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Tier-1 brand, mid-level AI role in a metro with broad, popular skillset drives high competition.
Core ML/Generative AI skills are transferable, but domain-specific AIOps and network knowledge increases sensitivity.
Explicit 3+ years, mandatory ML/Generative AI skills and deployment/MLOps requirements enforce high shortlisting strictness.
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Design, develop, and deploy AI-powered applications and automation solutions to improve network, infrastructure, and operational outcomes.
Build and maintain scalable AI agents, APIs, microservices, and intelligent automation using Generative AI and modern AI frameworks.
Lead technical design discussions and mentor engineers while integrating AI capabilities with monitoring and infrastructure management platforms.
Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
3+ years of software engineering experience with proficiency in Python, JavaScript, TypeScript, or similar languages.
Hands-on experience with AI/ML and Generative AI platforms like Azure OpenAI, OpenAI, Anthropic Claude, including AI agents, RAG architectures, vector databases, and prompt engineering.
Experience with AI/ML deployment practices including MLOps, CI/CD, containerization, monitoring, and lifecycle management.
Experience applying AI/ML and Generative AI technologies to network operations, infrastructure engineering, cloud platforms, IT operations, or observability use cases.
Demonstrated ability to lead technical initiatives and mentor engineering teams in cross-functional environments.
Familiarity with network concepts, cloud infrastructure, operations monitoring tools (e.g., Prometheus, Grafana, Splunk), and IT service management processes.