Python Developer with AI Integration Experience at Digitals AI Inc

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Django, Django REST Framework, OpenAI, Hugging Face, Pinecone, Faiss, Weaviate, PostgreSQL, MongoDB, Vector Databases, RESTful APIs, Docker, CI/CD, Celery, Unstructured Data

Industry

Software Development

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. Required Skills and Qualifications: 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.

Responsibilities

Design and deploy Python-based web applications using Django, focusing on the integration of AI/ML models to handle unstructured data. Develop scalable database architectures and RESTful APIs to support AI-driven search and retrieval systems.