Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer, hybrid metro role, generalist AI-engineer title, and broad skillset drives high competition.
Role requires AI, cloud, microservices expertise, making cross-industry transfer moderately sensitive.
No explicit years but many mandatory technical and ML skills creates moderate shortlisting strictness.
Design, develop, and test software modules and applications, including cloud-based, microservices environments utilizing ML/AI algorithms on structured and unstructured data.
Support prototype development for multi-vendor infrastructure and present solutions internally and to clients.
Collaborate with product teams to deliver software components, integrate solutions through automation and coding, and assist in code refactoring and code reviews.
Bachelor's degree in Computer Science, Engineering or related field.
Moderate experience in software development, Agile/Lean methodologies, CI/CD concepts, and developing microservices and RESTful APIs.
Working knowledge of multiple public cloud architectures (AWS, GCP, Azure) and programming languages including C/C++, C#, Java, JavaScript, Python, Node.js.
Work Experience Required: Moderate level experience working with geo-distributed teams and full software delivery lifecycle tools.
Developing subject matter expert in cloud architecture and microservices software design, with hands-on programming and debugging skills.
Experience working in Agile, fast-paced, and dynamic environments collaborating with diverse teams.
Familiarity with ML/AI algorithms applied to large datasets and proficiency in automation and continuous delivery practices.