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Genpact

Global professional services for data-driven operations

AI Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedHybrid

About the Job

Requirements

  • An associate degree or diploma in Statistics, or a bachelor’s degree in Artificial Intelligence, Computer Science, Mathematics, or Software Engineering.
  • Required skills include AI/ML operations, artificial intelligence, deep learning algorithms, machine learning, Microsoft Azure, natural language processing, PyTorch, and TensorFlow.
  • English proficiency at C2 level is required.

Responsibilities

  • Develop and train machine learning models on structured datasets under senior engineer guidance and code review.
  • Write production-ready Python code for data preprocessing, feature engineering, and model evaluation pipelines.
  • Execute assigned analytics work-packets, translating requirements into reproducible Jupyter notebooks and scripts.
  • Collaborate with data engineers to validate data quality and resolve pipeline issues blocking model development.
  • Document model assumptions, hyperparameters, and performance metrics for knowledge transfer and audit compliance.
  • Participate in code reviews, testing, and deployment of AI/ML solutions to development and staging environments.
  • Support senior team members in exploratory data analysis and proof-of-concept development for new use cases.

About the Company

Genpact

Global professional services for data-driven operations

Genpact is a professional services firm that helps other companies transform their operations using data, analytics, and artificial intelligence. It started inside General Electric as a back-office unit and became an independent company in 2005, growing into a global business with a focus on digital transformation and AI-powered operations. Genpact's offerings include applying data and AI to automate and optimize business processes, supported by its Cora AI platform and strategic acquisitions like XponentL Data. It shifts from traditional outsourcing to building intelligent, autonomous operations for clients. The company aims to deliver measurable business impact by turning operational processes into data-driven, automated systems that improve efficiency and decision-making.

Company size
10,001+
Company stage
IPO
Headquarters
Amherst, New York
Founded
1997

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