Description

Key Skills: Python, FastAPI, AI/ML, MLOps, CI/CD, Cloud Platforms (AWS/Azure/GCP), PyTorch, Kafka, REST APIs, Async Programming, Model Deployment, Machine Learning Pipelines

Roles & Responsibilities

• Develop AI/ML backend services and model-serving APIs using Python and FastAPI.
• Build scalable and reliable backend solutions for AI applications.
• Implement asynchronous workflows for data processing and model inference.
• Develop and maintain MLOps pipelines for model training, testing, deployment, and monitoring.
• Create and manage CI/CD pipelines for automated builds, testing, and releases.
• Deploy AI/ML services on cloud platforms such as AWS, Azure, or GCP.
• Monitor application performance and ensure production reliability.
• Collaborate with data scientists and engineering teams to deliver AI solutions.
• Troubleshoot and optimize AI services and backend applications.

Experience Required

• 5-8 years of experience in Python development and AI/ML application development.
• Strong programming experience in Python, including asynchronous programming.
• Hands-on experience with FastAPI and REST API development.
• Experience with MLOps practices and ML model lifecycle management.
• Experience building CI/CD pipelines and automation workflows.
• Cloud experience with AWS, Azure, or GCP.
• Knowledge of PyTorch and Kafka is preferred.
• Strong problem-solving and software engineering skills.

Education: Any Graduation or Post Graduation

Key Skills

Education

Any Graduate