Job 141224

Honeywell

Not specified (assumed to be hybrid based on industry standards for similar roles).
Design and implement ai/ml models
Mlops pipelines
Model performance and bias reviews
Honeywell is seeking an Advanced AI Engineer to design and implement AI/ML solutions that enhance the company's products. The role focuses on creating scalable models and workflows, collaborating with diverse teams, and mentoring junior engineers

Job Summary

  • You will be a driving force in designing, developing, and deploying end-to-end AI/ML solutions aimed at bringing autonomous capabilities to Honeywell products over the next decade.
  • You will operate as a hands-on technical leader, working on everything from data pipelines to model optimization and drift detection, while mentoring junior team members to build a truly full-stack AI/ML practice.
  • 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 an Advanced AI Engineer to design and implement AI/ML solutions that enhance the company's products. The role focuses on creating scalable models and workflows, collaborating with diverse teams, and mentoring junior engineers.

Skills & Requirements

Must-have

  • design and implement AI/ML models
  • MLOps pipelines
  • model performance and bias reviews
  • integrate AI solutions into products
  • Python and Spark/Databricks
  • cloud platforms (AWS, Azure, GCP)

Nice-to-have

  • mentoring junior engineers
  • Agile software development methodologies
  • Scala and Java exposure

Key Requirements

  • Bachelor’s or Master’s degree
  • 6+ years of hands-on experience
  • advanced machine learning frameworks
  • MLOps tools and best practices
  • Full-stack AI/ML experience

Work Rights

Not specified

Tailored Resume

Cover Letter