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DE&A - AIML - Machine Learning - Python

Actively Reviewing the Applications

Zensar Technologies

India, Telangana Full-Time On-site

Posted 2 weeks ago • Apply by June 10, 2026

Job Description

Job 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.

Responsibilities

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.

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience:

1-3 years of experience in API development and AIML integration, or relevant internships/projects.

Technical Skills:

Python: Strong proficiency in Python programming.
Frameworks: Proficient in FastAPI; experience with Flask or Django is a plus.
Testing: Experience with unit testing, integration testing, and performance testing methodologies.
GenAI Knowledge: Good understanding of Generative AI and its use cases; proficiency in Langchain, LlamaIndex, or OpenAI Python SDK is advantageous.
Containerization & Orchestration: Knowledge of Kubernetes for deploying Docker-based applications, including Helm for managing Kubernetes applications. Experience with Docker Compose is a plus.
Cloud Expertise: Familiarity with Azure, specifically Azure AI services such as Azure Document Intelligence and Azure AI Search.
System Design: Ability to design concurrent and scalable systems with a focus on asynchronous programming.
DevOps Tools: Experience with Azure DevOps for CI/CD pipelines is a plus.
Scripting: Proficiency in batch scripting, shell scripting, or PowerShell.

Security: Knowledge of OAuth, Okta, and Auth0 for authentication and authorization; understanding of RBAC in AKS is a plus

Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience:

1-3 years of experience in API development and AIML integration, or relevant internships/projects.

Technical Skills:

Python: Strong proficiency in Python programming.
Frameworks: Proficient in FastAPI; experience with Flask or Django is a plus.
Testing: Experience with unit testing, integration testing, and performance testing methodologies.
GenAI Knowledge: Good understanding of Generative AI and its use cases; proficiency in Langchain, LlamaIndex, or OpenAI Python SDK is advantageous.
Containerization & Orchestration: Knowledge of Kubernetes for deploying Docker-based applications, including Helm for managing Kubernetes applications. Experience with Docker Compose is a plus.
Cloud Expertise: Familiarity with Azure, specifically Azure AI services such as Azure Document Intelligence and Azure AI Search.
System Design: Ability to design concurrent and scalable systems with a focus on asynchronous programming.
DevOps Tools: Experience with Azure DevOps for CI/CD pipelines is a plus.
Scripting: Proficiency in batch scripting, shell scripting, or PowerShell.

Security: Knowledge of OAuth, Okta, and Auth0 for authentication and authorization; understanding of RBAC in AKS is a plus