Senior Associate AI/ML Engineer
Publicis Groupe (company site, opens in a new tab)8+ yrsGurugramOn-siteDirect career pageEst. 28–45 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of secure, scalable Azure-native AI systems including ML, generative AI, multimodal AI, and agent-based automation.
- Own model development lifecycle, pipeline optimization, deployment, and contribute to enterprise MLOps and LLMOps best practices.
- Define and govern enterprise AI architecture roadmap aligned to Microsoft Azure ecosystem and ensure compliance with security, privacy, and responsible AI principles.
Minimum Requirements
- 8+ years of experience in AI/ML, data platforms, or advanced analytics with minimum 3+ years in Senior/Principal Engineer roles.
- Expertise in Microsoft Azure AI & data services including Azure AI Studio, Azure OpenAI, Azure Machine Learning, Azure Data Lake, Synapse, AKS, and GPU-backed compute.
- Strong hands-on experience with Large Language Models (LLMs), embeddings, fine-tuning, multimodal AI, Retrieval-Augmented Generation (RAG), vector search, and semantic retrieval.
- Bachelor’s degree in Computer Science, Engineering, or related field.
Ideal Candidate Profile
- Experienced in architecting enterprise-scale AI platforms and pipelines specifically within Microsoft Azure ecosystem.
- Demonstrated capability in operationalizing MLOps and LLMOps practices at scale including CI/CD, monitoring, and governance.
- Skilled in translating business/domain needs into scalable, compliant AI architectures and acting as a technical thought leader advising senior leadership.