Job DescriptionJob Title: Data Scientist and Senior Data Scientist / AI & Machine Learning Engineer NnExperience Require NdMinimum 3-6+ years of relevant experience in Data Science, Machine Learning, or Artificial Intelligence Nn. NJr Data Scientist- 3-4 years NSr Data Scientist- 6-8+ years NnJobSummary NnWe are seeking an experienced and highly motivated Data Scientist / AI Engineer to work on cutting‑edge AI solutions in collaboration with leading business partners. The ideal candidate will design, build, deploy, and explain advanced machine learning models that drive measurable business outcomes while adhering to principles of Explainable and ResponsibleAI NnKeyResponsibilities NnDesign, develop, and deploy advanced AI/ML solutions NBuild predictive & prescriptive models to drive business outcomes NDevelop end-to-end ML pipelines (data ingestion → deployment) NWork on LLM & RAG-based applications and GenAI solutions NDeploy models and make them API-ready for production use NApply techniques like clustering, regression, simulation, and scenario analysis NBuild PoCs, MVPs, and experiment with cutting-edge approaches NImplement Explainable & Responsible AI (XAI)



practices NCollaborate with cross-functional teams to translate business needs into AI solutions NCommunicate insights clearly to both technical and non-technical stakeholders NnRequired Skills & Qualifications NnStrong analytical and problem-solving mindset NProficiency in Python & SQLHands-on NExperience with:Machine Learning & Traditional ML Nn ModelsLLMs, RAG Applications, GenA, AI N Strong understanding ofstatistics (regression, distributions, hypothesis testing)Experience working with large datasets N Experience in deployingmodels as production-grade N APIsExcellent communication NnnSkills NnPreferred Qualifications NExperience working in fast‑paced, agile, or research‑driven environments NExposure to cloud platforms and MLOps practices NPassion for innovation, experimentation, and continuous learning NnPreferred: NExperience in agile/quick-paced environments NExposure to cloud& MLOps practices NPassion for innovation and continuous learning N? Location: Chennai & Bangalore (Preference for Chennai) N? Note: Strictly looking for pure Data Science profiles (Not Data Engineering / Data Analytics)

📌 Data Scientist (Karnataka)
🏢 Infosys Finacle
📍 Karnataka