Senior Data Scientist (AI Operations)(6-9 years exp only)
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-senior, metro-based ML role with popular Data Scientist title but specialized GenAI skills reduces broad competition.
Requires specialized GenAI, LLM, production AI operations and compliance experience, limiting cross-industry transferability.
Mandatory 6-9 years plus specific GenAI, LLM, and production AI operations expertise enforces high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead enhancement, maintenance, and optimization of AI and GenAI production applications including resolution of complex issues and performance improvements.
Manage customer onboarding, release planning, deployment, and post-release support for AI solutions ensuring successful adoption and production readiness.
Oversee AI governance, compliance, stakeholder communication, and mentor junior team members across AI Operations initiatives.
Minimum Requirements
Work Experience Required: 6-9 years in data science or AI operations roles.
Strong technical expertise in Generative AI, including knowledge of LLMs, LangChain, Agentic AI, and RAG architectures.
Advanced proficiency in Python and experience with ML solution development, deployment, and production support.
Experience with AI governance, security, compliance, and stakeholder management.
Ideal Candidate Profile
Experienced in managing production AI applications with a focus on operational excellence and continuous improvement.
Familiar with complex release management and customer onboarding processes in AI-based solutions.
Able to lead cross-functional partnerships and provide technical and strategic guidance in AI Operations environments.