Data Engineering / MLOps Intern

About the Role: We're seeking a data-savvy intern who can support our AI and product teams by creating efficient data pipelines and automating ML workflows. You'll help ensure smooth deployment and monitoring of AI models in production. Key Responsibilities: Build ETL pipelines to process large volumes of structured/unstructured data. Set up model versioning and deployment systems. Automate workflows using tools like Airflow, MLFlow, or Docker. Monitor performance of deployed models and improve reliability. Requirements: Experience in Python and SQL. Familiarity with MLOps tools or concepts like CI/CD, Docker, Airflow. Basic understanding of cloud platforms (AWS, GCP, Azure) is a plus.

QuickHyre AI is the platform where dreams become reality. Whether you're aiming for a dream job, building a startup, pursuing higher education, becoming a YouTuber, an influencer, exploring freelancer jobs, or landing a government job, we do it all. Our AI-powered solutions are designed to help students, freshers, employers, and recruiters turn their aspirations into achievements.