AI Engineer/Data Scientist II

About The Company
Honeywell Connected Enterprise (HCE) is a leading business segment of Honeywell International Inc., dedicated to delivering innovative software solutions that drive digital transformation and enhance operational efficiency across diverse industries. Leveraging cutting-edge technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and data analytics, HCE develops integrated solutions aimed at improving productivity, safety, and sustainability. With a commitment to innovation and excellence, Honeywell continues to set industry standards by providing actionable insights and scalable solutions that empower organizations worldwide. As part of this dynamic environment, employees are encouraged to think creatively, solve complex problems, and contribute to technological advancements shaping the future of automation and digital enterprise.

About The Role
We are seeking a highly motivated AI Engineer/Data Scientist II to join Honeywell's Connected Enterprise team. In this role, you will be instrumental in building and deploying advanced AI and machine learning (ML) models that create new business opportunities and deliver significant value. Your responsibilities will include recommending innovative solutions through various data science methodologies, including hypothesis testing and data acquisition strategies. You will play a key role in defining and governing Honeywell's analytics strategy, expanding the AI/ML capabilities within our Forge platform, and promoting best practices in data science across different functions. Reporting directly to the AI/ML Leader, you will collaborate with cross-functional teams to develop scalable, production-ready models and solutions that address complex industrial challenges and enable digital transformation initiatives.

Qualifications

• Bachelor's degree in computer science, engineering, applied mathematics, or a related STEM field
• Minimum of 2 years of full-time data science prototyping experience using Python and machine learning techniques in a commercial environment
• Minimum of 2 years of ML experience applied to processes, systems, and hardware in a commercial setup
• Minimum of 2 years of experience with distributed storage and compute tools such as Spark
• Minimum of 2 years of experience deploying ML models on cloud platforms including AWS, Azure, or GCP
• Minimum of 2 years of experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras
• Minimum of 2 years of experience designing and deploying production pipelines using containerized microservices or orchestrated batch processes

Preferred qualifications include a Master's degree or PhD in a related STEM field, experience with MLOps best practices, familiarity with large language models (LLMs) and natural language processing, and experience working with remote and global teams. Results-driven with a positive, proactive attitude is highly valued.

Responsibilities

• Develop, build, and deploy innovative AI/ML models to support business growth and operational efficiencies
• Recommend and implement data science solutions utilizing hypothesis testing, data acquisition strategies, and model validation techniques
• Contribute to defining and governing Honeywell's analytics and AI/ML strategy, ensuring alignment with corporate goals
• Enhance the AI/ML capabilities of the Forge platform by integrating new models and tools
• Promote best practices in data science, model deployment, and MLOps across various teams and functions
• Collaborate with cross-functional teams including engineering, product management, and operations to deliver scalable solutions
• Participate in continuous learning and development to stay updated with emerging AI/ML trends and technologies
• Support the deployment and monitoring of models in production environments, ensuring robustness and reliability

Benefits

• Competitive salary and performance-based incentives
• Comprehensive health insurance plans including medical, dental, and vision coverage
• Retirement savings plans with company matching contributions
• Opportunities for professional development and continuous learning
• Flexible work arrangements to promote work-life balance
• Inclusive and collaborative work environment that values diversity
• Access to cutting-edge technologies and innovative projects
• Paid time off and holiday leave to support personal well-being

Equal Opportunity

Honeywell is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, age, disability, or any other legally protected status. We believe that diversity enhances our innovation and success, and we are dedicated to providing an equitable environment for all employees to thrive and contribute to our mission of solving complex challenges and creating a smarter, safer, and more sustainable world.