Python Developer with AI Integration Experience

Digitals AI; Hyderabad; Hybrid; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary and benefits package

Flexible work hours

Remote working options

Professional development opportunities

Job summary

Digitals AI based in Hyderabad is looking for a skilled Python Developer to join their team. The ideal candidate will work on integrating AI/ML models into scalable web applications using the Django framework. Responsibilities include designing robust systems using PostgreSQL and MongoDB, along with implementing REST APIs and collaborating with data scientists.

Applicants should have strong expertise in Python, Django, and experience dealing with unstructured data in production environments. The role offers a flexible work schedule and competitive salary with opportunities for professional growth.

Qualifications

• Strong proficiency in Python programming is required.
• Solid experience with Django and Django REST Framework (DRF) is essential.
• Experience deploying and maintaining AI models in production is necessary.

Responsibilities

• Design, develop, and deploy sophisticated web applications using Django.
• Work with AI/ML models for robust data handling and integration.
• Create and support RESTful APIs for AI model predictions and data interaction.

Skills

Python programming

Django development

AI models integration

PostgreSQL

MongoDB

Django REST Framework (DRF)

Vector databases

Tools

Docker

AWS

GCP

Azure

Job description

we specialize in leveraging cutting‑edge AI technologies to solve complex problems. We're looking for a talented Python Developer who has a passion for working with AI, databases, and scalable web applications. If you have experience with vector databases, backend databases like PostgreSQL and MongoDB, and integrating AI models into Django applications, we would love to hear from you!

Job Description

We are seeking a Python Developer with experience in AI/ML model integration and backend development. The ideal candidate will be comfortable working with unstructured data, integrating AI models (such as OpenAI, Hugging Face), and developing robust, scalable web applications using the Django framework. Your work will contribute to the development of cutting‑edge solutions that handle large volumes of unstructured data and provide powerful AI‑driven features.

Responsibilities

• Design, develop, and deploy Python‑based web applications with Django, focusing on integrating AI/ML models (e.g., OpenAI, Hugging Face) to handle unstructured data
• Work with vector databases (such as Pinecone, Faiss, or Weaviate) to build AI‑driven search and retrieval systems
• Design and implement scalable database architectures using PostgreSQL and MongoDB to efficiently store and retrieve structured and unstructured data
• Collaborate with data scientists and AI engineers to deploy, fine‑tune, and integrate AI models into production environments
• Create RESTful APIs using Django REST Framework (DRF) for serving AI model predictions and interacting with backend data
• Develop data pipelines for pre‑processing, cleaning, and transforming unstructured data (e.g., text, images) for use in AI models
• Ensure the scalability and maintainability of backend systems and services
• Write efficient, reusable, and modular code while following best practices for code quality and version control
• Monitor, debug, and optimize AI model performance in production

Requirements

• Strong proficiency in Python programming
• Solid experience with Django and Django REST Framework (DRF)
• Familiarity with AI models and tools such as OpenAI (GPT), Hugging Face, or other NLP/ML libraries
• Experience with vector databases (e.g., Pinecone, Weaviate, Faiss) for AI‑driven search and data retrieval
• Hands‑on experience with PostgreSQL and MongoDB, including schema design, optimization, and performance tuning
• Understanding of unstructured data (e.g., text, images) and best practices for handling it in a database
• Experience deploying and maintaining AI models in a production environment
• Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus
• Knowledge of Docker and CI/CD pipelines for deployment is desirable
• Experience with task queues (e.g., Celery) for handling long‑running AI inference tasks is a plus

Preferred Skills

• Experience with data processing libraries such as Pandas, NumPy, and Scikit‑learn
• Knowledge of modern machine learning frameworks such as TensorFlow or PyTorch
• Experience with microservices architecture and API‑driven development
• Familiarity with GraphQL or similar query languages

Benefits

• Competitive salary and benefits package
• Opportunity to work with cutting‑edge AI technologies
• Collaborative and inclusive work environment
• Flexible work hours and remote working options
• Professional development and growth opportunities