Data Scientist Manager-Gurgaon

Kezan Consulting; Dadri, Gurugram District; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

Kezan Consulting is seeking a Sr Data Scientist in India with 6+ years of experience to design, build, and deploy advanced ML and GenAI solutions in a production environment.

You will work on RAG pipelines, LLMOps workflows, and prompt engineering, collaborating with data engineers and product teams to ensure robust model performance and governance.

Qualifications

• 6+ years of experience in Data Science / ML.
• Strong proficiency in Python and analytical programming.
• Hands-on experience with scikit-learn, pandas, NumPy.
• Experience with LLMs, RAG, embeddings, and vector databases.
• Knowledge of LLMOps, model deployment, and monitoring.
• Strong understanding of feature engineering, regression, and model validation techniques.

Responsibilities

• Design, develop, and deploy machine learning and GenAI solutions.
• Build and optimize RAG pipelines using embeddings and vector databases.
• Implement and manage LLMOps workflows for scalable AI applications.
• Develop prompt engineering strategies to improve LLM performance.
• Work on agent orchestration and multi-agent AI workflows.
• Perform data preparation, cleaning, transformation, and feature engineering.
• Apply regression and other ML algorithms for predictive modeling.
• Conduct model training, evaluation, validation, and performance tuning.
• Collaborate with data engineers, product teams, and business stakeholders.
• Ensure model reliability, monitoring, and continuous improvement in production.

Skills

Python

Scikit-learn

Pandas

NumPy

LLMs

RAG

LLMOps

Prompt engineering

Vector databases

Agent orchestration

Feature engineering

Tools

LangChain

LlamaIndex

Docker

Kubernetes

AWS

Job description

Job Title: Sr Data Scientist (6+ Years Experience)
Location: GGN

Job Description

We are looking for a highly skilled Data Scientist with 6+ years of experience in building and deploying machine learning and Generative AI solutions. The ideal candidate should have strong expertise in Python, ML algorithms, LLMs, RAG, and LLMOps, along with experience in data preprocessing, feature engineering, model validation, and agent orchestration.

Key Responsibilities

• Design, develop, and deploy machine learning and GenAI solutions.


• Build and optimize RAG pipelines using embeddings and vector databases.


• Implement and manage LLMOps workflows for scalable AI applications.


• Develop prompt engineering strategies to improve LLM performance.


• Work on agent orchestration and multi-agent AI workflows.


• Perform data preparation, cleaning, transformation, and feature engineering.


• Apply regression and other ML algorithms for predictive modeling.


• Conduct model training, evaluation, validation, and performance tuning.


• Collaborate with data engineers, product teams, and business stakeholders.


• Ensure model reliability, monitoring, and continuous improvement in production.

Required Qualifications

• 6+ years of experience in Data Science / Machine Learning.


• Strong proficiency in Python and analytical programming.


• Hands-on experience with scikit-learn, pandas, NumPy, and related ML libraries.


• Experience with LLMs, RAG, embeddings, vector databases, and prompt engineering.


• Knowledge of LLMOps, model deployment, and monitoring.


• Strong understanding of feature engineering, regression, and model validation techniques.


• Excellent problem-solving and communication skills.

Preferred

• Experience with LangChain, LlamaIndex, or similar frameworks.


• Exposure to cloud platforms (AWS/Azure/GCP), Docker, and Kubernetes.