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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, and in-demand ML/GenAI skills create moderate competition.
Specialized ML/GenAI and production skills are moderately transferable across industries.
Explicit 7+ years, Master's/PhD, production ML and distributed systems experience required.
Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end lifecycle of strategic AI/ML initiatives including design, development, deployment, and business adoption.
Partner cross-functionally with Product, Engineering, Sales, and business stakeholders to identify and deliver scalable AI-driven solutions addressing ambiguous business problems.
Drive AI innovation by designing and deploying advanced AI models and systems including Generative AI, LLMs, and agentic AI workflows to enhance operational efficiency and business outcomes.
Minimum Requirements
Master's or PhD in Computer Science, AI, Machine Learning, or related quantitative discipline.
7+ years of industry experience applying machine learning and statistical techniques to complex business problems.
Proficient in Python programming with experience building production-grade ML applications and scalable ML pipelines.
Work Experience Required: 7+ years
Ideal Candidate Profile
Experienced in deploying production-grade Generative AI applications using LLMs, RAG, AI agents, and orchestration frameworks.
Proven ability to lead cross-functional technical initiatives and mentor junior scientists or engineers.
Familiar with distributed data systems (e.g., Spark, Hadoop) and modern AI frameworks (e.g., LangChain, Semantic Kernel) to build scalable, maintainable AI solutions.