As a Senior Advanced AI Engineer at Honeywell, you will be a driving force in designing, developing, and deploying end-to-end cloud and 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
Responsibilities- 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.
- 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.
- Bachelor’s or Master’s degree in Computer Science, AI, or related technical field.
- 6+ years of hands-on experience developing and deploying ML models in production.
- Proven track record in advanced machine learning frameworks (e.g., TensorFlow, PyTorch).
- Demonstrated expertise in MLOps tools and best practices (CI/CD, containerization, orchestration).
- Strong Python skills, with exposure to additional languages (Scala, Java), considered a plus.
Preferred Competencies
- Full-stack AI/ML experience (data ingestion through model deployment and maintenance).
- Strong analytical mindset with a bias towards skeptical, data-driven decision-making.
- Familiarity with cloud platforms (AWS, Azure, or GCP) for large-scale training and deployment.
- Ability to communicate technical concepts to both experts and laypersons.
- Knowledge of Agile or similar software development methodologies.
Skills Required
- Bachelor's or Master's degree in Computer Science, AI, or related field
- 6+ years of hands-on experience developing and deploying ML models in production
- Proven track record in advanced machine learning frameworks
- Demonstrated expertise in MLOps tools and best practices
- Strong Python skills
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
-
Retirement Support — Retirement plans feature a notably strong company 401(k) match with vesting after three years, enhancing long-term savings security. Additional tax-advantaged accounts and company contributions for eligible earners further strengthen financial preparedness.
-
Leave & Time Off Breadth — Time off policies include flexible or unlimited vacation for many salaried roles and a broad observed-holiday schedule, providing manager-approved flexibility. This structure supports rest and work-life balance across varied needs.
-
Parental & Family Support — Parental leave offers paid time for birth, adoption, or foster care that can be taken consecutively or intermittently. The design enables practical flexibility in how family leave is used.
Honeywell Insights
What We Do
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.
