.
• Collaborate with cross functional teams to integrate AI solutions seamlessly into existing systems and processes.
• Work directly with product managers and business leaders to understand requirements and align AI initiatives with overall business objectives.
• Lead the end-to-end AI development lifecycle, including project planning, resource allocation, and monitoring progress.
• Provide mentorship and guidance to AI engineers, fostering a culture of continuous learning, innovation , and technical excellence.