
AI Intern
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in India.
• Develop, test, and launch machine learning-powered solutions on CertifyOS’s provider data platform.
• Create, execute, and sustain ML-based services and data workflows using Python.
• Implement software engineering best practices, such as clean coding, unit and integration testing, code reviews, CI/CD, observability, and thorough documentation.
• Construct and uphold evaluation pipelines and performance metrics for both models and systems.
• Deploy and manage ML services on Google Cloud Platform, utilizing Cloud Run, GKE, Cloud Functions, Pub/Sub, BigQuery, and Cloud Storage.
• Diagnose and enhance ML services for reliability, latency, and accuracy.
• Collaborate effectively with product, operations, engineering, and data teams.
• Articulate trade-offs, risks, timelines, and outcomes to both technical and non-technical stakeholders.
• Proven experience as a Software Engineer or Machine Learning Engineer.
• Strong command of Python and demonstrated experience in building production-grade services.
• Practical experience in deploying and managing workloads on Google Cloud Platform.
• Proficiency in writing and debugging SQL queries.
• Solid foundation in software engineering principles, including testing, debugging, Git, CI/CD, and monitoring.
• Experience in defining ML metrics, creating evaluation datasets, conducting experiments, and analyzing results.
• Capacity to work autonomously and manage projects with minimal oversight.
• Exceptional written and verbal communication skills in English.
• Comfort in proactively engaging with internal stakeholders to gather requirements.
• Background in developing end-to-end machine learning projects from problem identification to model evaluation.
• Bonus: Experience with Java programming, GCP data pipelines or ETL processes, healthcare data/compliance/PII, and tools such as MLflow, Weights & Biases, or custom dashboards.
• Full coverage of health, dental, and vision insurance premiums for employees.
• Unlimited paid time off (PTO) for the US-based team.
• Minimum of two weeks off each year to recharge for the US-based team.
• Health insurance coverage for employees in India.
• Statutory leave benefits applicable in India.
• Additional wellness (menstrual) leave for women in India.
• Commitment to an inclusive environment and equal opportunity.
• Reasonable accommodations provided during the application process.
Progressive Leasing
apna
apna
Texas Research International
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