Lead Data Scientist
3 days ago
Chennai, Tamil Nadu, India
KANINI
Full-time
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We’re looking for an experienced AI Lead to drive our enterprise AI strategy, design scalable architectures, and lead the implementation of cutting‑edge AI/ML solutions. If you enjoy solving complex problems, shaping future‑ready AI capabilities, and leading cross‑functional innovation—this role is for you.
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 (TensorFlow/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
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 (TensorFlow/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