Job Title: Data Scientist and Senior Data Scientist / AI &

- Machine Learning Engineer

Experience Require d Minimum 2-6+ year s of relevant experience in Data Science, Machine Learning, or Artificial Intelligence

.

Jr Data Scientist - 2-4 year s Data Scientist - 6-8 yea rs

Job Sum mary We are seeking an experienced and highly motiva ted Data Scientist / AI Engi neer 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 Responsible

AI. Key Responsibili ties Design, develop, and deploy advan ced AI/ML solut ions Bu ild predictive & prescriptive mo dels to drive business outc omes Develop end-to-end ML pipelines (data ingestion → deploym ent)Work on LLM &

- RAG-based applicat ions and Gen AI solut ions Deploy models and make t hem API-ready for production use Apply techniques l ike clustering, regression, simulation, and scenario anal ysis Build Po Cs, MVPs, and experiment with cutting-edge approa ches Implem ent Explainable &
- Responsible AI ( XAI)



pract ices Collaborate with cross-functional teams to translate business needs into AI solut ions Communicate insights clearly to both technical and non-technical stakehol ders

Required Skills &

- Qualifica tions Strong analytical and problem-solving mi ndset Proficienc y in Python &
- SQLHands-on experience with: Machine Learning &
- Traditional ML M odels LLMs, RAG Applications, Gen A

I, AIStrong understanding of statistics (regression, distributions, hypothesis tes ting)Experience working with large dat asets Experience in deploying model s as production-grade

APIs Excellent communication s kills

Preferred Qualific ations Experience working in fast‑paced, agile, or research‑driven enviro nments Exposure to cloud platforms and MLOps pra ctices Passion for innovation, experimentation, and continuous le arning Pref erred: Experience in agile/quick-paced enviro nments Exposu re to cloud &

- MLOps pra ctices Passion for innovation and continuous le arn ing Loc ation: Chennai &
- Bangalore (Preference for Ch enn ai) Note: Strictly lookin g for pure Data Science pr ofiles (Not Data Engineering / Data Anal ytics)

📌 Data Scientist (Bengaluru)
🏢 Infosys Finacle
📍 Bengaluru