Data Science / AI Engineer

Infosys Finacle; Bengaluru; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

Infosys Finacle is seeking a data science and AI engineering professional with 6–8 years of experience to drive end-to-end ML and Generative AI initiatives in Bengaluru. You will design experiments, deploy ML models, and build agentic AI systems with tool calls and autonomous workflows.

You will champion responsible AI practices, mentor junior data scientists, and communicate complex results to non-technical stakeholders, contributing to real business impact in a fast-paced environment.

Qualifications

• 6-8 years of experience in data science, ML, or applied AI with production deployment.
• Strong proficiency in Python and SQL for large-scale data work.
• Hands-on experience with LLMs including RAG, prompt engineering, and fine-tuning.
• Experience building agentic AI systems with tool calling and autonomous workflows.
• Familiar with vector/orchestration frameworks such as LangChain, LangGraph, and LlamaIndex.
• Experience in hosting models and API deployments (MLOps/LLMOps).
• Excellent communication to explain technical work to non-technical stakeholders.

Responsibilities

• Design experiments and apply statistics to extract insights from large datasets.
• Build and deploy ML models for predictive use and business impact.
• Develop Generative AI solutions including prompt engineering and RAG pipelines.
• Create agentic AI systems with multi-agent orchestration and autonomous workflows.
• Host and deploy models as scalable API-ready services.
• Champion explainable AI practices across solutions.
• Mentor junior data scientists and present work clearly to stakeholders.

Skills

Python

SQL

Statistical Modeling

ML Deployment

LLMs

Prompt Engineering

Agentic AI

RAG Pipelines

Explainable AI

Team Mentoring

Communication Skills

Tools

LangChain

LangGraph

LlamaIndex

Job description

We're looking for data science and AI engineering with 2-8 years of experience across core data science, Machine Learning, Generative AI, and Agentic AI. You'll build everything from statistical models to LLM-powered and autonomous agent solutions, driving real business impact while mentoring the team.

Key Responsibilities

• Design experiments and apply statistical techniques to extract insights from large datasets
• Build and deploy ML models (clustering, decision trees, neural networks, simulation) for predictive use.
• Build Generative AI solutions involving prompt engineering, fine-tuning and RAG pipelines using LLMs
• Design agentic AI systems involving multi-agent orchestration, tool calling, autonomous workflows.
• Host and deploy models and agents as scalable API-ready services
• Champion explainable and responsible AI practices across all solutions
• Mentor junior data scientists and present technical work clearly to non-technical stakeholders

Requirements

• 6-8 years of experience in data science, machine learning, or applied AI, with production deployment experience
• Advanced proficiency in Python and SQL for data manipulation and analysis at scale with solid statistical and ML foundation
• Hands-on experience with LLMs including RAG, prompt engineering, fine-tuning and agentic frameworks
• Practical experience building agentic AI systems involving tool calling and autonomous workflows.
• Familiarity with vector and orchestration frameworks like LangChain, LangGraph, LlamaIndex
• Experience with model and agent hosting (MLOps/LLMOps) and API deployments
• Excellent communication skills with ability to explain technical work to non-technical audiences
• Strong analytical and problem-solving mindset and comfortable working in a fast-paced ambiguous environment