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CertifyOS - AI Intern

Remote - USA5d ago

Remote Intern NA Cloud Computing Artificial Intelligence Intern Software Engineer Git Python SQL GCP Weights & Biases MLflow

Requirements

• Experience as a Software Engineer or Machine Learning Engineer. • Strong proficiency in Python and experience building production services. • Hands-on experience deploying and running workloads on Google Cloud Platform. • Expertise in writing and debugging SQL queries. • Strong foundation in software engineering fundamentals, including testing, debugging, version control (Git), CI/CD, and monitoring. • Experience evaluating ML systems by defining metrics, building evaluation datasets, running experiments, and interpreting results. • Ability to work independently, take ownership, and drive projects with limited supervision. • Excellent written and verbal communication skills in English. • Comfort proactively reaching out to internal stakeholders to understand requirements. • Have built or maintained data pipelines or ETL jobs on GCP. • Have experience working with healthcare data, compliance requirements, or PII. • Have used experiment tracking and evaluation tools such as MLflow, Weights & Biases, or custom dashboards.

Responsibilities

• Design, implement, and maintain ML-driven services and data workflows in Python. • Build and maintain evaluation pipelines and metrics to measure model and system performance in production-like environments. • Deploy and operate ML services on GCP, including tools such as Cloud Run, GKE, Cloud Functions, Pub/Sub, BigQuery, and Cloud Storage. • Troubleshoot and improve existing ML services with a focus on reliability, latency, and correctness. • Collaborate proactively with internal stakeholders across product, operations, engineering, and data teams to clarify requirements and iterate on solutions. • Communicate clearly about trade-offs, risks, timelines, and results to both technical and non-technical audiences.

Benefits

• At Certify, we’re building with intention and taking care of the people doing the work. • Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women.