Location: PAN India / Hybrid
Experience: 5-15 Years (Based on Level)
Employment Type: Full time
Domain: BFSI (Banking, Financial Services Insurance) - Cards Payments
Skills: GenAI, LLMOps, Data Science, Machine Learning, MLOps, NLP, Python, Cloud Platforms

About the Role

We are looking for highly skilled GenAI, LLMOps, and Data Science professionals with strong BFSI and Cards domain expertise to build next-generation AI-driven solutions for banking and financial services. The ideal candidate will work on Large Language Models (LLMs), Generative AI applications, intelligent automation, fraud analytics, customer intelligence, risk modeling, and payment/card-related use cases.

The role involves designing, developing, deploying, and monitoring enterprise-scale AI/ML solutions while ensuring compliance, governance, scalability, and performance in a regulated financial environment.

Key Responsibilities Generative AI LLM Solutions
- Design, develop, and deploy GenAI applications using Large Language Models.
- Build RAG (Retrieval Augmented Generation)



based solutions for enterprise knowledge management.
- Fine-tune and optimize open-source and commercial LLMs for BFSI-specific use cases.
- Develop conversational AI, virtual assistants, document intelligence, and financial advisory solutions.
- Implement prompt engineering, evaluation frameworks, guardrails, and responsible AI practices.

LLMOps MLOps
- Build scalable LLMOps pipelines for model deployment, monitoring, governance, and lifecycle management.
- Implement CI/CD pipelines for AI/ML models.
- Establish model observability, drift detection, performance tracking, and retraining strategies.
- Manage vector databases, embeddings, model registries, and inference platforms.
- Ensure compliance with enterprise security and regulatory requirements.

Data Science Advanced Analytics
- Develop predictive, classification, recommendation, and anomaly detection models.
- Build fraud detection, credit risk, customer segmenta

📌 Data Scientist (Noida)
🏢 Sparix Global
📍 Noida