What you'll be doing:Collaborate with colleagues across multiple function groups (Data Science, Data Engineering, domain experts) on unique challenges across different business units of Honeywell.Develop complicated, scalable and robust analytics solutions to solve business problems.Leverage distributed training systems to build scalable machine learning pipelines for model training and deployments in IT/OT Products space.Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks. Ensure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design quality and monitoring.Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks. YOU MUST HAVEMS or Ph.D. in Computer Science, Electrical Engineering, or STEM related fields.3+ years of industry experience with Python in a programming intensive role.3+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, deep learning.3+ years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.3+ years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.).3+ years of industry experience with major cloud computing services (AWS, Azure, etc)Prior experience in building data products and established a track record of innovation. An effective communicator – you shall be an ambassador of Honeywell AI initiatives and have the ability to explain technical concepts to a non-technical audience. WE VALUEProficient Python/PySpark coding experienceProficient in containerization servicesProficient in stacks to deploy the models like Azure ML, Databricks etc.Proficient in DatabricksProficient in storage solutions such as Postgres SQL, Delta Table etcProficient in CICD framework.U.S. PERSON REQUIREMENTSDue to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorizationHoneywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.