CertifyOS is Hiring AI Intern | 6-Month Internship | Remote (India)

Job Description

CertifyOS is hiring AI Interns for its Engineering team in India. This fully remote internship is ideal for students and recent graduates who are passionate about Artificial Intelligence, Machine Learning, Python, Google Cloud Platform (GCP), SQL, and Software Engineering. If you're looking to build production-ready AI systems while working on real-world healthcare technology, this internship offers an excellent opportunity to learn and grow.

As an AI Intern, you will build and deploy ML-powered services, develop evaluation pipelines, optimize data workflows, collaborate with cross-functional teams, and contribute to scalable AI solutions that improve healthcare provider data infrastructure.

𝐂𝐨𝐦𝐩𝐚𝐧𝐲: CertifyOS
𝐑𝐨𝐥𝐞: AI Intern
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Pune, India (Remote)
𝐖𝐨𝐫𝐤 𝐌𝐨𝐝𝐞: Remote
𝐉𝐨𝐛 𝐓𝐲𝐩𝐞: Internship (6 Months)
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: Interns

𝐀𝐛𝐨𝐮𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐲𝐎𝐒

CertifyOS is a healthcare technology company building the data infrastructure that powers modern healthcare systems. Its API-first platform automates provider licensing, credentialing, enrollment, and network monitoring by connecting healthcare organizations with trusted data sources.

Backed by leading investors, CertifyOS focuses on solving complex infrastructure challenges through cloud technologies, automation, and artificial intelligence while enabling more reliable and compliant healthcare operations.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As an AI Intern, you will design, develop, test, and deploy machine learning services using Python and Google Cloud Platform. You'll build evaluation pipelines, improve model performance, automate workflows, and collaborate with engineering, product, operations, and data teams to deliver production-ready AI solutions.

This internship provides valuable exposure to Machine Learning Engineering, Cloud Computing, MLOps, Data Engineering, and production AI systems.

Roles & Responsibilities

- Design, develop, and maintain ML-powered services using Python.

- Build and optimize machine learning data workflows.

- Develop evaluation pipelines to measure model performance.

- Deploy and manage ML services on Google Cloud Platform.

- Write clean, maintainable, and well-tested production code.

- Troubleshoot and improve existing machine learning services.

- Implement CI/CD, monitoring, and software engineering best practices.

- Collaborate with Product, Engineering, Operations, and Data teams.

- Communicate project progress, risks, and technical solutions.

- Document technical implementations and workflows.

Qualifications & Eligibility

- Pursuing or completed a degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related technical discipline.

- Strong proficiency in Python programming.

- Basic understanding of Machine Learning concepts.

- Good knowledge of SQL and database querying.

- Familiarity with Google Cloud Platform (GCP).

- Understanding of Git, testing, debugging, and CI/CD fundamentals.

- Strong analytical, communication, and problem-solving skills.

Skills Required

- Python

- Machine Learning

- Google Cloud Platform (GCP)

- SQL

- Software Engineering

- Git

- CI/CD

- Data Workflows

- Testing & Debugging

- Problem Solving

- Communication Skills

- Team Collaboration

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

- Java

- Cloud Run

- GKE

- Cloud Functions

- Pub/Sub

- BigQuery

- Cloud Storage

- ETL Pipelines

- MLflow

- Weights & Biases

- Healthcare Data

- MLOps

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐲𝐎𝐒?

- Work on production-ready AI and Machine Learning systems.

- Gain hands-on experience with Google Cloud Platform and MLOps.

- Build scalable AI solutions for the healthcare industry.

- Collaborate with experienced engineers in a fully remote environment.

- Learn modern software engineering and cloud deployment practices.

- Take ownership of impactful end-to-end engineering projects.

- Build a strong foundation for careers in AI, Machine Learning, and Cloud Engineering.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

This internship provides an excellent foundation for careers such as:

- Machine Learning Engineer

- AI Engineer

- Software Engineer

- Data Engineer

- MLOps Engineer

- Cloud Engineer

- Backend Engineer

- Data Scientist

- AI Platform Engineer

- Machine Learning Developer

𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?

- Students and recent graduates interested in Artificial Intelligence and Machine Learning.

- Candidates passionate about Python, SQL, Cloud Computing, and Software Engineering.

- Individuals with academic or personal projects involving Machine Learning or Data Engineering.

- Aspiring engineers looking to gain real-world experience in production AI systems.

- Professionals seeking to build long-term careers in AI, Cloud Engineering, and MLOps.