Assistant Manager – Data Scientist

Genpact

. Design, develop, and deploy machine learning and generative AI models for business needs .

Posted 9/30/2026full-timeBangalore • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying machine learning and generative AI models, with a strong focus on NLP techniques and large-scale data management. Proficient in utilizing cloud platforms like Azure, AWS, or GCP to implement scalable AI solutions.

Highest-signal resume keywords

Machine Learning ExpertiseGenerative AI DevelopmentNLP TechniquesPython ProgrammingCloud-Based AI Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative AILarge Language ModelsPythonSQLScikit-learnTensorFlowPyTorchKerasAutoML

Tools & Technologies

AzureAWSGCP

Certifications & Qualifications

Alteryx Designer Core CertificationCertificate in Deep LearningProfessional Machine Learning Engineer

Industry Keywords

Data QualityData IntegrityComplianceNLPText UnderstandingSentiment Analysis

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKerasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy machine learning and generative AI models for business needs
Work with large-scale datasets using Python, SQL, and industry-standard libraries
Develop and fine-tune LLM-based solutions for real-world applications
Ensure data quality, integrity, compliance with best-practice frameworks, and coding standards
Collaborate with engineering, product, and business teams to translate requirements into AI-driven solutions
Apply NLP techniques for text understanding, summarization, and sentiment analysis
Implement scalable and efficient solutions on Azure, AWS, or GCP
Research and experiment with Generative AI, Agentic AI models, and advanced frameworks

Requirements

What you’ll need

Bachelor's degree in Business Analytics, Computer Science, or Statistics, or Master's degree in Data Science
Expertise in AI/ML, Generative AI, and Large Language Models (LLMs)
Strong programming skills
Hands-on experience with AI/ML libraries
Exposure to cloud-based AI services
Experience with Python and SQL
Experience with Scikit-learn, TensorFlow, PyTorch, Keras, and AutoML
Experience developing and fine-tuning LLM-based solutions, including GPT-3, GPT-4, or similar models
Knowledge of NLP techniques for text understanding, summarization, and sentiment analysis
Experience with Azure, AWS, or GCP
English language proficiency at Intermediate - B1 level
Certifications listed: Alteryx Designer Core Certification, Certificate in Deep Learning, Professional Machine Learning Engineer

Benefits

Comp & perks

Hands-on experience, mentorship, and world-class learning opportunities
AI-powered transformation and innovation opportunities
Values-driven culture based on integrity and inclusion
Equal opportunity employment