Python Developer

3 days ago

Pune, India Ishan Technologies Full time

About Company

At
Ishan Technologies
, we are on a transformative journey to create future-ready, AI-first solutions that shape industries and empower enterprises. Our
AI & Innovation Lab
is the hub of our technology strategy, driving advanced R&D, cutting-edge AI/ML development, and high-impact product innovation.

We are looking for passionate developers who thrive in building scalable systems and want to be part of an innovation-driven environment.

Role Overview

We are seeking a
Python Developer
with
4+ years of experience
to join our AI & Innovation Research Lab. You will contribute to designing and implementing Python-based solutions that power AI and Intelligent Automation products. This role is ideal for someone who enjoys hands-on coding, solving complex problems, and working closely with AI/ML experts to bring research into scalable enterprise applications.

Key Responsibilities

  • Develop and optimize backend systems and APIs in Python for AI-driven products and platforms.
  • Collaborate with AI/ML engineers, data scientists, and product teams to build efficient data processing workflows.
  • Build modular, reusable Python components to support microservices and distributed architectures.
  • Work with relational and non-relational databases (PostgreSQL, SQL, Firestore, NoSQL).
  • Implement integrations with messaging systems (Kafka, RabbitMQ, Pub/Sub).
  • Contribute to the design and development of RESTful APIs and asynchronous systems (FastAPI, Uvicorn).
  • Write clean, testable, and maintainable code aligned with best practices (CI/CD, Docker, Git, unit testing).
  • Participate in code reviews and actively contribute to improving code quality.

Desired Skills & Experience

  • 4+ years of professional Python development experience.
  • Strong experience with backend frameworks (Django / FastAPI / Flask).
  • Solid understanding of OOP, design patterns, and microservices architecture.
  • Experience working with databases (SQL & NoSQL) and API integrations.
  • Familiarity with cloud platforms (GCP/AWS/Azure) and containerization (Docker/Kubernetes) is a plus.
  • Exposure to AI/ML workflows or data-intensive applications is an advantage.
  • Strong problem-solving, debugging, and collaboration skills.

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