Data Scientist - Machine Learning/Generative AI in Bangalore, भारत

Role : Consultant - Data Scientist | 4 - 7 Years | BangaloreHiring a hands-on Data Scientist with strong experience in Machine Learning, Python, GenAI, Feature Engineering, and production-grade model development. This is an excellent opportunity for professionals who enjoy working with raw, unstructured, behavioural, and financial data and building advanced AI/ML solutions from experimentation through https://jobeax.com/link/kLUa7JYqleIl54oY : BangaloreExperience : 4 - 7 YearsYour Future Employer : A leading global AI and Analytics organization offering an opportunity to work on advanced Data Science, Artificial Intelligence, Generative AI, and analytics solutions for global https://jobeax.com/link/fpQVCTW857iKDlhE : - Build and validate advanced Machine Learning and statistical models using structured, unstructured, behavioural, and transactional data.- Engineer meaningful features from raw data and evaluate their incremental predictive value beyond existing models.- Apply LLM-based extraction and GenAI techniques to convert unstructured data into structured, machine-readable signals.- Work with advanced modelling techniques including XGBoost, Random Forest, sequence/trajectory modelling, survival/hazard modelling, and Bayesian methods.- Take analytical solutions from experimentation to production-grade deliverables, including APIs, libraries, reproducible pipelines, and monitored services.- Develop and maintain Python codebases using Git/GitHub, version control, and CI/CD workflows.- Collaborate closely with data, engineering, and client teams to develop scalable and reliable AI/ML solutions.- Contribute reusable frameworks, methodologies, and learnings to the organization's AI and Data Science Center of https://jobeax.com/link/BwVvPl2OEC1vmRh7 : - 4 - 7 years of hands-on experience in Data Science, Machine Learning, or AI.- Strong proficiency in Python, Machine Learning, Statistics, and Feature Engineering.- Hands-on experience with GenAI, LLM-based solutions, or AI/agentic workflows.- Strong knowledge of advanced ML techniques such as XGBoost, Random Forest, HDBSCAN, HMMs, sequence modelling, survival analysis, and Bayesian modelling.- Experience taking models from experimentation to production, rather than working only with notebooks.- Strong experience with Git/GitHub, CI/CD, and production ML workflows.- Ability to work with raw, unstructured, behavioural, or transactional datasets.- Strong analytical, problem-solving, and communication skills.- Experience in financial services, lending, credit bureau, risk analytics, or transaction data will be an advantage.- Experience with AI evaluation, observability, model monitoring, drift detection, or hallucination checks will be a https://jobeax.com/link/5U2uhvRDvU5nvRfD is in it for you : - Opportunity to work on advanced AI, GenAI, Machine Learning, and Data Science use cases.- Exposure to complex financial, behavioural, transactional, and unstructured datasets.- Opportunity to build and deploy production-grade ML solutions using modern AI/ML practices.- Opportunity to collaborate with global clients and contribute to reusable AI and Data Science frameworks. (ref:hirist.tech)