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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, hybrid role, and Bangalore metro location increase candidate density and competition.
Requires specialized ML/GenAI production experience, making skills transferable but domain-specific.
Explicit 7+ years, advanced degree, and production ML/GenAI requirements enforce strict screening filters.
Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end lifecycle of strategic AI/ML initiatives from problem definition to production deployment and business adoption.
Design, develop, and deploy machine learning, deep learning, and Generative AI models to enhance forecasting, operational efficiency, and sales intelligence.
Partner cross-functionally with Product, Engineering, Sales, and business teams to identify high-impact opportunities and drive scalable AI-driven solutions.
Minimum Requirements
Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative discipline.
7+ years of industry experience applying machine learning and statistical techniques to solve complex business problems.
Proficiency in Python programming and experience building production-grade ML applications and scalable pipelines.
Experience with large-scale structured and unstructured datasets using Spark, SQL, or distributed computing frameworks.
Ideal Candidate Profile
Experienced in building and deploying advanced AI/ML models including Generative AI solutions and multi-agent autonomous workflows.
Strong cross-functional collaborator who can translate ambiguous business problems into scalable technical solutions and influence both technical and non-technical stakeholders.
Technical leadership abilities demonstrated by mentoring junior engineers, driving engineering excellence, and influencing technical direction across multiple projects.