Job Description & How to Apply Below
About the Role
As our AI Lead, you will:
Define and own the organization’s AI vision and roadmap
Architect cloud‑native, scalable AI/ML solutions
Lead end-to-end model lifecycle (data → model → MLOps → deployment)
Build and integrate LLM, Generative AI, NLP, and predictive solutions
Ensure responsible AI, governance, and compliance across all initiatives
Collaborate with Data Engineering, Product, and Business teams to deliver measurable outcomes
Key Responsibilities
Design AI/ML architectures on Azure / AWS / GCP
Build MLOps frameworks for CI/CD, monitoring, and lifecycle management
Lead development of LLM, RAG, NLP, Computer Vision, and GenAI solutions
Translate business problems into impactful AI use cases
Evaluate emerging tools, models, and frameworks for enterprise adoption
Drive responsible AI practices, including security, privacy, and explainability
What We’re Looking For
8–15+ years of experience in Data, AI/ML,
Strong hands-on background in Python, ML/DL frameworks (Tensor Flow/PyTorch)
Cloud AI platforms (Azure AI / AWS Sagemaker / Vertex AI)
Data engineering (Spark, Databricks, pipelines)
Experience leading AI/ML teams or large-scale implementations
Deep understanding of LLMs, vector DBs, RAG systems, and GenAI architectures
Strong communication, stakeholder engagement, and leadership skills
Nice-to-Have
Cloud certifications (Azure AI Engineer / AWS ML Specialty)
Experience with responsible AI frameworks and enterprise governance
Industry experience (finance, healthcare, retail, telecom, etc.)
Why Join Us?
Opportunity to shape and scale our AI ecosystem from the ground up
Lead high-impact AI initiatives across the enterprise
Work with cutting-edge technologies in a collaborative innovation-focused culture
Location :
Chennai, Bangalore, Pune, Coimbatore
Regards,
TA Team
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