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 detection5x faster throughput in manufacturing quality controlReal-time video analytics with AI-powered insightsNo-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-Site Location: Hyderabad, India Department: Engineering Reports To: Engineering Manager / CTO Experience 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 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 productionKey ResponsibilitiesBackend Development (50%)Design, develop, and maintain scalable Python-based backend services and RESTful APIsBuild microservices architecture for video processing, model inference, and data pipelinesDevelop asynchronous task processing systems using Celery, RabbitMQ, or KafkaImplement WebSocket connections for real-time video streaming and analyticsCreate efficient data processing pipelines for handling large-scale video datasetsWrite clean, maintainable, well-documented code following best practicesOptimize 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 productionBuild inference pipelines that integrate TensorFlow, PyTorch, and OpenCV modelsDevelop video preprocessing and post-processing modules for AI workflowsImplement model serving infrastructure using TensorFlow Serving, TorchServe, or ONNX RuntimeCreate annotation tools and data labeling systems for training AI modelsBuild feedback loops for continuous model improvement based on production dataDatabase & Storage Management (15%)Design and optimize database schemas for PostgreSQL, MongoDB, or similar systemsImplement efficient data storage strategies for video metadata and analytics resultsWork with cloud storage (AWS S3, Azure Blob, GCP Storage) for video asset managementBuild caching layers using Redis or Memcached for performance optimizationEnsure data consistency, integrity, and security across distributed systemsOptimize complex database queries and implement indexing strategiesDevOps & Infrastructure (10%)Deploy and manage applications using Docker containers and Kubernetes orchestrationImplement CI/CD pipelines with GitHub Actions, GitLab CI, or JenkinsMonitor system performance using tools like Prometheus, Grafana, or New RelicCollaborate on cloud infrastructure management (AWS, GCP, or Azure)Ensure system reliability, scalability, and uptime through robust architectureParticipate in on-call rotation for production supportCollaboration & Code Quality (10%)Participate in code reviews to maintain code quality and share knowledgeWrite comprehensive unit tests, integration tests, and documentationWork closely with frontend developers, ML engineers, and product managersContribute to technical architecture decisions and system design discussionsMentor junior developers and contribute to team growthStay 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 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 projectsOur Technology StackBackend:Python 3.9+FastAPI / Django REST FrameworkCelery for async task processingWebSocket for real-time communicationAI/ML:TensorFlow / PyTorchOpenCV for computer visionYOLO, ResNet, Custom CNNsONNX Runtime for model servingDatabases & Storage:PostgreSQL (primary database)MongoDB (document storage)Redis (caching layer)AWS S3 / Azure Blob (video storage)Infrastructure:Docker & KubernetesAWS / GCP / AzureGitHub Actions (CI/CD)Nginx / GunicornTools & Monitoring:Git & GitHubPrometheus & GrafanaSentry for error trackingPostman / SwaggerLevels & ExperienceWe're hiring at multiple levels:Python Developer (Mid-Level)Experience: 2-4 yearsFocus: Feature development, API design, database optimizationSkills: Strong Python, frameworks, databases, API developmentSenior Python DeveloperExperience: 4-6+ yearsFocus: System architecture, mentorship, technical leadershipSkills: All of above + system design, performance optimization, team leadershipInterview ProcessApplication Review (2-3 days)Phone Screening (30 mins) - HR and basic technical discussionTechnical Assessment (90 mins) - Coding challenge or take-home assignmentTechnical Interview (60 mins) - System design and problem-solving with engineersCulture Fit (30 mins) - Discussion with team lead or founderOffer - 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:Resume/CV highlighting relevant Python and backend experienceGitHub Profile (if available) showcasing your codeCover Letter (optional) explaining:Your most challenging Python projectWhy you're excited about AI and computer visionWhat you're looking to learn and build at eizen.aiApply via:Apply📧 Email: careers@eizen.ai (Subject: "Python Developer - [Your Name]")💼 : [Company 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 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