Python Developer / ML Engineer – Banking & AI

Role Overview

We are looking for a Python Developer / ML Engineer with 4–6 years of experience to build and deploy scalable, production-grade AI/ML and transaction processing systems for the Banking & FinTech domain. The ideal candidate should have strong expertise in Python and FastAPI, hands-on experience building REST APIs and microservices, and a solid understanding of ML model development and deployment.

Responsibilities

• Design, develop, and maintain high-performance Python applications and microservices using FastAPI.
• Build production-grade REST APIs and microservices with a focus on scalability, reliability, security, and maintainability.
• Develop, train, evaluate, and deploy Machine Learning models for real-world business use cases.
• Design systems capable of handling real-time transaction processing and event-driven workflows using Apache Kafka, Redis, and Celery.
• Design and optimize database solutions using PostgreSQL.
• Containerize applications using Docker and deploy/manage workloads on cloud platforms.
• Integrate applications with banking systems, payment platforms, and third-party APIs.
• Participate in system architecture and design discussions.

Requirements

• 4–6 years of professional experience.
• Strong hands-on experience with Python and FastAPI.
• Proven experience building RESTful APIs and production-grade microservices.
• Hands-on experience in ML model development, evaluation, and deployment using libraries like scikit-learn, Pandas, and NumPy.
• Experience with Kafka, Redis, and Celery.
• Strong experience with PostgreSQL.
• Hands-on experience with Docker and exposure to cloud platforms like AWS, Azure, or GCP.
• Experience in Banking, FinTech, or Transaction Processing is highly preferred.

Skills

• Python
• FastAPI
• Machine Learning
• PostgreSQL
• Docker