Generative AI Engineer

Job Title: Senior Specialist – Data Sciences

Location:

Experience:

Role Overview

Senior Specialist – Data Sciences

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

  .