Responsibilities:

• Conducting research aligned to the roadmaps to de-risk/ mature and insert advanced AI concepts to Honeywell products (latest advancements in generative AI / Causal / Knowledge Graphs, machine learning, and deep learning techniques )
• Researching, designing, implementing, scalable AI based solutions to solve high value & challenging customer problems and drive opportunities for new growth
• Leads prototyping (what–ifs) supporting pilot programs for R&D purposes.
• Collaborating with cross-functional teams to develop data-driven solutions.
• Responsible for problem analysis, stakeholder interaction, solution design, front end and back-end integration, maintenance, and support of data science and analytics solutions
• Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes

You Must Have:

• Bachelors / Master’s degree in Engineering, Applied Mathematics or related field
• Strong analytics skills: ability to assess data, drive insights, and make recommendations.
• Strong experience in manipulating data sets and building statistical models.
• Strong problem-solving skills with an emphasis on product development.
• Experience supporting fast-paced startup engineering teams
• Proficiency in programming languages such as Python, and experience with AI/ML frameworks
• In-depth understanding of the latest trends and developments in AI and ML, especially in generative models and LLM (both Cloud and OnPrem)
• Minimum 4 years of relevant experience in data science related product development