AI Platform Engineer

About the Company

Re:Sources is the backbone of Publicis Groupe, the world's third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management to help Publicis Groupe agencies do what they do best: create and innovate for their clients.

In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications and tools to enhance productivity, encourage collaboration and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients.

About the Role

We are seeking an AI Platform Engineer with strong Microsoft ecosystem expertise to design, build, and manage AI/ML platforms at scale. The role involves enabling Generative AI, multimodal AI, and enterprise-grade AI services using Azure technologies. The role involves enabling Generative AI, multimodal AI, and enterprise-grade AI services using Azure technologies.

Responsibilities

• Architect and maintain AI/ML platforms on Microsoft Azure for training, fine-tuning, and inference.
• Implement Infrastructure-as-Code using ARM, Bicep, or Terraform.
• Deploy and manage containerized AI workloads using Azure Kubernetes Service (AKS).
• Optimize GPU clusters for AI model training and inference.
• Build CI/CD pipelines for AI workloads using Azure DevOps.
• Integrate with Azure Data Lake, Azure Video Indexer, and Azure Cognitive Services for multimodal AI.
• Implement MLOps using Azure Machine Learning for model lifecycle management.
• Ensure security, compliance, and observability using Azure Monitor, Key Vault, and RBAC.

Required Skills

• Strong experience with Microsoft Azure (AKS, AML, ADLS, Cognitive Services).
• Proficiency in Python for automation and ML pipelines.
• Hands-on with Kubernetes, Docker, and GPU orchestration.
• Knowledge of DevOps or MLOps concepts and tools.
• Familiarity with LLM frameworks and multimodal AI architectures.

Preferred Skills

• Experience deploying Generative AI or multimodal AI systems on Azure.
• Strong understanding of AI governance and security best practices.

Additional Details

• Location : Gurgaon, Pune, Bangalore
• Relevant Years of Experience : 6-12 Years

*Please apply only if you are immediate joiner or join within a week*