Purple Drive LLC
Posted 22 hours ago | Updated 22 hours ago
Overview
On Site
$50 - $60
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Skills
Product Owner
Technical
DevOPs
Education & Experience
You can get further details about the nature of this opening, and what is expected from applicants, by reading the below. * Bachelor's degree in Computer Science, Engineering, or related field; Master's or MBA preferred. * 7-10 years of experience in product management or technical leadership roles, preferably with exposure to AI/ML delivery or enterprise software development. * Proven experience working in complex enterprise ecosystems with hybrid delivery teams.
Technical Depth * Solid understanding of the AI/ML lifecycle, model deployment pipelines, and AI observability. * Familiarity with tools like LangChain, LlamaIndex, Vertex AI, AWS Bedrock, OpenAI APIs, Azure OpenAI, or equivalents. * Expertise in SDLC toolchains: * Atlassian Suite: Jira (backlog mgmt), Bitbucket (version control), Confluence (documentation) * Git, GitHub/GitLab * CI/CD: Jenkins, CircleCI * Artifact Repositories: Artifactory, Nexus * Testing & QA: Postman, Selenium, PyTest * Able to read/interpret code (Python, JavaScript, Shell), and engage with technical design discussions.
Soft Skills & Leadership * Strong communication and stakeholder management skills with the ability to bridge executive-level vision with technical execution. * Comfortable leading multi-disciplinary teams across AI, data engineering, cloud, and DevOps Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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You can get further details about the nature of this opening, and what is expected from applicants, by reading the below. * Bachelor's degree in Computer Science, Engineering, or related field; Master's or MBA preferred. * 7-10 years of experience in product management or technical leadership roles, preferably with exposure to AI/ML delivery or enterprise software development. * Proven experience working in complex enterprise ecosystems with hybrid delivery teams.
Technical Depth * Solid understanding of the AI/ML lifecycle, model deployment pipelines, and AI observability. * Familiarity with tools like LangChain, LlamaIndex, Vertex AI, AWS Bedrock, OpenAI APIs, Azure OpenAI, or equivalents. * Expertise in SDLC toolchains: * Atlassian Suite: Jira (backlog mgmt), Bitbucket (version control), Confluence (documentation) * Git, GitHub/GitLab * CI/CD: Jenkins, CircleCI * Artifact Repositories: Artifactory, Nexus * Testing & QA: Postman, Selenium, PyTest * Able to read/interpret code (Python, JavaScript, Shell), and engage with technical design discussions.
Soft Skills & Leadership * Strong communication and stakeholder management skills with the ability to bridge executive-level vision with technical execution. * Comfortable leading multi-disciplinary teams across AI, data engineering, cloud, and DevOps Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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