Location : Trivandrum / Kochi / Chennai / Bangalore Experience : 4 to 6 years Key Responsibilities: Python AI Development : Design, develop, and deploy AI-based applications using Python , specifically with frameworks like Flask and FastAPI for RESTful APIs. Implement machine learning models and integrate them with production systems to drive AI-powered solutions. Microservices Architecture : Develop and implement applications using Microservices architecture , ensuring modular, scalable, and maintainable code. Design and deploy services that are loosely coupled and independently scalable. Cloud Technologies : Leverage cloud platforms, particularly Google Cloud Platform (GCP) or other cloud environments, for hosting, scaling, and managing applications. Collaborate on optimizing cloud-based solutions for cost and performance. Containerization & Orchestration : Utilize Docker for containerization and ensure smooth orchestration of services. Work with Kubernetes or other orchestration platforms to manage containerized applications. Database & Search Technologies : Work with MySQL and other relational/non-relational databases to design efficient data storage and retrieval mechanisms. Implement search functionalities using technologies like ElasticSearch for advanced query capabilities. Queue-Based Systems : Integrate and manage Queue-based systems such as RabbitMQ or Kafka to facilitate asynchronous message passing between distributed services. Must-Have Skills and Qualifications: Experience & Expertise : 4+ years of professional experience in Python development , specifically in AI development using frameworks such as Flask and FastAPI . Proficient in designing and implementing Microservices-based architectures for scalable and maintainable solutions. Cloud Platforms : Solid understanding and experience with Google Cloud Platform (GCP) or other cloud environments, including leveraging cloud services for hosting and scaling applications. Containerization : Strong knowledge of Docker for containerizing applications and familiarity with orchestration technologies such as Kubernetes . Databases & Search Technologies : Hands-on experience with MySQL or other relational databases for data storage. Familiarity with ElasticSearch for implementing high-performance search features. Queue-based Systems : Experience working with RabbitMQ , Kafka , or other Queue-based systems for decoupling services and handling large volumes of asynchronous tasks. Good-to-Have Skills and Qualifications: Containerization & Orchestration : Experience working with orchestration platforms like Kubernetes for automating deployment, scaling, and management of containerized applications. Additional Cloud Experience : Experience with other cloud providers like AWS or Azure would be a plus. AI/ML Experience : Additional experience with AI or Machine Learning techniques and integrating them into Python-based applications. DevOps Tools : Familiarity with CI/CD pipelines , Jenkins , or other DevOps tools for continuous integration and delivery. Message Brokers : Experience with other Message Queueing technologies like RabbitMQ , Kafka , or SQS for building scalable event-driven architectures. Required Skills Python,Flask,Docker

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