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Engaged Employer

Exponentia.ai

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4.6

based on 208 Reviews

91 Exponentia.ai Jobs

Python Application Developer

Exponentia Team

4.6

based on 208 Reviews

2-8 years

Mumbai

1 vacancy

Python Application Developer

Exponentia.ai

posted 5d ago

Job Role Insights

Flexible timing

Key skills for the job

Software Configuration Management Python AWS MySQL Data Visualization Application Development

+ 4 more

Job Description

Role Overview:

We are seeking an experienced Python Application Developer with expertise in Streamlit to develop, deploy, and optimize AI-powered interactive applications. The ideal candidate will have hands-on experience integrating Generative AI , AWS cloud services , and backend APIs , with a strong focus on performance, scalability, and real-time data visualization.

Job Responsibilities:

Develop interactive web applications using Streamlit for AI-driven solutions.
Build and integrate APIs using FastAPI or Flask to connect backend services.
Process, clean, and visualize data using Pandas, NumPy, and Matplotlib/Seaborn/Plotly .
Deploy AI/ML models into Streamlit applications using TensorFlow, PyTorch, or Hugging Face Transformers .
Connect applications to databases using SQLAlchemy (PostgreSQL, MySQL) or PyMongo (MongoDB) .
Handle API authentication using OAuth2, JWT, and Authlib for secure access.
Deploy and scale applications on AWS using Lambda, S3, EC2, API Gateway, Glue .
Optimize application performance with caching techniques and async processing.
Containerize and deploy applications using Docker and Kubernetes .
Ensure real-time API interactions with Requests, HTTPx .
Implement CI/CD pipelines for automated deployment and testing.

Required Skills:

5-8 years of experience in Python-based application development.
Expertise in Streamlit for building interactive UI/UX for AI applications.
Strong API development skills using FastAPI, Flask, and Django Rest Framework (DRF) .
Proficiency in data processing and visualization using Pandas, NumPy, Matplotlib, Seaborn, and Plotly .
Experience in AI/ML model deployment with TensorFlow, PyTorch, and Hugging Face Transformers .
Hands-on AWS experience with services like Lambda, S3, EC2, Glue, API Gateway .
Database management experience with SQLAlchemy (PostgreSQL, MySQL) and PyMongo (MongoDB) .
Knowledge of authentication frameworks like OAuth2, JWT, and Authlib .
Proficiency in containerization and orchestration with Docker and Kubernetes .
Familiarity with API security best practices and cloud deployment strategies.
Strong debugging, troubleshooting, and optimization skills .

Preferred Qualifications:

AWS Certified Developer or AI-related certifications.
Experience implementing LLM-based solutions in applications.
Familiarity with MLOps and automated model lifecycle management .
Experience with serverless computing and event-driven architectures on AWS.

Why join Exponentia:

Expand your knowledge and work with cutting-edge technologies.
Opportunity to work with some of the best minds and collaborate with them.
Learn from Industry experts.
Get Certified with latest technologies and platforms.
Get access to networks of OEM partners and business leaders who are setting new standards at the cutting-edge of technology.