Python developers Jobs in India

Improved Job Description: Python Developer (Backend AI/ML Systems)About eizen.ai

At eizen.ai, we're revolutionizing how businesses leverage video intelligence and computer vision. Our enterprise-grade AI platform enables companies to build and deploy powerful visual intelligence applications without coding expertise—transforming operations across manufacturing, retail, healthcare, education, and more.

Our cutting-edge platform delivers:

• 99.8% accuracy in automated defect detection
• 5x faster throughput in manufacturing quality control
• Real-time video analytics with AI-powered insights
• No-code deployment of computer vision models

We're processing millions of video frames daily, powering intelligent visual inspection systems, real-time anomaly detection, and interactive AI agents that see, think, and act.

Founded: 2022 | Headquarters: Hyderabad, India | Stage: High-Growth AI Startup

Role: Python Developer (Backend AI/ML Systems)

Employment Type: Full-Time, On-Site

Location: Hyderabad, India

Department: Engineering

Reports To: Engineering Manager / CTO

Experience Level: 2-6 years

The Opportunity

We're seeking talented Python Developers to build the backbone of our AI-powered video intelligence platform. You'll architect and develop high-performance backend systems that process real-time video streams, deploy computer vision models at scale, and deliver actionable insights to enterprise clients.

This is your chance to work on cutting-edge AI/ML infrastructure, build systems that process terabytes of video data, and see your code power intelligent automation across industries worldwide.

What makes this role exciting: Build scalable backend systems for real-time video processing

Work directly with ML engineers deploying computer vision models

Optimize performance for sub-second response times on video analytics

Impact Fortune 500 companies and transform how they operate

Own features end-to-end from design to production

Key ResponsibilitiesBackend Development (50%)

• Design, develop, and maintain scalable Python-based backend services and RESTful APIs
• Build microservices architecture for video processing, model inference, and data pipelines
• Develop asynchronous task processing systems using Celery, RabbitMQ, or Kafka
• Implement WebSocket connections for real-time video streaming and analytics
• Create efficient data processing pipelines for handling large-scale video datasets
• Write clean, maintainable, well-documented code following best practices
• Optimize API response times and system throughput for high-performance requirements

AI/ML Integration (25%)

• Collaborate with ML engineers to deploy computer vision models (YOLO, ResNet, custom CNNs) into production
• Build inference pipelines that integrate TensorFlow, PyTorch, and OpenCV models
• Develop video preprocessing and post-processing modules for AI workflows
• Implement model serving infrastructure using TensorFlow Serving, TorchServe, or ONNX Runtime
• Create annotation tools and data labeling systems for training AI models
• Build feedback loops for continuous model improvement based on production data

Database & Storage Management (15%)

• Design and optimize database schemas for PostgreSQL, MongoDB, or similar systems
• Implement efficient data storage strategies for video metadata and analytics results
• Work with cloud storage (AWS S3, Azure Blob, GCP Storage) for video asset management
• Build caching layers using Redis or Memcached for performance optimization
• Ensure data consistency, integrity, and security across distributed systems
• Optimize complex database queries and implement indexing strategies

DevOps & Infrastructure (10%)

• Deploy and manage applications using Docker containers and Kubernetes orchestration
• Implement CI/CD pipelines with GitHub Actions, GitLab CI, or Jenkins
• Monitor system performance using tools like Prometheus, Grafana, or New Relic
• Collaborate on cloud infrastructure management (AWS, GCP, or Azure)
• Ensure system reliability, scalability, and uptime through robust architecture
• Participate in on-call rotation for production support

Collaboration & Code Quality (10%)

• Participate in code reviews to maintain code quality and share knowledge
• Write comprehensive unit tests, integration tests, and documentation
• Work closely with frontend developers, ML engineers, and product managers
• Contribute to technical architecture decisions and system design discussions
• Mentor junior developers and contribute to team growth
• Stay updated with latest Python ecosystem, AI/ML tools, and best practices

Required QualificationsTechnical Skills

Python Expertise: 2-6 years of hands-on Python development experience

Backend Frameworks: Strong proficiency in FastAPI, Django, or Flask

API Development: Experience building and documenting RESTful APIs

Databases: Working knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis)

