AI Intern

CertifyOS

AI Intern building production ML services for CertifyOS, whose API platform automates healthcare provider data operations. Deploying, evaluating, and improving services on Python and GCP.

Posted 8/7/2026internshipRemote • 🇮🇳 IndiaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building, testing, and deploying machine learning services using Python and Google Cloud Platform, with a strong focus on software engineering practices and effective communication with stakeholders.

Highest-signal resume keywords

Python ProgrammingGoogle Cloud Platform (GCP)Machine Learning Project DevelopmentSQL Query WritingCI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning EngineeringSoftware Engineering FundamentalsUnit TestingIntegration TestingDebuggingGitMonitoringEvaluation MetricsData WorkflowsModel Evaluation

Soft Skills

Excellent Communication SkillsIndependent Project ManagementCollaboration with Stakeholders

Tools & Technologies

Cloud RunGKECloud FunctionsPub/SubBigQueryCloud StorageMLflowWeights & Biases

Industry Keywords

Healthcare DataCompliancePII

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformJavaPythonSQL

About the role

Key responsibilities & impact

Build, test, and deploy ML-powered services on CertifyOS’s provider data platform
Design, implement, and maintain ML-driven services and data workflows in Python
Apply software engineering practices including clean code, unit and integration testing, code reviews, CI/CD, observability, and documentation
Build and maintain evaluation pipelines and metrics for model and system performance
Deploy and operate ML services on GCP, including Cloud Run, GKE, Cloud Functions, Pub/Sub, BigQuery, and Cloud Storage
Troubleshoot and improve ML services for reliability, latency, and correctness
Collaborate with product, operations, engineering, and data stakeholders
Communicate trade-offs, risks, timelines, and results to technical and non-technical audiences

Requirements

What you’ll need

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 software engineering fundamentals, including testing, debugging, Git, CI/CD, and monitoring
Experience defining ML metrics, building evaluation datasets, running experiments, and interpreting results
Ability to work independently and drive projects with limited supervision
Excellent written and verbal communication skills in English
Comfort proactively reaching out to internal stakeholders to understand requirements
Experience building end-to-end machine learning projects from problem definition to model evaluation
Bonus: Java programming, GCP data pipelines or ETL, healthcare data/compliance/PII, and MLflow, Weights & Biases, or custom dashboards

Benefits

Comp & perks

100% coverage of health, dental, and vision insurance premiums for employees
Unlimited PTO for the US-based team
At least two weeks off each year to recharge for the US-based team
Health insurance for employees in India
Statutory leave benefits in India
Additional wellness (menstrual) leave for women in India
Inclusive environment and equal opportunity commitment
Reasonable accommodations during the application process