Stash Talent Services · 7 hours ago
GenAI Data Engineer or Scientist
Stash Talent Services is seeking a GenAI Data Engineer or Scientist to build the GenAI platform from the ground up. The role involves coding solutions, performing CI-CD activities, and contributing to story refinement and requirement definitions.
Staffing & Recruiting
Responsibilities
Code solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
Utilize multiple architectural components (across data, application, business) in design and development of client requirements
Perform Continuous Integration and Continuous Development (CI-CD) activities
Contribute to story refinement and definition of requirements
Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle
Qualification
Required
Must have experience with building the GenAI platform from the ground up
Expert Python development skills
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
Experience building API based application leveraging FAST API services, JWT Integration, API Gateway
Experience 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)
Company
Stash Talent Services
Funding
Current Stage
Early StageCompany data provided by crunchbase