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CertifyOS

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2021

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 $40M Series B - Certify on 2025-06

Healthcare • SaaS • B2B

CertifyOS is a healthcare-focused provider data platform that consolidates and verifies provider information to create a single, AI-enabled source of truth. It replaces spreadsheets and point solutions with infrastructure for credentialing, contracting, payments, compliance, and provider data management, offering services like credentialing, licensing, monitoring, and roster management. The platform ingests rosters and real-time feeds, validates records against thousands of sources, and delivers a continuous, clean data stream accessible via one API. CertifyOS is positioned as a B2B SaaS solution for health plans, digital health companies, and health systems, claiming measurable operational improvements (e. g. , reduced re-credentialing costs, faster onboarding) and listing major health plans among its clients.

📋 Description

• As an Intern Machine Learning Engineer on a 6-month contract, you will help build, test, and deploy ML-powered services on our provider data platform. • You will own features end-to-end by collaborating with stakeholders, implementing production-ready code, designing evaluation pipelines, and deploying services on Google Cloud Platform (GCP). • Design, implement, and maintain ML-driven services and data workflows in Python. • Apply software engineering best practices, including clean code, testing (unit and integration), code reviews, CI/CD, observability, and documentation. • 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.

🎯 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.

🏖️ Benefits

• 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.