Generative AI Engineer

About the Company

LTIMindtree is committed to delivering innovative solutions that drive business transformation and enhance operational efficiency. Our mission is to empower organizations through advanced technology and data-driven insights, fostering a culture of collaboration and continuous improvement

.About the Ro

ed Senior Specialist – Data Science

ce.E

exp)Loca

IndiaResponsibi

• lities
  Design and implement scalable Machine Learning and Deep Learning models for AIOps and predictive ana
• lytics.Develop and maintain MLOps pipelines for continuous integration and deployment of ML
• models.Work on Generative AI solutions, including LLMOps, for enterprise use
• cases.Collaborate with cross-functional teams to integrate AI/ML solutions into business pro
• cesses.Optimize model performance and ensure compliance with data governance and security sta
• ndards.Drive innovation through research and application of emerging AI techno

logies.Qualif

• ications
  Bachelor’s or Master’s degree in Computer Science, Data Science, or relat

• ed field.7–11 years of experience in Data Science and AI/

• ML roles.Proven track record of deploying ML models in production envi
• ronments.Strong understanding of cloud platforms and containerization (Docker, Kub

ernetes).Requi

• red Skills
  MLOps: End-to-end ML lifecycle management, CI/CD for
• ML models.GenAI – LLMOps: Large Language Model operationalization and f
• ine-tuning.Python – Data Science: Advanced programming and data ma
• nipulation.Machine Learning – AIOps: Predictive analytics, anomaly detection,
• automation.Deep Learning – AIOps: Neural networks, computer v

ision, NLP.Pref

• erred Skills
  Experience with Azure ML, AWS SageMaker, or simil
• ar platforms.Familiarity with transformer-based architectures and generative A
• I frameworks.Knowledge of data engineering and feature stor

e management.Equal Opportu

nity Statement
LTIMindtree is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for