Senior Machine Learning Engineer

Description

This position is based in Mérida, Yucatán, México.  If you do not live in/around Merida, and are still interested in this position, relocation will be required within 60 days of accepting this position.  Verato will provide a relocation bonus of $42,500 MNX pesos to help with your move.

About Verato

Verato, the identity experts for healthcare, is a high growth healthcare technology company that enables better care everywhere by providing the single source of truth for identity to organizations across the care continuum. Over 80 of the most respected brands in healthcare rely on Verato’s next generation cloud identity resolution platform for a complete and trusted 360-degree view of their patients, provider networks, and customers in their communities. With significant market momentum building towards digital health transformation, Verato is experiencing hyper customer and revenue growth, doubling in last 15 months alone and growing over 50% annually over the last 3 years. More importantly, Verato celebrates 99% customer retention, exemplifying the fact that customer obsession is at the center of our growth story. 

Core to Verato’s strategy for continued growth is our drive to build a strong people-first culture that attracts, develops and retains the best skills and talent in the world. Verato operates on the simple notion that a company must first and foremost take care of its employees. In turn, these employees will take care of the company’s customers, and these customers will take care of the company’s shareholders. Verato believes in empowering teams with the best tools and development available. Staff receive opportunities to expand their knowledge in areas of technology (e.g. big data, distributed/cloud computing, complex algorithms), healthcare and organizational development. As Verato continues a trajectory of high-growth and high impact, each member of the team gets an influential front-row seat as we execute our business strategy. Together, we can make a profound and positive change in healthcare as we know it today. 

Verato Values

We are focused on continually raising the bar on excellence across the organization, from marketing to engineering to customer service. Our guiding principles are to Make a Difference, to be Trustworthy and to be Customer Obsessed. 

Verato employees have a precise focus on proactively protecting the privacy and security of all systems while always ensuring they are following documented policies and procedures.

Daily Responsibilities

• Collaborate in the design and development of Verato’s Software as a Service offering
• Collaborate with US / Merida based teams on AI/ML software development and delivery 
• Design, build, test, run, and maintain Machine Learning pipelines including model training workflow, model deployment and model serving
• Work effectively within an Agile framework to deliver new capabilities
• Own the end-to-end implementation of AI/ML infrastructure and MLOps framework for ML model telemetry and ML experiments tracking 
• Integrate Python based recommendation engine with backend APIs and databases 
• Participate in all phases of the Software Development Life Cycle: Design of new components, new feature development, Test Automation, Performance and Scalability tuning, Issue Troubleshooting, SW Maintenance, Usage and improvement of the CI/CD Infrastructure, Integration of new services with the DevOps infrastructure, etc.
• Advice and consult with the broader engineering, product, and customer experience organizations on AI/ML related issues and optimizations

Requirements

To fulfill the responsibilities of this position, the following is required:

• BS or MS in Computer Science, Engineering or a related field
• 5+ years of experience in building and deploying Machine Learning based software application with overall 7+ years of industry experience
• Able to collaborate with diverse onsite / remote teammates on software development and delivery utilizing agile methodologies 
• Strong understanding of different AI/ML frameworks and libraries including XGBoost, scikit-learn, pandas, numpy, keras, huggingface, etc. 
• Hands on experience in developing and deploying Python applications in production
• Experience with MLOps frameworks such as MLFlow, Kubeflow, etc.
• Have worked on end-to-end ML pipeline including model storage, model training, model versioning, model serving, model containerization and deployment
• Proficiency in database technologies, SQL queries and orchestration tools like airflow
• Experience managing cloud infrastructure in AWS or GCP with templating software like CloudFormation or Terraform
• Able to apply Object Oriented Analysis and Design principles including Design Patterns
• Able to understand and work using CI/CD Technologies such as Jenkins, Git, SonarQube 
• Strong technical and analytical skills with ability to analyze system functionality and resolve production issues
• Able to work under pressure, some tight deadlines and with ambiguity on some projects
• Experience with systems and software architecture
• Strong communication and presentation skills