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Tier-1 brand, metro location, and mid-level generalist AI role increase candidate competition.
Role requires specialized ML and cloud skills, moderately limiting cross-industry portability.
Multiple mandatory technical skills and domain expertise make shortlisting highly selective.
Designs, develops, tests, and deploys micro-services and software modules with a focus on cloud-based and AI/ML data processing systems.
Accountable for writing, refactoring, and reviewing code, executing automated tests, and contributing to CI/CD and software deployment.
Collaborates across teams and product groups to deliver scalable distributed systems and demonstrations, including working with APIs and telemetry data.
Bachelor's degree in Computer Science, Engineering, or related field mandatory.
Seasoned experience in software development including micro-services, RESTful APIs, cloud architecture (AWS, GCP, Azure), and working with large data sets applying ML/AI algorithms.
Proficient in programming languages such as C/C++, C#, Java, JavaScript, Python, Node.js and familiar with SQL and NoSQL databases including Elasticsearch, MongoDB, Cassandra.
On-site working required; Notice period not explicitly mentioned in the JD.
Expert in cloud-native architectures and micro-services design with strong hands-on skills in multiple programming languages and API product development.
Experienced in agile, lean, CI/CD practices, comfortable working with geo-distributed teams and across full software delivery lifecycle.
Capable of handling large scale distributed systems involving structured and unstructured data, telemetry, and ML/AI algorithms with strong debugging and analytical skills.