Job Description
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.
Y ou 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 AI Manager 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.
Responsibilities
Key Responsibilities:
Spearhead the design, development and deployment of Generative AI solutions tailored for Honeywell business requirements.
Provide technical leadership, mentorship and coaching to Data Scientists and AI/ML engineers. Develop top talents to build an effective and high performing team. Direct and support the team members to complete all the project deliverables.
Work closely with cross-functional teams to align AI initiatives, ensuring smooth integration of LLM solutions with existing enterprise systems.
Engage with senior leadership, providing regular updates on project milestones, risks, and achievements.
Identify business requirements and opportunities for Generative AI use cases and work with key stakeholders to create new project / business case.
Define best practices and consistent framework for deployment of Generative AI applications, implementing robust LLMOps process and reinforcing Responsible AI principles.
Drive operational excellence activities required to ensure a streamlined production process of data science deliveries.
Actively lead, analyze, and recommend highly complex business opportunities, through assessments/workshops, detailed data analysis/modeling and overall end-end solutioning to propose predictive, AI Driven solutions that drive the most business value with sustained impact.
Stay updated with advancements in AI, specifically Generative AI technologies, and identify potential applications in the enterprise space.
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.
Partner and effectively communicate with Non-IT / Business users, functional counterparts, and stakeholders to understand the underlying business problem, and work with the extended team to define and communicate the right
Qualifications
YOU MUST HAVE
- Bachelors in Computer Science, Data Science or Engineering fields
- 6+ years of IT experience in solution architect / data scientist / software development for large corporate/organizations
- 4+ years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc
- 4+ years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, Keras, TensorFlow, PyTorch, MXNet, etc, and/or natural language processing using NLTK, spaCy, Gensim, etc.
- 2+ years of experience in building IT use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure and/or AWS cloud platforms.
- Excellent understanding of Machine Learning techniques and proficiency in feature analysis, algorithm selection and model hyperparameter tuning.
- Demonstrated experience in people skills and project management.
WE VALUE
- Master's Degree in Computer Science, Data Science or Engineering fields
- Hands-on project experience with Generative AI
- Project experience with NLP/NLG, AI Conversational Agent (Chatbot)
- Experience with Azure OpenAI, Azure Databricks, Airflow, etc.
- Working Experience in an Agile/Scrum/Scaled Agile and DevOps based team environment
- Certifications AI / ML and Cloud platforms
- Great communication skills
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
