Insurance Samadhan - Python Developer - Flask/FastAPI (2-10 yrs)

Salary : 8 to 20 LPA

Job 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 :

- 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.

Required Skills & Qualifications :

- 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.

Preferred Qualifications :

- 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.