Honeywell is seeking a Full-Stack AI/ML Engineer with experience in developing and deploying machine learning models, focusing on cloud platforms and MLOps. The ideal candidate will possess strong analytical skills, a solid foundation in AI/ML frameworks, and the ability to communicate technical concepts effectively
Job Summary
Design and implement high-impact AI/ML models and workflows, ability to work on Cloud architectures and build solutions, ensuring scalability and reliability on cloud platforms such as Databricks, VertexAI, etc.
Collaborate with cross-functional teams (Data Engineering, ML Engineering, DevOps) to create holistic MLOps pipelines, leveraging frameworks such as MLflow and Kubeflow.
Integrate AI (including TimeSeries, Computer Vision, NLP, GenAI/RAG/Agentic AI) solutions into existing Honeywell products, maintaining rigorous code quality standards.
Matching Summary
Match Score: 85
Honeywell is seeking a Full-Stack AI/ML Engineer with experience in developing and deploying machine learning models, focusing on cloud platforms and MLOps. The ideal candidate will possess strong analytical skills, a solid foundation in AI/ML frameworks, and the ability to communicate technical concepts effectively.