Back
Tier-1 brand, metro location, and broad AI/automation skillset increase applicant competition.
AI/automation engineering skills are industry-transferable, though enterprise telecom experience is a bonus.
Explicit 10+ year requirement and mandatory ML/GenAI, production deployment, and integration skills raise strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and deliver AI-driven automation solutions across digital platforms and large-scale distributed systems for enterprise clients.
Develop, deploy, and maintain machine learning and GenAI models integrated via APIs and automation frameworks to enhance operational automation, decision support, and workflow optimization.
Collaborate with global cross-functional teams to ensure scalable, production-ready deployments that improve service reliability, network operations, platform performance, and customer experience.
Minimum 10 years of work experience, with 3–7 years preferred in relevant roles.
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field is mandatory.
Proven expertise in Python programming, AI/ML solution development, GenAI, automation frameworks, APIs, system integration, data pipelines, feature engineering, and model evaluation.
Experience deploying AI/ML solutions in cloud-based or distributed production environments; located in India.
Demonstrated ability to apply AI/ML and GenAI techniques effectively to enterprise-scale automation and operational challenges.
Experience working in distributed, cross-functional, and global teams with a focus on scalable, production-grade solutions.
Background in telecom, communications platforms, network operations, service assurance, or consulting delivery is advantageous but not mandatory.