Role Overview :

Looking for an AI/ML Engineer to build, test, and deploy scalable artificial intelligence and machine learning models into production systems.

Tech Stack :

- Python, Django, Fast API, Containerized apps, Automation CI/CD

Engineering Tools :

- Cloud platforms (AWS, GCP, Azure), Docker

- Solid understanding of data structures, algorithms, SQL Queries

Key Responsibilities:

- Architect and implement end-to-end machine learning pipelines to automate data processing and model training workflows for enterprise clients.

- Develop and maintain high-performance microservices to serve AI models, ensuring low latency and high availability across distributed systems.

- Collaborate with engineering teams to integrate ML models into existing software ecosystems using modern API frameworks.

- Optimize CI/CD pipelines to streamline the deployment of machine learning models, reducing time-to-market for new features.

- Monitor model performance in production environments to identify drift and implement necessary retraining strategies to maintain accuracy.

Education :

- Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field.

Additional Requirements :

- Full Stack Developer with experience in Microservices.

- Immediate joiners or those serving notice period until month end preferred.