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Tier-1 employer, mid-level ML/software role, broad technical requirements increase competition.
Core software and ML skills transfer across industries, though ML domain experience moderately matters.
Multiple required technical areas (ML, cloud, microservices) but no firm years specified, yielding moderate strictness.
Support design, development, and testing of software components, including cloud-based tools and microservices.
Prototype multi-vendor infrastructure solutions and demonstrate them to internal teams and clients.
Collaborate on software deployment, integration, automation, and maintain related documentation and code reviews.
Bachelor's degree in Computer Science, Engineering or related field.
Moderate experience in software development including microservices, RESTful APIs, Agile/Lean methodologies, and full software delivery lifecycle tools.
Working knowledge of cloud architectures (AWS, GCP, Azure) and programming languages such as C/C++, C#, Java, Python, JavaScript, Node.js.
Work Experience Required: Moderate level experience working with geo-distributed teams and handling innovation, production phases, and multiple stakeholders.
Developing subject matter expertise in cloud architecture, container runtime (Kubernetes, Docker), and API product development.
Experience with large data sets, ML/AI algorithm application, SQL/NoSQL databases (Elasticsearch, MongoDB, Cassandra).
Comfortable working in hybrid, dynamic environments, collaborating across geographic teams and taking ownership of software components.