DATA SCIENTIST (ARTIFICIAL INTELLIGENCE)

Vrinda International; Gurugram District; On-site; INR 1,600,000 - 1,700,000; Full time

Job summary

Vrinda International in India is seeking a Data Scientist (Artificial Intelligence) to lead development of advanced ML models and AI solutions. You will design, train, and deploy scalable systems, optimize data pipelines, and collaborate with cross-functional teams to translate business needs into technical results.

The ideal candidate has 7–10 years of experience in data science, strong Python skills, and hands-on GCP experience, with a track record of building RAG-based NLP applications and

Qualifications

• 7 to 10 years of professional experience in data science or related technical fields.
• Strong proficiency in Python programming with a deep understanding of machine learning frameworks.
• Hands-on expertise in working within the Google Cloud Platform (GCP) ecosystem.
• Proven track record of developing RAG-based applications and integrating them into production systems.
• Be well-versed in advanced boosting algorithms, specifically XGBoost and LightGBM.
• Possess solid knowledge of Transformer architectures, Sentence-Transformers, and their practical applications.
• Exhibit strong command over SQL, data structures, and algorithms for effective data manipulation and analysis.
• Hold a competitive salary expectation within the range of ₹16-17 LPA, aligned with industry standards for this level of expertise.

Responsibilities

• Design, develop, and deploy scalable machine learning models utilizing advanced libraries such as XGBoost and LightGBM.
• Architect and implement Retrieval-Augmented Generation (RAG) applications to enhance data retrieval and response accuracy.
• Engineer efficient data structures and algorithms to optimize computational performance and system scalability.
• Develop and maintain SQL queries and data pipelines to ensure high-quality data availability for analysis.
• Apply deep learning concepts, including Transformers and Sentence-Transformers, to NLP tasks.
• Utilize Google Cloud Platform (GCP) tools to manage, train, and deploy models in production environments.
• Write clean, efficient, and maintainable Python code to support end-to-end machine learning lifecycles.
• Collaborate with cross-functional teams to translate business requirements into technical AI solutions.

Skills

Python

SQL

Transformers

Sentence-Transformers

Data pipelines

GCP

XGBoost

LightGBM

Tools

GCP

XGBoost

LightGBM

Transformers

Sentence-Transformers

Job description

DATA SCIENTIST (ARTIFICIAL INTELLIGENCE)

Job Description

Summary

We are seeking a highly skilled Data Scientist specializing in Artificial Intelligence to join our IT Services team. In this pivotal role, you will leverage advanced machine learning techniques and deep learning frameworks to drive innovation and solve complex business challenges. Your expertise will be instrumental in developing robust AI solutions, optimizing data pipelines, and enhancing our operational efficiency through cutting-edge technology. This position offers the opportunity to work on high-impact projects that shape the future of our digital services.

Responsibilities

• Design, develop, and deploy scalable machine learning models utilizing advanced libraries such as XGBoost and LightGBM.
  
• Architect and implement Retrieval-Augmented Generation (RAG) applications to enhance data retrieval and response accuracy.
  
• Engineer efficient data structures and algorithms to optimize computational performance and system scalability.
  
• Develop and maintain SQL queries and data pipelines to ensure high-quality data availability for analysis.
  
• Apply deep learning concepts, including Transformers and Sentence-Transformers, to natural language processing tasks.
  
• Utilize Google Cloud Platform (GCP) tools to manage, train, and deploy models in production environments.
  
• Write clean, efficient, and maintainable Python code to support end-to-end machine learning lifecycles.
  
• Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  

Requirements

Requirements:

• Possess 7 to 10 years of professional experience in data science, machine learning, or related technical fields.
  
• Demonstrate strong proficiency in Python programming with a deep understanding of machine learning frameworks.
  
• Show hands-on expertise in working within the Google Cloud Platform (GCP) ecosystem.
  
• Have a proven track record of developing RAG-based applications and integrating them into production systems.
  
• Be well-versed in advanced boosting algorithms, specifically XGBoost and LightGBM.
  
• Possess solid knowledge of Transformer architectures, Sentence-Transformers, and their practical applications.
  
• Exhibit strong command over SQL, data structures, and algorithms for effective data manipulation and analysis.
  
• Hold a competitive salary expectation within the range of ₹16-17 LPA, aligned with industry standards for this level of expertise.