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DE&A - AIML - Machine Learning - Python at Zensar Technologies UK Ltd
Hyderabad, Telangana, India -
Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

19 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, FastAPI, Flask, Django, Langchain, LlamaIndex, OpenAI Python SDK, Kubernetes, Helm, Docker Compose, Azure AI Services, Asynchronous Programming, Azure DevOps, Shell Scripting, OAuth, RBAC

Industry

IT Services and IT Consulting

Description
API Development: Independently design, develop, and maintain APIs using Python and frameworks such as FastAPI, Flask, or Django. Testing Implementation: Develop and execute unit tests, integration tests, and performance tests to ensure API reliability and efficiency. GenAI Integration: Implement Generative AI technologies, utilizing tools like Langchain, LlamaIndex, or the OpenAI Python SDK to develop and deploy AI-driven features. Deployment Management: Deploy Docker-based applications using Kubernetes, Helm, and Docker Compose, ensuring scalability and reliability without extensive oversight. Cloud Services Utilization: Effectively leverage Azure AI services (e.g., Azure Document Intelligence, Azure AI Search) to enhance application capabilities. System Design: Design concurrent and scalable systems with a focus on asynchronous programming to handle high traffic and large data volumes. DevOps Integration: Manage and optimize CI/CD pipelines using Azure DevOps, ensuring seamless integration and deployment processes. Scripting and Automation: Develop and maintain batch, shell, or PowerShell scripts to automate tasks and enhance workflow efficiency. Security Practices: Implement security best practices for product development and compute resources. Ensure secure configurations and deployments within AKS, including Role-Based Access Control (RBAC). Manage authentication and authorization mechanisms using OAuth, Okta, or Auth0. Collaboration and Communication: Work effectively with cross-functional teams, communicate progress and challenges, and contribute to a collaborative team environment.

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Responsibilities
The role involves independently designing, developing, and maintaining APIs using Python frameworks like FastAPI, and implementing Generative AI features utilizing tools such as Langchain or the OpenAI Python SDK. Responsibilities also include deploying Dockerized applications via Kubernetes and leveraging Azure AI services for application enhancement.