Job Description
**About the Role****Key Responsibilities**:- Assist in deploying and monitoring machine learning models in production environments.
- Develop and maintain CI/CD pipelines for ML model training and inference.
- Optimize infrastructure and model performance for scalability and efficiency.
- Work with cloud services (AWS, GCP, or Azure) to manage ML workflows.
- Troubleshoot and improve model serving, logging, and monitoring systems.
**Qualifications**:- Recent graduate in Computer Science, Engineering, or a related field.
- Basic understanding of ML model deployment, Docker, Kubernetes, and cloud services.
- Experience with Python, TensorFlow/PyTorch, and MLflow is a plus.
- Familiarity with automation tools and scripting (Bash, Terraform, etc.).
- Experience working with LLMs and AI agent integration is preferred.
- Full-time availability- Advanced proficiency in English is required**Why Join Us?
**:- Work on cutting-edge AI deployment and ...