Senior ML Engineer
CertifyOS
Software Engineering, Data Science
Delhi, India · Mumbai, Maharashtra, India · Bengaluru, Karnataka, India · Chennai, Tamil Nadu, India · Hyderabad, Telangana, India
Posted on May 20, 2025
About Certify:
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 like never before. With direct integrations into hundreds of primary sources, we have an unbeatable advantage in enhancing visibility into the entire provider network management process. Plus, our team brings over 25+ years of combined experience building provider data systems at Oscar Health, and we're 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.
But it's not just about the technology; it's about the people behind it. At Certify, we foster a meritocratic environment where every voice is heard, valued, and celebrated. We're founded on the principles of trust, transparency, and accountability, and we're not afraid to challenge the status quo at every turn. We're looking for purpose-driven individuals like you to join us on this exhilarating ride as we redefine healthcare data infrastructure.
About the Role
What you'll Do
- 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
What you'll need
- 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 (ex. VertexAI)
- Experiences 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.
Even better if you have two or more of the following:
- 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 Googles cloud services such as Cloud Run, App Engine and Big Query
- Experience with git tooling
- Experience with Jira and Confluence.
- Good soft skills in working with other engineering and analytical teams to arrive at optimal solutions to technical challenges.
- High degree of initiative with a passion for learning technology.
At Certify, we're committed to creating an inclusive workplace where everyone feels valued and supported. As an equal opportunity employer, we celebrate diversity and warmly invite applicants from all backgrounds to join our vibrant community.