Posted:1 day ago|
Platform:
On-site
Full Time
Key Responsibilities:
*Architect and design end-to-end solutions using Python (Django/FastAPI/Flask), AI/ML models, and cloud-native technologies.
*Lead AI/ML-driven application development, including model deployment, data pipelines, and intelligent automation.
*Collaborate with data scientists, engineers, and product teams to integrate AI/ML models into scalable applications.
*Optimize system performance, ensuring scalability, cost efficiency, and security.
*Implement microservices architecture with APIs, containerization (Docker/Kubernetes), and event-driven design.
*Drive best DevOps practices with CI/CD pipelines, MLOps, Infrastructure as Code (Terraform, CloudFormation), and automated testing.
Required Qualifications:
*12+ years in software development with strong Python expertise, including full-stack development.
*2+ years of experience as a Technical Architect- Python, with demonstrated success in leading and delivering enterprise-level projects.
*Strong AI/ML experience, specifically in model deployment, data engineering, and cloud integration
*Python & Full Stack: Django, FastAPI, Flask, React, Angular, or Vue.js.
*AI/ML & Data Science: TensorFlow, PyTorch, Scikit-learn, NLP, Computer Vision, or MLOps.
*Cloud & DevOps: AWS, Azure, or GCP with Kubernetes & CI/CD.
*Big Data & Databases: PostgreSQL, MongoDB, Redis, Snowflake, or Spark.
*Architecture & Security: Microservices, API Gateway, Event-Driven Systems, and best security practices.
Nice to Have:
*Hands-on experience with LLMs, Generative AI, or Reinforcement Learning.
*Expertise in GraphQL, Serverless (AWS Lambda, Firebase), and Edge AI.
*Experience with data engineering, real-time analytics, and feature stores.
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Salary: Not disclosed