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Tier-1 employer, popular Sr Data Scientist title, and Bangalore metro increase competition.
Strong aerospace domain requirements and industrial datasets reduce cross-industry portability.
Requires Master's degree, mandatory Python/GenAI/cloud skills and aerospace domain familiarity.
Develop and implement AI and machine learning models to solve business problems and deliver measurable business outcomes.
Collaborate cross-functionally with data scientists, engineers, product owners, and stakeholders to translate AI algorithms into production-grade products and services.
Deploy, monitor, optimize, and maintain data science models ensuring data quality, performance, and scalability in production environments.
Master’s degree (M.Tech/M.E./M.S.) in AI, Machine Learning, Computer Science, Applied Statistics, or related STEM fields.
Proficiency in Python and SQL; hands-on experience with GenAI implementations including fine-tuning and prompt engineering.
Familiarity with cloud platforms (e.g., AWS, Azure, Databricks) and their AI/ML services.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced with generative AI and deploying AI/ML solutions at scale in industrial or business contexts.
Strong technical background combined with functional domain expertise and ability to manage cross-functional collaborations.
Operates well in structured teams focusing on data quality, model optimization, and stakeholder-driven continuous improvements.