Generative AI Engineer

3 days ago

Pune, Maharashtra, India LTIMindtree Full time

Job Title: Senior Specialist – Data Sciences

Location:
PAN India

Experience:
8–15 years

Role Overview

We are seeking a highly skilled
Senior Specialist – Data Sciences
to join our team. The ideal candidate will have deep expertise in advanced data science techniques, machine learning, and AI-driven solutions, with strong proficiency in
MLOps
,
GenAI (LLMOps)
, and
Python-based Data Science
. This role involves designing, deploying, and optimizing AI/ML models for enterprise-scale applications, ensuring robust operationalization and governance.

Key Responsibilities

  • Design and implement scalable
    Machine Learning
    and
    Deep Learning
    models for AIOps and predictive analytics.
  • 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 processes.
  • Optimize model performance and ensure compliance with data governance and security standards.
  • Drive innovation through research and application of emerging AI technologies.

Required Skills

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

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • 7–11 years of experience in Data Science and AI/ML roles.
  • Proven track record of deploying ML models in production environments.
  • Strong understanding of cloud platforms and containerization (Docker, Kubernetes).

Preferred

  • Experience with
    Azure ML
    ,
    AWS SageMaker
    , or similar platforms.
  • Familiarity with
    transformer-based architectures
    and
    generative AI frameworks
    .
  • Knowledge of
    data engineering
    and
    feature store management
    .

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