Job Description

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onducting 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 ) R
esearching, designing, implementing, scalable AI based solutions to solve high value & challenging customer problems and drive opportunities for new growth L
eads prototyping (what-ifs) supporting pilot programs for R&D purposes. C
ollaborating with cross-functional teams to develop data-driven solutions. R
esponsible for problem analysis, stakeholder interaction, solution design, front end and back-end integration, maintenance, and support of data science and analytics solutions D
evelop guidelines and standards for analytics and machine learning models, their deployment, and associated processes B
achelors / Master's degree in Engineering, Applied Mathematics or related field S
trong analytics skills: ability to assess data, drive insights, and make recommendations. S
trong experience in manipulating data sets and building statistical models. S
trong problem-solving skills with an emphasis on product development. C
hemical engineers with APC/APM experience shall be added advantage E
xperience supporting fast-paced startup engineering teams I
n-depth understanding of the latest trends and developments in AI and ML, especially in generative models and LLM (both Cloud and OnPrem) P
roficiency in programming languages & libraries C
+ loud: AWS, Azure.
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+ anguages: Advanced Python, pySpark
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+ ramework: Lambda , Django, Express.
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+ atabase: Postgres, Mongo, ES
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ands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications M
inimum 4 years of relevant experience in data science related product development H