Job Description

Position Overview

CertifyOS is seeking an experienced ML Engineer to innovate with new AI/ML technologies, delivering customer value across the Certify platform and multiple product lines. This role involves analyzing customer requirements, developing concepts for new applications, and coordinating with cross-functional teams to determine overall system solutions.

About CertifyOS

At CertifyOS, we're building the infrastructure that powers the next generation of provider data products, making healthcare more efficient, accessible, and innovative. Our platform is the ultimate source of truth for provider data, offering unparalleled ease and trust while making data easily accessible and actionable for the entire healthcare ecosystem.

What sets us apart?

• Our cutting-edge, API-first, UI-agnostic, end-to-end provider network management platform automates licensing, enrollment, credentialing, and network monitoring.
• Direct integrations into hundreds of primary sources enhance visibility into the provider network management process.
• Our team brings over 25+ years of combined experience building provider data systems at Oscar Health.
• We are backed by top-tier VC firms who share our bold vision of creating a one-of-a-kind healthcare cloud that eliminates friction surrounding provider data.
• We foster a meritocratic environment where every voice is heard, valued, and celebrated, founded on principles of trust, transparency, and accountability.

We're looking for purpose-driven individuals to join us on this exhilarating ride as we redefine healthcare data infrastructure.

Responsibilities

• Innovate with new AI/ML technologies to deliver customer value across the Certify platform and multiple product lines.
• Analyze customer requirements and develop concepts for new applications.
• Coordinate with product management, software architects, engineers, and data science teams in determining overall system solutions.

Requirements

• 6+ years of relevant work experience with AI/ML technologies.
• 4+ years as an ML engineer.
• A strong track record of delivery of AI/ML products.
• Demonstrable track record of delivering platform services to enable AI/ML products to operate at scale in production.
• Experience in enterprise software development with some Big Data software development.
• Predictive Analytics model implementation experience in production environments using ML/DL libraries like TensorFlow, H20, Pytorch, Sci-kit Learn.
• Experience with model serving technology in the cloud (e.g., VertexAI).
• Experience in designing, developing, optimizing, and troubleshooting complex data analytic pipelines and ML model applications using big data related technologies such as Spark or Hive.
• Experience with a variety of GenAI models.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, etc. and their real-world advantages/drawbacks.
• Experience fine-tuning GenAI models in private deployments.
• Knowledge of Agile frameworks, ideally Scrum, and tools like Jira and Confluence.
• Ability to communicate in a team-oriented environment to clarify and refine requirements and deliver solutions within committed timelines.
• Strong analytical and problem-solving skills, with a detail-oriented mindset.
• Expertise with development in Java and Python.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Bachelor's or advanced degree in computer science, applied math, statistics or other relevant quantitative discipline, or equivalent industry experience.
• Master's/Ph.D in Computer Science or relevant technology field.
• Experience in using NLP, OCR, GenAI, Entity Resolution, data capture/extraction.
• Programming in Python and R using distributed frameworks like PySpark, Spark, SparkR.
• Rigorous understanding of statistics and ability to discern appropriate statistical techniques to problem-solve.
• Familiarity with virtualization/containerization, DevOps and CI/CD tools for automation of build, packaging, deployment, and testing.
• Experience with Google's cloud services such as Cloud Run, App Engine.

Employment Type

Full Time

Location Type

Information not provided.

Salary

Information not provided.