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Specialized ML role with seniority and a reputable employer yields moderate candidate competition.
Cloud, microservices, and ML skills are broadly transferable across industries, so sensitivity is low.
Many mandatory senior technical skills across ML, cloud, microservices, and CI/CD but no explicit years.
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Design, develop, test, and deploy software systems and modules including cloud-based and AI/ML-integrated microservices.
Accountable for code writing, automated testing execution, code refactoring, and participation in multi-team collaboration and code reviews.
Prototype multi-vendor infrastructure solutions and present them internally or to clients, working with large-scale distributed systems handling structured and unstructured data.
Bachelor's degree or equivalent in Computer Science, Engineering, or related field.
Seasoned experience in software development including microservices, RESTful APIs, and handling large data sets with ML/AI algorithms.
Strong expertise in multiple programming languages (C/C++, C#, Java, JavaScript, Python, Node.js) and familiarity with cloud platforms (AWS, GCP, Azure).
Work Experience Required: Seasoned experience working with geo-distributed teams and full software delivery lifecycle tools under Agile/Lean methodologies.
Experienced in architecting and developing cloud-native microservices and integrating ML/AI within production environments.
Proficient in agile software delivery pipelines, CI/CD, and test-driven development with a focus on scalable, large distributed systems.
Able to work effectively across multiple teams and stakeholders in dynamic, hybrid environments, with a strong focus on technical excellence and operational reliability.