Generative AI Engineer

Job Title: Senior Specialist – Data Sciences

Location:

Experience:

Role Overvi

d Senior Specialist – Data Scienc

e.Key Responsibili

• tiesDesign and implement scala

  ble Machine Lear

  ning

  and Deep Lear

  ning models for AIOps and predictive analyt
• ics.Develop and maint

  ain MLOps pipel

  ines for continuous integration and deployment of ML mod
• els.Work

  on Generativ

  e AI solutions, includ

  ing LL

  MOps, for enterprise use ca
• ses.Collaborate with cross-functional teams to integrate AI/ML solutions into business proces
• ses.Optimize model performance and ensure compliance with data governance and security standa
• rds.Drive innovation through research and application of emerging AI technolog

ies.Required

• Skill

  sMLOps: End-to-end ML lifecycle management, CI/CD for ML m

• odels.GenAI –

  LLMOps: Large Language Model operationalization and fine-t

• uning.Python – Data S

  cience: Advanced programming and data manipul

• ation.Machine Learning –

  AIOps: Predictive analytics, anomaly detection, autom

• ation.Deep Learning –

  AIOps: Neural networks, computer vision

, NLP.Qualif

• icationsBachelor’s or Master’s degree in Computer Science, Data Science, or relate
• d field.7–11 years of experience in Data Science and AI/M
• L roles.Proven track record of deploying ML models in production envir
• onments.Strong understanding of cloud platforms and containerization (Docker, Kube

rnetes).

• PreferredExperi

  ence wit

  h

  Azure ML, AWS

  SageMaker, or similar
• platforms.Familia

  rity with transformer-based arc

  hitec

  tures and generative AI

  f
• rameworks.Kno

  wledge of data e

  ngine

  ering and feature store

  m