AI/ML Engineer Intern

Degree in Computer Science, Machine Learning, Mathematics, Engineering, or related technical field 3+ years of hands-on ML engineering experience building production systems Expert-level proficiency in Python, ML frameworks, and cloud platforms Extensive experience with MLOps tools and practices including Docker, Kubernetes, model versioning, and monitoring systems Proven track record deploying and scaling ML models in production environments with high availability requirements Self-directed approach with ability to architect complex systems independently while collaborating across technical teams

Building and deploying production ML models Designing scalable ML infrastructure and pipelines Implementing inference systems Fine-tuning and deploying multimodal AI systems using MLOps best practices Collaborating with data science teams Optimizing model performance for cost efficiency Integrating ML capabilities into existing platforms and building APIs