AI/ML DATA SCIENTIST

Zoho; Chennai District; On-site; INR 2,000,000 - 2,800,000; Full time

Job summary

Vrinda International seeks an AI/ML Data Scientist to advance our IT services and analytics capabilities. You will leverage Generative AI, LLMs, and RAG to build scalable ML models and embedding-rich pipelines, while integrating NLP and computer vision into product intelligence.

You will own end-to-end deployment, MLOps practices, and data-driven decision making, using Docker, Kubernetes, and vector databases to ensure robust, scalable solutions across complex datasets.

Qualifications

• 5.5–8 years of professional experience in data science and ML engineering.
• Proven expertise in Generative AI, LLMs, and Retrieval-Augmented Generation.
• Strong proficiency in NLP and Computer Vision techniques.
• Hands-on experience with Docker and Kubernetes.
• Experience with Vector databases and prompt engineering.
• Strong SQL querying and data analysis skills.
• Background in ML algorithms, statistics, and model deployment pipelines.

Responsibilities

• Design, develop, and deploy scalable ML models using Generative AI, LLMs, and RAG.
• Build NLP and CV solutions to enhance product intelligence.
• Manage AI applications with Docker and Kubernetes for reliability and scalability.
• Implement vector databases and refine prompt strategies for better outputs.
• Analyze large datasets with SQL to extract actionable insights.
• Lead end-to-end ML model deployment and MLOps practices.

Skills

Generative AI

LLMs

Retrieval-Augmented Generation

NLP

Computer Vision

SQL

ML deployment

MLOps

Prompt engineering

Data analysis

Tools

Docker

Kubernetes

Vector databases

Job description

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Job Description

Summary

We are seeking a highly skilled AI/ML Data Scientist to join our IT Services division. In this pivotal role, you will leverage advanced technologies such as Generative AI, Large Language Models, and Retrieval-Augmented Generation to drive innovation. The position demands a deep understanding of Natural Language Processing and Computer Vision, alongside robust expertise in deploying machine learning solutions within containerized environments. You will play a critical part in analyzing complex datasets, optimizing model performance, and ensuring the seamless integration of AI capabilities into our business workflows.

Responsibilities

• Design, develop, and deploy scalable machine learning models utilizing Generative AI, LLMs, and RAG architectures.
  
• Engineer sophisticated solutions for Natural Language Processing and Computer Vision tasks to enhance product intelligence.
  
• Manage the lifecycle of AI applications using Docker and Kubernetes to ensure reliability and scalability.
  
• Implement and optimize vector databases while refining prompt engineering strategies for improved model outputs.
  
• Conduct in-depth data analysis and statistical modeling using SQL to extract actionable insights from large datasets.
  
• Oversee the end-to-end deployment of ML models, including MLOps practices for continuous integration and delivery.
  

Requirements

Requirements:

• Possess between 5.5 and 8 years of professional experience in data science and machine learning engineering.
  
• Demonstrate proven expertise in Generative AI, Large Language Models, and Retrieval-Augmented Generation techniques.
  
• Show strong proficiency in NLP and Computer Vision methodologies.
  
• Have hands-on experience with containerization tools such as Docker and orchestration platforms like Kubernetes.
  
• Be skilled in working with Vector Databases and advanced Prompt Engineering practices.
  
• Exhibit solid capabilities in SQL querying and comprehensive data analysis.
  
• Maintain a strong background in Machine Learning algorithms, Statistical Analysis, and Model Deployment pipelines.
  
• Be prepared to work within the salary range of ₹20 - 28 LPA.