Onlano
AI / Machine LearningHybrid

Machine Learning Specialist

Publicis Global Delivery - Company

Bangalore, Karnataka, ๐Ÿ‡ฎ๐Ÿ‡ณ IndiaFull-time - Lead (7-10 years)0 applicantsCloses Jun 21, 2026

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Job description

Job details

  • Location: Bangalore, Karnataka
  • Work mode: Hybrid
  • Employment type: Full-time (Not an internship)
  • Salary: Salary details are available in the employer description.

Role overview

Publicis Global Delivery is hiring a Gen-AI ML Engineering Specialist in Bangalore, Karnataka. This is a hybrid position requiring 7-9 years of experience in Machine Learning, Large Language Models, and Retrieval-Augmented Generation systems. The role focuses on building, fine-tuning, deploying, and scaling enterprise-grade AI/ML solutions using modern cloud ML platforms. This is a full-time opportunity with a hybrid work model requiring 2 days per week in the office. Salary details are available in the employer description.

Job details

This full-time Machine Learning Specialist position is based in Bangalore, Karnataka, with a hybrid work arrangement. Candidates will work on-site 2 days per week and remotely for the remainder. The role requires strong expertise in generative AI, LLMs, and RAG systems, with hands-on experience in cloud-based ML platforms and enterprise AI solution deployment.

Responsibilities

  • Build and deploy enterprise-grade AI/ML solutions using cloud platforms
  • Fine-tune and optimize Large Language Models for production use
  • Design and implement Retrieval-Augmented Generation systems
  • Scale ML infrastructure and pipelines for enterprise applications
  • Collaborate with cross-functional teams on AI solution architecture

Requirements

  • 7-9 years of experience in Machine Learning and AI engineering
  • Strong expertise in Large Language Models and generative AI
  • Hands-on experience with RAG systems and vector databases
  • Proficiency in cloud ML platforms (AWS, Azure, or GCP)
  • Strong programming skills in Python and ML frameworks
  • Experience deploying and scaling production ML systems

Benefits

  • Hybrid work model with flexible arrangements
  • Work on cutting-edge generative AI projects
  • Collaborative global delivery team environment
  • Professional development opportunities

Keywords

Machine LearningLLMGenerative AIRAGPythonCloud MLDeep LearningNLP