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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, Bangalore metro location, and broad ML/cloud skillset drive high competition.
Core ML skills are transferable but reliability/SRE and agentic AI experience increase domain specificity.
Explicit 10+ years requirement plus specific ML, cloud, and tooling skills creates strict shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Analyze operational and reliability data to identify issues, build predictive models for outages and maintenance, and optimize system performance.
Develop and maintain dashboards, real-time monitoring tools, and automate alerts to support incident management and proactive incident prevention.
Leverage AI agent frameworks to automate operational workflows and design agentic AI solutions for reliability and operations use cases.
Minimum Requirements
10+ years of experience in data science, analytics, or related fields.
Bachelor’s in Statistics, Economics, Analytics, Mathematics, Computer Science, IT or related field with 4 years experience; or Master’s with 2 years experience; or 6 years experience in analytics or related field.
Proficiency in Python or R, SQL, data engineering, cloud platforms (GCP, Azure, AWS), big data tools, ML frameworks, and dashboard visualization tools (PowerBI, Tableau, Looker).
Experience or knowledge in reliability engineering concepts, incident management, operational analytics, and AI Agent frameworks for operational automation.
Ideal Candidate Profile
Experienced in integrating advanced data science with operational reliability and incident management in large-scale technology environments.
Skilled in cross-functional collaboration with SREs, engineering, and business stakeholders to translate challenges into data-driven, actionable projects.
Familiar with AI agentic architectures, workflow orchestration, and operational automation to enhance system resilience and performance.