CLARA Analytics

Machine Learning Engineer

• Design, train, and optimize machine learning model architectures for production use cases
• Build and maintain robust ML pipelines for data ingestion, feature engineering, training, and deployment
• Collaborate with data scientists to move research prototypes into production environments
• