Advanced Data Engineer
The future is what you make it. When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars. Working at Honeywell isn’t just about developing cool things. That’s why all of our employees enjoy access to dynamic career opportunities across different fields and industries. Are you ready to help us make the future?
Join a company that is transforming from a traditional industrial company to a contemporary digital industrial business, harnessing the power of cloud, big data, analytics, Internet of Things, AI/ML (Machine Learning), Automation and design thinking. You will support change that brings value to our customers, partners, and shareholders through the creation of innovative software and data-driven products and services. You will help engineer contemporary applications and services, constructing solutions that remain scalable, adaptable and replicable. You will be part of transforming Honeywell's IT organization through the delivery of technology products that will directly impact the company's growth.
You will be part of the IT Information Management & Analytics team and in this role, you will at the forefront of implementing state-of-the-art Generative AI, Machine Learning and AI Cognitive Services enhanced business use cases. This Advanced Data Engineer role will work with the business stakeholders, IT business partners, functional consultants, and infrastructure/technology teams to deliver innovative AI technology solutions that accelerate digital transformation and drive operational efficiency as well as business growth. You will focus primarily on the full cycle delivery of AI/ML use cases from requirements/design to release, driving the evolution of AI/ML infrastructure/process, and enabling Intelligent Apps & Automation, next generation of AI Copilots/Assistants, etc.
Key Responsibilities:
·Develop and Deploy advanced Generative AI large language models, Machine Learning and Deep Learning Models/algorithms to enhance and/or automate existing business processes with predictive and intelligent decision making, content aggregation and contextualized insights.
·Collaborate with data scientists and AI engineers to build production-level models and pipelines, including any required preprocessing of input datasets and postprocessing after model inference.
·Processing, cleansing and verifying the integrity of structured and unstructured business data used for analysis and building Gen AI applications.
·Developing batch processing and real-time data processing solutions. Writing ETL (Extract, Transform, Load) processes, designing database systems, and implementing data pipelines for Gen AI & Class AI systems.
·Analyze large amount of information to discover underlying trends and patterns that are relevant for solving business problems. Select features and perform proper data transformation to optimize datasets for building the models.
·Work in a startup-type environment to design and build innovative applications using Automation, Machine Learning/Cognitive Service, business / functional proofs-of-concepts to scalable, production ready solutions across a strategic business group
·Optimizing data retrieval and developing dashboards for monitoring the quality of Data & AI systems. Tuning the performance of the data management systems to ensure high performance.
·Work within project planning constraints, communicating any identified project risks and issues to the delivery/project manager and provide inputs to the change control process.
·Help develop standard operation practices and support the Operations Teams through UAT and after go-live.
·Continuously optimize the existing AI/ML operations and help build effective model performance monitoring, alert, and improvement framework to proactively identify problems/issues before business impact.
YOU MUST HAVE
·Experience with Databricks, Snowflake, Informatica
WE VALUE
·Understanding of application development framework like LangChain, LlamaIndex, and knowledge of vector index, vector databases
·Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
·Experience operating large data warehouse
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