Honeywell Connected Enterprise (HCE) is looking to solve complex industrial challenges and enable digital transformation initiatives by building and deploying advanced AI and machine learning models that create new business opportunities and deliver significant value.
Requirements
- Minimum of 2 years of full-time data science prototyping experience using Python and machine learning techniques in a commercial environment
- Minimum of 2 years of ML experience applied to processes, systems, and hardware in a commercial setup
- Minimum of 2 years of experience with distributed storage and compute tools such as Spark
- Minimum of 2 years of experience deploying ML models on cloud platforms including AWS, Azure, or GCP
- Minimum of 2 years of experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras
- Minimum of 2 years of experience designing and deploying production pipelines using containerized microservices or orchestrated batch processes
Responsibilities
- Develop, build, and deploy innovative AI/ML models to support business growth and operational efficiencies
- Recommend and implement data science solutions utilizing hypothesis testing, data acquisition strategies, and model validation techniques
- Contribute to defining and governing Honeywell’s analytics and AI/ML strategy, ensuring alignment with corporate goals
- Enhance the AI/ML capabilities of the Forge platform by integrating new models and tools
- Promote best practices in data science, model deployment, and MLOps across various teams and functions
- Collaborate with cross-functional teams including engineering, product management, and operations to deliver scalable solutions
- Support the deployment and monitoring of models in production environments, ensuring robustness and reliability
Other
- Bachelor’s degree in computer science, engineering, applied mathematics, or a related STEM field
- Preferred qualifications include a Master’s degree or PhD in a related STEM field
- Experience with MLOps best practices
- Familiarity with large language models (LLMs) and natural language processing
- Experience working with remote and global teams
