Honeywell Connected Enterprise (HCE) is looking to solve complex business challenges across various industries by designing, developing, and implementing data-driven AI/ML solutions. The goal is to enhance operational efficiency, drive digital transformation, and generate new business growth through innovative software solutions powered by AI, IoT, and data analytics.
Requirements
- Bachelor’s degree in computer science, Engineering, Applied Mathematics or related STEM field
- Minimum of 2 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial setup.
- Minimum of 2 years of full time Machine Learning experience applied on top of processes, systems, and hardware in a commercial setup.
- Minimum of 2 years of experience with distributed storage and compute tools (e.g. Spark)
- Minimum of 2 years' experience developing and deploying machine learning models on cloud platforms (e.g. AWS, Azure, GCP etc.)
- Minimum of 2 years' experience in deep learning frameworks like PyTorch, Tensorflow, Keras
- Minimum of 2 years' experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs
Responsibilities
- Build and deploy innovative AI/ML models and solutions that generate new business growth and value.
- Recommend innovative solutions by using various data science methods including hypothesis testing.
- Define the data acquisition strategy when required.
- Actively participate in defining and governing our analytics strategy for Honeywell, building out AI/ML capabilities of our Forge platform.
- Promote data science methods and processes across functions.
- Design, build models, and deploy pipelines to production using containerized microservices and/or orchestrated batch runs.
- Develop and deploy machine learning models on cloud platforms.
Other
- Bachelor’s degree in computer science, Engineering, Applied Mathematics or related STEM field
- Master's degree in computer science, Engineering, Applied Mathematics or related STEM field
- PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field
- Experience with MLOPS best practices and implementations
- Experience with LLM and Natural Language Processing models
