Sr Advanced Data Scientist
Honeywell International Inc. (company site, opens in a new tab)8–14 yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Drive research, design, development, and deployment of scalable AI/ML solutions including Generative AI, Large Language Models, Causal AI, and Knowledge Graphs.
- Lead initiatives such as research, proof-of-concepts, pilot programs, and rapid prototyping to evaluate emerging AI technologies and product opportunities.
- Build and optimize data engineering workflows, data pipelines, and analytics platforms supporting machine learning applications; manage end-to-end AI product lifecycle including integration, testing, deployment, and maintenance.
Minimum Requirements
- 8 to 14 years overall experience with at least 4 years in AI/ML, Analytics, Data Science, or Data Engineering product development.
- Bachelor's or master's degree in Engineering, Applied Mathematics, Statistics, or related discipline.
- Proven experience developing and deploying machine learning or AI-based products in production.
- Proficiency in advanced Python, PySpark, data processing and transformation, automated unit testing, and CI/CD practices.
Ideal Candidate Profile
- Strong expertise in AI/ML model development combined with robust software engineering and data engineering skills enabling scalable, production-grade solutions.
- Experienced in Agile product development environments and capable of collaborating cross-functionally with product managers, engineers, architects, and stakeholders.
- Prior exposure to Industrial Automation, Manufacturing, Process Control, Industrial IoT or MLOps, AI platform development, and large-scale distributed data processing is advantageous.