Generative AI Engineer

Hands-on experience in application development in one or more areas MongoDB, Redis, Angular/React Frameworks, Containerization. Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem. Hands on experience building frameworks using MLFlow, KubeFlow, Fine – Tuning techniques, Inference Frameworks Building API based application leveraging FAST API services, JWT Integration, API Gateway Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs (e.g. VS Code rather than Jupyter Notebooks), Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible) Job responsibilities:

Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements. Utilizes multiple architectural components (across data, application, business) in design and development of client requirements. Performs Continuous Integration and Continuous Development (CI-CD) activities. Contributes to story refinement and definition of requirements. Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle.

#J-18808-Ljbffr