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Tier-1 employer, metro role, mid-level generalist ML/SWE, and broad full-stack skill requirements increase competition.
Core skills (ML, microservices, cloud) are transferable across industries, enabling cross-industry fit.
Multiple mandatory technical skills and domain experience required, but no explicit years specified.
Design, develop, and test software modules and applications focusing on micro-services, APIs, telemetry data, and ML/AI algorithms.
Support prototype development for multi-vendor infrastructure and present solutions internally or to clients.
Contribute to software deployment, automated testing, code reviews, and maintain technical and user documentation in collaboration with product teams.
Bachelor's degree or equivalent in Computer Science, Engineering or related field.
Moderate experience in software development including micro-services and RESTful API development.
Working knowledge of multiple public cloud platforms (AWS, GCP, Azure) and programming languages like Java, Python, C/C++, C#, JavaScript, Node.js.
Work Experience Required: Moderate level experience working with geo-distributed teams and full software delivery lifecycle tools in Agile/Lean environments.
Developing subject matter expert comfortable working with large data sets and applying ML/AI algorithms.
Experience thriving in dynamic, fast-paced hybrid work environments with cross-functional teams.
Familiarity with cloud-based infrastructure, container runtimes (Kubernetes, Docker), CI/CD pipelines, and test-driven development practices.