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:-
Over all 6 to 9 yrs Experience
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
In-depth understanding of the latest trends and developments in AI and ML, especially in generative models and LLM (both Cloud and OnPrem)
Proficiency in programming languages & libraries
Cloud: AWS, Azure.
Languages: Advanced Python, pySpark
Framework: Lambda , Django, Express.
Database: Postgres, Mongo, ES
Hands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications
Over all 6 years & Minimum 4 years of relevant experience in data science related product development.