[28/10/2025] Python Developers

Improved Job Description: Python Developer (Backend AI/ML Systems)About eizen.aiAt 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 modelsWe'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 StartupRole: Python Developer (Backend AI/ML Systems)Employment Type: Full-Time, On-SiteLocation: Hyderabad, IndiaDepartment: EngineeringReports To: Engineering Manager / CTOExperience Level: 2-6 yearsThe OpportunityWe'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 processingWork directly with ML engineers deploying computer vision models⚡ Optimize performance for sub-second response times on video analyticsImpact Fortune 500 companies and transform how they operateOwn features end-to-end from design to productionKey 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 requirementsAI/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 dataDatabase & 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 strategiesDevOps & 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 supportCollaboration & 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 practicesRequired 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 environmentsCore 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 ownershipEducation✅ Bachelor's degree in Computer Science, Software Engineering, or related technical field✅ Equivalent practical experience will be consideredPreferred QualificationsAI/ML Experience: Exposure to TensorFlow, PyTorch, scikit-learn, or computer vision libraries (OpenCV, Pillow)Video Processing: Experience with FFmpeg, GStreamer, or video codec optimizationReal-Time Systems: Knowledge of WebRTC, video streaming protocols (RTSP, HLS, DASH)Async Programming: Proficiency with async/await, asyncio, and concurrent programmingMessage Queues: Experience with RabbitMQ, Kafka, or AWS SQSContainerization: Hands-on experience with Docker and KubernetesCloud Platforms: AWS (EC2, Lambda, S3), GCP, or Azure experiencePerformance Optimization: Experience profiling and optimizing Python applicationsTesting: Strong unit testing practices with pytest, unittest, or similar frameworksAPI Documentation: Experience with Swagger/OpenAPI, PostmanStartup Experience: Previous experience in fast-paced startup environmentsOpen Source: Contributions to open-source Python projectsOur Technology StackBackend:- Python 3.9+ - FastAPI / Django REST Framework - Celery for async task processing - WebSocket for real-time communicationAI/ML:- TensorFlow / PyTorch - OpenCV for computer vision - YOLO, ResNet, Custom CNNs - ONNX Runtime for model servingDatabases & 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 / GunicornTools & Monitoring:- Git & GitHub - Prometheus & Grafana - Sentry for error tracking - Postman / SwaggerLevels & ExperienceWe'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 developmentSenior Python Developer- Experience: 4-6+ years - Focus: System architecture, mentorship, technical leadership - Skills: All of above + system design, performance optimization, team leadershipInterview Process1. 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 interviewTimeline: 7-10 business days from application to offerHow to ApplyReady 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.aiApply via:https://forms.office.com/r/y9JFDDEZqX- Apply Email: careers@eizen.ai (Subject: "Python Developer - [Your Name]") -LinkedIn: [Company LinkedIn Page] -Website: eizen.ai/careersPortfolio Bonus: Share links to personal projects, open-source contributions, or technical blog postsWhy Join eizen.ai?Mission-Driven: Transform industries through AI-powered visual intelligenceEarly-Stage Impact: Join a growing team (30-50 employees) where your contributions matterLearn from the Best: Work alongside PhDs and experts in computer vision and deep learningInnovation Culture: Hackathons, research days, and freedom to experimentGrowth Trajectory: Be part of the journey from startup to industry leaderReal-World Impact: Your code will process millions of video frames daily for global enterprises-Recognition: Meritocracy-based culture with clear growth paths and rewards