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Entry-level generalist ML role with broad skillset at a known firm yields moderate applicant competition.
ML/AI and cloud skills are transferable across industries but require domain knowledge, so medium sensitivity.
Broad technical skillset and ML familiarity required despite no fixed years increases filtering to medium.
Assist in designing, developing, and testing software modules/applications, including cloud-based and micro-services environments.
Develop functionality involving APIs, telemetry data, and running ML/AI algorithms on structured and unstructured data.
Support software deployment, automated testing, and integration using third-party software in collaboration with product teams.
Bachelor’s degree in Computer Science, Engineering, or related field.
Entry level experience in software development including micro-services and RESTful APIs.
Basic knowledge of cloud architectures (AWS, GCP, Azure) and container runtimes (Kubernetes, Docker).
Work Experience Required: Entry level experience as specified in JD, including working with geo-distributed teams and full software delivery lifecycle tools.
Developing subject matter expert in multiple programming languages such as C/C++, Java, Python, JavaScript.
Familiarity with agile, lean practices, CI/CD concepts, and test-driven development.
Ability to work with large data sets and apply ML/AI algorithms, and skilled in debugging and software design.