Object-Oriented Programming: Strong OOP concepts and design patterns

Version Control: Proficient with Git and collaborative development workflows

Data Structures & Algorithms: Solid understanding of core CS fundamentals

Linux/Unix: Comfortable working in Linux environments

Core Competencies

Strong problem-solving and analytical thinking abilities

Ability to write clean, efficient, and maintainable code

Experience with software development lifecycle and agile methodologies

Excellent debugging and troubleshooting skills

Strong communication skills and ability to work in cross-functional teams

Self-motivated with ability to work independently and take ownership

Education

Bachelor's degree in Computer Science, Software Engineering, or related technical field

Equivalent practical experience will be considered

Preferred Qualifications

AI/ML Experience: Exposure to TensorFlow, PyTorch, scikit-learn, or computer vision libraries (OpenCV, Pillow)

Video Processing: Experience with FFmpeg, GStreamer, or video codec optimization

Real-Time Systems: Knowledge of WebRTC, video streaming protocols (RTSP, HLS, DASH)

Async Programming: Proficiency with async/await, asyncio, and concurrent programming

Message Queues: Experience with RabbitMQ, Kafka, or AWS SQS

Containerization: Hands-on experience with Docker and Kubernetes

Cloud Platforms: AWS (EC2, Lambda, S3), GCP, or Azure experience

Performance Optimization: Experience profiling and optimizing Python applications

Testing: Strong unit testing practices with pytest, unittest, or similar frameworks

API Documentation: Experience with Swagger/OpenAPI, Postman

Startup Experience: Previous experience in fast-paced startup environments

Open Source: Contributions to open-source Python projects

Our Technology Stack

Backend:

• Python 3.9+
• FastAPI / Django REST Framework
• Celery for async task processing
• WebSocket for real-time communication

AI/ML:

• TensorFlow / PyTorch
• OpenCV for computer vision
• YOLO, ResNet, Custom CNNs
• ONNX Runtime for model serving

Databases & Storage:

• PostgreSQL (primary database)
• MongoDB (document storage)
• Redis (caching layer)
• AWS S3 / Azure Blob (video storage)

Infrastructure:

• Docker & Kubernetes
• AWS / GCP / Azure
• GitHub Actions (CI/CD)
• Nginx / Gunicorn

Tools & Monitoring:

• Git & GitHub
• Prometheus & Grafana
• Sentry for error tracking
• Postman / Swagger

Levels & Experience

We're hiring at multiple levels:

Python Developer (Mid-Level)

• Experience: 2-4 years
• Focus: Feature development, API design, database optimization
• Skills: Strong Python, frameworks, databases, API development

Senior Python Developer

• Experience: 4-6+ years
• Focus: System architecture, mentorship, technical leadership
• Skills: All of above + system design, performance optimization, team leadership

Interview Process

1. Application Review (2-3 days)
2. Phone Screening (30 mins) - HR and basic technical discussion
3. Technical Assessment (90 mins) - Coding challenge or take-home assignment
4. Technical Interview (60 mins) - System design and problem-solving with engineers
5. Culture Fit (30 mins) - Discussion with team lead or founder
6. Offer - Typically within 1 week of final interview

Timeline: 7-10 business days from application to offer

How to Apply

Ready to build the future of video intelligence

Send us:

1. Resume/CV highlighting relevant Python and backend experience
2. GitHub Profile (if available) showcasing your code
3. Cover Letter (optional) explaining:

• Your most challenging Python project
• Why you're excited about AI and computer vision
• What you're looking to learn and build at eizen.ai

Apply via:

https://forms.office.com/r/y9JFDDEZqX

• Apply Email: [HIDDEN TEXT] (Subject: 'Python Developer - [Your Name]')
• LinkedIn: [Company LinkedIn Page]
• Website: eizen.ai/careers

Portfolio Bonus: Share links to personal projects, open-source contributions, or technical blog posts!

Why Join eizen.ai

Mission-Driven: Transform industries through AI-powered visual intelligence

Early-Stage Impact: Join a growing team (30-50 employees) where your contributions matter

Learn from the Best: Work alongside PhDs and experts in computer vision and deep learning

Innovation Culture: Hackathons, research days, and freedom to experiment

Growth Trajectory: Be part of the journey from startup to industry leader

Real-World Impact: Your code will process millions of video frames daily for global enterprises

• Recognition: Meritocracy-based culture with clear growth paths and rewards

Skills Required
Git, Docker, Kafka, Kubernetes, Opencv, Flask, Rabbitmq, Tensorflow, FastAPI, Celery, Restful Apis, Pytorch, Redis, Mongodb, Django, Postgresql, Python