Kolkata, West Bengal, India
Information Technology
Full-Time
UST
Overview
Role Description
Location: Trivandrum / Kochi / Chennai / Bangalore
Experience: 4 to 6 years
Key Responsibilities
Python,Microservices,Docker
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.
- 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.
- 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.
Python,Microservices,Docker
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