What are the responsibilities and job description for the Lead Machine Learning Engineer position at honeywell?
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.
RESPONSIBILITIES
· Collaborate with colleagues across multiple teams (Data Science and Data Engineering) on unique machine learning system challenges at scale.
· 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.
· Research and impalement state of the art LLM models for different business use cases including finetuning and serving the LLMs.
· 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.
· Build Deep Learning models and algorithms with optimal parallelism and performance on CPUs/ GPUs.
