Description

You will build and maintain scalable AI/ML backend services, model-serving APIs, and MLOps pipelines.

This role is on-site.

Responsibilities

• Develop AI/ML backend services and model-serving APIs using Python and FastAPI.
• Implement asynchronous workflows for data processing and model inference.
• Build 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 and monitor production reliability.

Required Skills

• 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.

Preferred Skills

• Knowledge of PyTorch and Kafka.
• Strong problem-solving and software engineering skills.

Key Skills

Education

Any Graduate