Back
Large brand but senior AI-specialist role limits applicant density, yielding moderate competition.
Cloud-native AI services skills transferable across industries but require ML-specific experience.
Multiple specialized requirements in cloud, ML, microservices, and tooling increase screening rigor.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and test software systems and modules with a focus on cloud-based AI/machine learning applications in a micro-services environment.
Accountable for writing, testing, refactoring code and managing automated testing and software deployment.
Collaborate across multiple teams to build, integrate, and maintain large scale distributed systems and APIs involving structured and unstructured data.
Bachelor's degree in Computer Science, Engineering, or related field.
Seasoned software development experience including micro-services, RESTful APIs, cloud architecture (AWS, Azure, GCP), and ML/AI algorithms.
Strong programming skills in languages such as C/C++, C#, Java, JavaScript, Python, Node.js.
Work Experience Required: Seasoned experience with geo-distributed teams and tools across full software lifecycle. Hybrid workplace type.
Experienced in handling end-to-end development and deployment in cloud environments using container runtimes (Kubernetes, Docker).
Deep expertise with Agile, Lean, CI/CD practices and ability to collaborate effectively across multiple teams.
Proven ability to work with large datasets and apply proper machine learning and AI algorithms within micro-services architectures.