Job 144502

Honeywell

Not specified
Data engineering & ml ops
Production-grade models
Python and ml libraries
Honeywell is seeking a Data Engineer with over 6 years of experience in Data Engineering and ML Ops to lead the development of AI solutions. The ideal candidate should possess strong proficiency in Python, experience with various machine learning techniques, and familiarity with cloud platforms and MLOps tools

Job Summary

  • Lead development of AI solutions using supervised, unsupervised, and reinforcement learning techniques.
  • Optimize model performance, latency, and resource utilization for production-grade deployments.
  • Collaborate with data scientists, software engineers, and product teams to translate business requirements into intelligent systems.

Matching Summary

Match Score: 85

Honeywell is seeking a Data Engineer with over 6 years of experience in Data Engineering and ML Ops to lead the development of AI solutions. The ideal candidate should possess strong proficiency in Python, experience with various machine learning techniques, and familiarity with cloud platforms and MLOps tools.

Skills & Requirements

Must-have

  • Data Engineering & ML OPS
  • production-grade models
  • Python and ML libraries
  • MLOps tools
  • cloud platforms
  • big data ecosystems

Nice-to-have

  • model interpretability and explainability
  • Responsible AI principles
  • edge AI deployment
  • graph-based ML
  • cross-functional teams

Key Requirements

  • 6+ years of experience
  • Proficiency in SQL and NoSQL databases
  • Understanding of CI/CD pipelines
  • Familiarity with edge AI deployment

Work Rights

Not specified

Tailored Resume

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