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Tier-1 brand, metro location, and broad multi-skill requirements raise candidate competition.
ML/AI, cloud, and microservices skills transfer across industries, but AI-specific expertise favors similar domains.
Multiple mandatory ML/AI, cloud, microservices, and database skills increase filtering despite no explicit years requirement.
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Design, develop, and test software systems focusing on AI/ML algorithms applied to telemetry data in a micro-services architecture.
Lead development of APIs and integration of multi-vendor cloud infrastructure prototypes, presenting solutions internally and to clients.
Accountable for code writing, automated testing, code refactoring, cross-team code reviews and contributing to deployment and documentation.
Bachelor's degree or equivalent in Computer Science, Engineering or related field.
Seasoned experience in software development including micro-services, RESTful APIs, and working with large data sets applying ML/AI algorithms.
Strong proficiency in multiple programming languages such as C/C++, C#, Java, JavaScript, Python, Node.js and experience with SQL and NoSQL databases.
Experience with cloud platforms (AWS, Azure, GCP), container runtimes (Kubernetes, Docker), agile methodologies and CI/CD tools.
Work Experience Required: Seasoned experience working with geo-distributed teams through full software delivery lifecycle phases.
Experienced in leading design and development of complex AI/ML driven software solutions in cloud-native micro-services environments.
Skilled collaborator able to coordinate across multiple teams including product, deploying scalable, distributed systems with automation.
Proficient in leveraging diverse cloud infrastructures and modern DevOps practices in dynamic, multi-stakeholder settings.