Data Scientist Artificial Intelligence (AI/ML)

Experience: 5-8 Years
Location: Bangalore
Interview- F2F Only

Job Summary

We are seeking a highly skilled Data Scientist Artificial Intelligence with strong expertise in Generative AI, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agent frameworks. The ideal candidate will have hands-on experience designing, developing, and deploying AI-powered applications using up-to-date AI frameworks and cloud technologies.

You will work closely with cross-functional teams to build intelligent AI solutions, optimize model performance, and develop scalable AI systems that solve real-world business problems.

Key Responsibilities

- Design, develop, and deploy AI/ML solutions for enterprise applications.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
- Develop multi-step AI agent architectures capable of planning, reasoning, tool usage, and workflow automation.
- Fine-tune, evaluate, and deploy Large Language Models (LLMs) for domain-specific use cases.
- Develop NLP and Generative AI applications including chatbots, document intelligence, knowledge assistants, and automation platforms.
- Work with structured and unstructured datasets for feature engineering, preprocessing, and model development.




- Implement prompt engineering strategies to improve AI model accuracy and response quality.
- Integrate AI models with enterprise applications using REST APIs and microservices.
- Collaborate with Data Engineers, Software Engineers, and Product teams throughout the AI solution lifecycle.
- Optimize model inference, latency, scalability, and production performance.
- Monitor AI models, evaluate quality metrics, and implement continuous improvements.
- Stay updated with emerging AI technologies, research, and industry best practices.

Required Skills

Artificial Intelligence & Machine Learning

- Strong understanding of Machine Learning and Deep Learning algorithms.
- Experience with supervised, unsupervised, and reinforcement learning.
- Experience in NLP, text processing, and transformer-based models.
- Knowledge of model evaluation, feature engineering, and model optimization.

Generative AI

- Hands-on experience with Large Language Models (LLMs).
- Experience designing and deploying RAG (Retrieval-Augmented Generation) pipelines.
- Experience building multi-agent or multi-step AI agent architectures.
- Strong understanding of prompt engineering techniques.
- Experience with embeddings and semantic search.

📌 Data Scientist - Artificial Intelligence (Bengaluru)
🏢 Visara Human Capital Services
📍 Bengaluru