Python Flask Developer

Location: Pune Kharadi

Work Mode: Work From Office (WFO)

Experience: 4+ Years

Position Overview

We are seeking a skilled Python Flask API Developer with 4+ years of experience to join our AI/ML engineering team. The role involves building and maintaining high-performance APIs that serve machine learning models, data pipelines, and intelligent automation systems. This is a full-time, onsite position based in Kharadi, Pune .

Key Responsibilities

API Development

• Develop, deploy, and maintain RESTful APIs using Flask/FastAPI .
• Build endpoints for model inference , data processing, and AI workflows.
• Ensure API performance, security, scalability, and version control.

AI/ML Integration

• Collaborate with ML engineers and data scientists to integrate models into production APIs.
• Convert ML models into deployable services with optimized response times.
• Handle model lifecycle: deployment, scaling, monitoring, and updates.

Backend Engineering

• Write efficient, reusable, and modular Python code.
• Implement authentication/authorization, logging, rate-limiting, error handling.
• Work with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis).

DevOps & Deployment

• Containerize applications using Docker .
• Work with CI/CD pipelines for automated deployments.
• Deploy and support applications on cloud platforms (AWS/GCP/Azure).

Required Skills & Qualifications

• Minimum 4+ years hands-on backend development experience using Python.
• Strong experience with Flask or FastAPI .
• Solid understanding of REST API architecture .
• Experience deploying or integrating ML models in production is a strong advantage.
• Good understanding of relational and non-relational databases.
• Experience with Docker, Git, Linux, and CI/CD.
• Familiarity with cloud services (AWS/GCP/Azure).
• Strong debugging, optimization, and troubleshooting skills.
• Excellent communication and ability to work in a team-driven environment.

Nice-to-Have

• Exposure to MLOps , model serving frameworks, or ML pipelines.
• Knowledge of asynchronous programming, Celery, or Redis queues.
• Experience with microservices architecture.
• Knowledge of FastAPI, GraphQL, or Kubernetes.

Education

• Bachelors/Masters degree in Computer Science, Engineering, or related field.

Why Join Us?

• Opportunity to work on cutting-edge AI/ML applications .
• Collaborative team environment.
• Work on highly scalable, production-grade API systems.
• Growth opportunities in MLOps and advanced ML deployment.