Data Scientist

Genpact; Dadri, Gurugram District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Genpact in Gurugram District, India, is seeking a talented Data Scientist with expertise in AI/ML, Generative AI, and Large Language Models (LLMs). The position requires designing and deploying advanced machine learning models to address business challenges using Python, SQL, and various AI frameworks.

The ideal candidate will also mentor junior members, ensure data compliance, and explore innovative AI solutions. Strong programming skills and exposure to cloud platforms like Azure, AWS, or GCP are essential.

Qualifications

• Experience in building or fine-tuning LLM applications.
• Familiarity with NLP techniques and tasks like NER, sentiment analysis.
• Strong problem-solving and communication skills.

Responsibilities

• Design, develop, and deploy machine learning models.
• Work with large-scale datasets using Python and SQL.
• Implement solutions on cloud platforms like Azure or AWS.

Skills

AI/ML expertise

Generative AI

Large Language Models (LLMs)

Python

SQL

Scikit-learn

TensorFlow

PyTorch

Keras

AutoML

Natural Language Processing (NLP)

Tools

Azure

AWS

GCP

Job description

Role & responsibilities

We are looking for Data Scientist with expertise in AI/ML, Generative AI, and Large Language Models (LLMs). The role involves building advanced machine learning models, leveraging generative AI frameworks, and applying data science techniques to solve complex business problems. The ideal candidate will bring strong programming skills, hands‑on experience with AI/ML libraries, and exposure to cloud‑based AI services.

Responsibilities

• Design, develop, and deploy machine learning and generative AI models to address business needs.
• Work with large‑scale datasets using Python, SQL, and industry‑standard libraries (Scikit‑learn, TensorFlow, PyTorch, Keras, AutoML, etc.).
• Develop and fine‑tune LLM‑based solutions (GPT-3, GPT-4, or similar models) for real‑world applications.
• Ensure data quality, integrity, and compliance with best practices, frameworks, and coding standards.
• Collaborate with cross‑functional teams (engineering, product, business) to translate requirements into AI‑driven solutions.
• Explore and apply natural language processing (NLP) techniques for text understanding, summarization, and sentiment analysis.
• Implement solutions on cloud platforms (Azure, AWS, or GCP) ensuring scalability and efficiency.
• Research and experiment with GenAI, Agentic AI models, and advanced frameworks to drive innovation.
• Mentor junior team members on AI best practices and troubleshooting.

Preferred Qualifications/ Skills

• Prior experience in building or fine‑tuning LLM applications.
• Familiarity with NLP techniques and tasks (NER, sentiment analysis, summarization, text classification).
• Exposure to AutoML frameworks and cloud AI services (Azure AI, AWS SageMaker, GCP Vertex AI).
• Experience with MLOps practices for model lifecycle management.
• Strong problem‑solving, communication, and collaboration skills in multidisciplinary environments.