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 (whatifs) 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
QualificationsYou Must Have:
- Bachelors / Masters degree in Engineering Applied Mathematics or related field
- Minimum 4 years of relevant experience in data science related product development
- 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.
- Chemical engineers with APC/APM experience shall be added advantage
- 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
ResponsibilitiesConducting 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 s...
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 (whatifs) 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
QualificationsYou Must Have:
- Bachelors / Masters degree in Engineering Applied Mathematics or related field
- Minimum 4 years of relevant experience in data science related product development
- 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.
- Chemical engineers with APC/APM experience shall be added advantage
- 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
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