Data Scientist

Genpact

5 - 10 years

16 - 27 Lacs

hyderabad

Posted:6 hours ago| Platform:

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Skills Required

data science generative ai llm machine learning python sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Responsibilities-

Model Development & Statistical Analysis - Design, develop, and optimize machine learning, deep learning, and statistical models to solve complex business problems.
GenAI & LLM Integration
Implement and integrate AI/ML models into GenAI and Agentic AI applications using LangChain, LangGraph, OpenAI APIs, RAG pipelines, and vector databases.
End-to-End ML Pipelines Build, deploy, and maintain scalable ML pipelines, from data ingestion and preprocessing to model deployment, monitoring, and lifecycle management.
Production Deployment & MLOps Deploy models as APIs or services using Docker, Kubernetes, FastAPI, and cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) while implementing CI/CD for automated testing and versioning.
Performance Monitoring & Reliability – Monitor model performance in production, detect drift or degradation, and establish alerting mechanisms to ensure reliability, compliance, and governance.
Analytics Integration – Embed models into real-time dashboards and analytics applications to deliver actionable insights for business and HR stakeholders.
Governance & Compliance – Ensure model explainability (XAI), security, audit logging, and adherence to ethical, regulatory, and enterprise standards.
Knowledge Sharing - Conduct and participate in training sessions, workshops, and technical discussions to share insights, AI/ML techniques, and best practices with team members.

Minimum Qualifications / Skills

Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a related quantitative field.
5-8 years of hands-on experience in data analysis, machine learning, or AI projects, preferably in corporate or academic settings.
Certification in areas like GenAI, Databricks etc.

Preferred Qualifications / Skills

Hands-on experience in data preprocessing, exploratory data analysis, and feature engineering to support ML and AI model development.
Knowledge of machine learning, deep learning, and NLP techniques for classification, regression, clustering, and predictive modelling.
Proficiency in Python, SQL, ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn), and familiarity with cloud platforms (AWS, Azure, GCP) and data visualization tools.
Experience integrating models into dashboards, analytics tools, and prototype AI applications.
Familiarity with MLOps practices, model monitoring, CI/CD workflows, and cloud platforms (AWS, Azure, GCP).
Ability to translate business problems into data-driven solutions and communicate insights to stakeholders effectively.

Notice Period- max 15-20 days

neha.singh@genpact.com

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