Python Developer - AI/ML, GenAI & DevOps

Cognizant; Chennai District, Bengaluru, Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Cognizant is seeking a highly skilled Python Developer with AI/ML expertise to design, build, deploy, and maintain scalable AI-powered applications and automation solutions across PAN India.

The role emphasizes strong Python programming, experience with modern AI/ML frameworks, DevOps practices, and cloud deployments, with a hybrid work mode and opportunities to work on GenAI, LLMs, and enterprise-grade systems.

Qualifications

• Proficient in Python with hands-on experience in building scalable AI/ML solutions.
• Strong knowledge of OOP, multithreading, and asynchronous programming paradigms.
• Experience with SQL and NoSQL databases and data modeling.

Responsibilities

• Design, develop, test, and maintain robust Python applications.
• Develop REST APIs and microservices using FastAPI, Flask, or Django.
• Build, train, evaluate, and deploy ML models and pipelines.
• Develop GenAI solutions using LLMs and proactive model monitoring.

Skills

Python

OOP & Concurrency

SQL/NoSQL

Education

Bachelor's or Master's in CS/Engineering/AI

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

XGBoost

LangChain

LlamaIndex

Hugging Face Transformers

Pinecone

FAISS

ChromaDB

Weaviate

Azure DevOps

GitHub

Docker

Kubernetes

Terraform

Job description

Work Mode : hybrid

Work Location : PAN India where cognizant office is located

Job Summary:

We are seeking a highly skilled Python Developer with expertise in Artificial Intelligence (AI), Machine Learning (ML), Generative AI (GenAI), and DevOps practices. The ideal candidate will be responsible for designing, developing, deploying, and maintaining scalable AI-powered applications and automation solutions. This role requires strong programming skills, experience with modern AI/ML frameworks, and hands‑on knowledge of cloud and DevOps technologies.

Key Responsibilities:

Python Development:

• Design, develop, test, and maintain robust Python applications.
• Write clean, reusable, and scalable code following best practices.
• Develop REST APIs and microservices using frameworks such as FastAPI, Flask, or Django.
• Optimize application performance and troubleshoot production issues.

AI/ML Development:

• Build, train, evaluate, and deploy machine learning models.
• Develop data preprocessing, feature engineering, and model validation pipelines.
• Implement predictive analytics, classification, recommendation, and NLP solutions.
• Work with large datasets and model monitoring frameworks.

Generative AI :

• Design and implement GenAI solutions using Large Language Models (LLMs).
• Develop AI‑powered chatbots, copilots, and intelligent automation solutions.
• Utilize frameworks such as LangChain, LlamaIndex, Semantic Kernel, and Hugging Face.
• Implement Prompt Engineering, RAG (Retrieval‑Augmented Generation), Vector Databases, and AI Agent workflows.
• Integrate OpenAI, Azure OpenAI, Claude, Gemini, or open‑source LLMs into enterprise applications.

DevOps & Cloud :

• Implement CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or GitLab.
• Containerize applications using Docker and orchestrate deployments using Kubernetes.
• Automate infrastructure provisioning using Infrastructure as Code (Terraform, ARM, CloudFormation).
• Monitor application health, performance, and security.
• Deploy and manage AI/ML solutions on Azure, AWS, or GCP.

Required Skills

Programming :

• Strong expertise in Python.
• Experience with Object‑Oriented Programming (OOP), multithreading, and asynchronous programming.
• Knowledge of SQL and NoSQL databases.

AI/ML Frameworks:

• TensorFlow
• PyTorch
• Scikit-learn
• Keras
• XGBoost

Generative AI :

• OpenAI/Azure OpenAI Services
• LangChain
• LlamaIndex
• Hugging Face Transformers
• Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Prompt Engineering and RAG Architectures

DevOps Tools:

• Git/GitHub
• Azure DevOps
• Jenkins
• Docker
• Kubernetes
• Terraform
• CI/CD Pipeline Management

Cloud Platforms :

• Microsoft Azure (preferred)
• AWS
• Google Cloud Platform (GCP)

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field.
• 3+ years of Python development experience.
• 2+years of AI/ML or GenAI implementation experience.
• Experience with MLOps and model deployment.
• Relevant certifications in Azure AI, AWS AI/ML, Kubernetes, or DevOps.