Honeywell Connected Enterprise (HCE) is reinventing the way industries measure, analyze, and run their complex operations as we pivot from manufacturing to lead the Industrial Internet of Things (IIoT) software revolution. HCE is a disruptor that develops industrial-grade software and services that transforms how companies use operational data to improve processes, enhance productivity, support sustainability initiatives, and empower workers. We are building a smarter, safer and more sustainable world through AI-backed insights. With HCE, every day is our customer's best day of performance.

Key responsibilities -

• Implementation of end-to-end statistical/ML/analytics solutions as per the industry standard process, CRISP-DM
• Understanding of industrial/buildings automation and digital controls
• Strong hold on data and context
• Understanding of large language models and building domain specific LLMs
• Experience in building asset life cycle prediction algorithms
• Understand business requirements and propose suitable solutions
• Explore, devise and implement AI algorithm stack
• Experiment, prototype and finalize specific solution with the best business metrics
• Design and implement architecture/tech stack for data integration, data flow and data storage for ML solutions
• Collaborate with product teams across the organization for deployment and integration of AI solutions in existing products
• Deliver production quality, modular and reproducible code
• Create data visualizations to visualize raw data and analytics insights to demonstrate efficacy of the solution.
• Data storytelling to articulate outcomes to non-technical stakeholders.

Requirements -

• Solid understanding of statistics, probability, ML and DL
• Overall 12+ years of industry experience with a minimum of 7 years of experience in developing and deploying end-to-end AI/ML solutions in production environment
• Exposure to generative AI, reinforcement learning, supervised and unsupervised algorithms, various architectures of neural networks, time series forecasting, deep learning networks
• Deep expertise in any specific application of ML and DL
• Prior experience in building and deploying ML pipelines from data ingestion, preparation to deploying models in production
• An understanding of various databases relational, NoSQL with prior experience in any DB
• Exposure to ML and DL frameworks like TensorFlow, PyTorch, Caffe, etc
• Familiarity with ML testing and data validation frameworks
• Cloud programming experience on Azure

Good to have -

• Familiarity with IoT communication protocols like MQTT
• Edge AI deployment experience

Additional Information

• JOB ID: HRD227005
• Category: Engineering
• Location: Devarabisanahalli Village, KR Varturhobli,,East Taluk - Phase I,Bangalore,KARNATAKA,560103,India
• Exempt