Python microservices + AI (Immediate Joiner)

**APPLICABLE ONLY FOR IMMEDIATE JOINERS**

Job Specification

Job Title: Python Microservices +AI

Experience: 5+ Years

Location: Gurgaon (5 days WFO)

Job Summary:

Senior Python Developer

Key Responsibilities:

Microservices Development:

• Design, develop, and deploy

  Python-based microservices

  using

  FastAPI

  ,

  Flask

  , or

  Django REST Framework

  .
• Build and maintain RESTful APIs and event-driven services.
• Ensure service reliability, scalability, and fault tolerance using modern design patterns.
• Integrate services with message brokers (Kafka, RabbitMQ) and databases (SQL and NoSQL).
• Work with DevOps to automate builds, testing, deployment, and monitoring (CI/CD pipelines).
  

AI/ML Integration:

• Collaborate with data science teams to

  deploy and serve ML models

  in production.
• Build APIs and pipelines for

  real-time or batch inference

  using tools like

  TensorFlow Serving

  ,

  TorchServe

  ,

  SageMaker

  , or

  ONNX

  .
• Manage model lifecycle: versioning, A/B testing, rollback, logging, and monitoring.
• Ensure low-latency performance and robustness in AI model consumption.
  

Key Skills:

• Python 3.x

  ,

  FastAPI

  ,

  Flask

  , or

  Django REST Framework

• Microservices architecture

  ,

  API development

  ,

  containerization

• AI/ML integration

  : TensorFlow, PyTorch, Scikit-learn, TorchServe, MLflow

• Model deployment

  via REST/gRPC or containerized solutions

• Docker

  ,

  Kubernetes

  ,

  CI/CD pipelines

  (GitHub Actions, Jenkins, GitLab CI)

• Cloud platforms

  : AWS (SageMaker, Lambda, ECS), Azure, or GCP

• Databases

  : PostgreSQL, MongoDB, Redis

• Message brokers

  : Kafka, RabbitMQ, or similar

• Monitoring/logging

  : Prometheus, Grafana, ELK Stack, Sentry

• Version control

  : Git

Preferred Qualifications:

• Experience with

  MLOps tools

  (e.g., MLflow, Kubeflow, Airflow)
• Familiarity with

  data pipelines

  and

  feature stores

• Knowledge of

  API security

  ,

  rate limiting

  , and

  token-based authentication (OAuth2, JWT)

• Experience working with

  asynchronous frameworks

  (e.g., asyncio, Celery)
• Exposure to

  AI-powered products

  such as chatbots, NLP engines, recommender systems, etc.

Educational Background:

• Bachelors or Masters degree in Computer Science, Engineering, AI/ML, or a related field.