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Honeywell Senior Advanced AI Engineer 
United Kingdom, England, London 
75851653

24.04.2025
Key Responsibilities
  • Design and implement high-impact AI/ML models and workflows, 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.
  • Conduct thorough reviews of ML models for performance, bias, and drift, proposing corrective actions.
  • Integrate AI (including TimeSeries, Computer Vision, NLP, GenAI/RAG/Agentic AI) solutions into existing Honeywell products, maintaining rigorous code quality standards.
  • Mentor junior engineers, promoting best practices in model development and deployment.
Key Skills and Qualifications
  • Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field, with knowledge of Agile or similar software development methodologies; strong Python skills complemented by exposure to additional programming languages like Scala or Java.
  • Full-stack AI/ML experience encompassing all stages from data ingestion through model deployment and maintenance, supported by strong hands-on experience in developing and deploying ML models in production.
  • Strong analytical mindset focused on skeptical, data-driven decision-making, with a proven track record in advanced machine learning frameworks such as TensorFlow and PyTorch.
  • Familiarity with cloud platforms like AWS, Azure, or GCP for large-scale training and deployment of models, alongside demonstrated expertise in MLOps tools and best practices, including CI/CD, containerization, and orchestration.
  • Ability to effectively communicate technical concepts to both technical experts and laypersons, facilitating collaboration across diverse teams.
Our Offer
  • A culture that fosters inclusion, diversity, and innovation in an international work environment
  • Market specific training and ongoing personal development.
  • Experienced leaders to support your professional development
Additional Information
  • JOB ID: HRD261264
  • Category: Engineering
  • Location: 1 Windmill Lane,Dublin,DUBLIN,D02 F206,Ireland
  • Exempt