Data Scientist - Gen AI - 9+ Years - Gurgaon

Summary

We are looking for a Data Scientist with 9+ years of experience and strong data engineering exposure to join an advanced analytics and modeling team. The role requires hands-on expertise in Python, machine learning, statistical analysis, and data pipelines. You will work on end-to-end model development, deployment, and visualization to deliver scalable, data-driven solutions supporting business decisions.

Location: Gurgaon

Your Future Employer

A high-growth analytics-driven organization known for solving complex business problems using advanced data science and modern cloud-based platforms.

Responsibilities

1. Developing and deploying machine learning models for classification, regression, and clustering use cases
2. Mandatory hands-on experience in Generative AI, including building and deploying solutions using LLMs, prompt engineering, and model fine-tuning.
3. Strong exposure to GenAI frameworks and tools such as LangChain, Hugging Face, OpenAI APIs, or similar platforms.
4. Building and optimizing data pipelines and workflows using Airflow
5. Ensuring data quality, integrity, and availability through robust ETL processes
6. Deploying machine learning models into production using Python-based frameworks
7. Creating interactive dashboards and visualizations using Python libraries
8. Collaborating with cross-functional teams to translate business needs into analytical solutions

Requirements

1. 9+ years of experience in Data Science with exposure to Data Engineering
2. Strong proficiency in Python, advanced Python concepts, SQL, and Excel
3. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
4. Experience in building data pipelines and workflow orchestration using Airflow or similar tools
5. Exposure to model deployment using Flask, FastAPI, or similar frameworks
6. Experience with containerization tools such as Docker; Kubernetes exposure is a plus
7. Familiarity with cloud platforms like AWS, Azure, or GCP

What's in it for you

Opportunity to work on end-to-end data science and ML solutions

Exposure to cloud-based, scalable analytics platforms

High-impact role with strong business visibility

Continuous learning in advanced analytics and data engineering

Profile Keywords: Data Scientist, Machine Learning, Python, Predictive Analytics, Data Engineering, Airflow, ETL, Model Deployment, Cloud Analytics, SQL, Docker, Dashboards