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3 Weeks ago
Interesting Job Opportunity: Insurance Samadhan - Python Developer - Flask/FastAPI
Bangalore, Karnataka, India
Information Technology
Full-Time
Insurance Samadhan
Overview
Salary : 8 to 20 Overview :
We are looking for a skilled Python Developer to work closely with our AI/ML team to develop, optimize, and deploy scalable applications. The ideal candidate will have strong Python development skills, experience integrating AI/ML models into production environments, and a solid understanding of software development best practices.
Key Responsibilities
We are looking for a skilled Python Developer to work closely with our AI/ML team to develop, optimize, and deploy scalable applications. The ideal candidate will have strong Python development skills, experience integrating AI/ML models into production environments, and a solid understanding of software development best practices.
Key Responsibilities
- Collaborate with AI/ML engineers to integrate machine learning models into production systems.
- Develop and maintain backend services, APIs, and microservices for AI-powered applications.
- Optimize and deploy AI pipelines, ensuring scalability and efficiency.
- Work with databases (SQL, NoSQL) to manage structured and unstructured data.
- Implement logging, monitoring, and debugging mechanisms for production systems.
- Write efficient, reusable, and modular Python code following software development best practices.
- Assist in model deployment (MLOps) using tools like Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
- Automate workflows and data pipelines to support AI/ML initiatives.
- Collaborate with cross-functional teams including AI researchers, DevOps, and frontend engineers.
- Stay updated with the latest Python frameworks, AI/ML tools, and cloud technologies.
- 2+ years of experience in Python development.
- Strong knowledge of backend development using Flask, FastAPI, or Django.
- Experience with RESTful APIs, GraphQL, and integrating external APIs.
- Familiarity with AI/ML concepts and ability to work with AI engineers (but deep ML expertise is not required).
- Knowledge of database management (PostgreSQL, MySQL, MongoDB, or Redis).
- Experience with containerization and orchestration (Docker, Kubernetes).
- Understanding of version control (Git), CI/CD pipelines, and DevOps practices.
- Experience with message queues (Kafka) is a plus.
- Strong problem-solving and debugging skills.
- Experience working with AI model deployment frameworks (TensorFlow Serving, TorchServe, MLflow).
- Familiarity with data processing libraries (Pandas, NumPy, PySpark).
- Knowledge of cloud services for AI (AWS Lambda, SageMaker, Google AI Platform).
- Previous experience in scaling AI/ML applications in production.
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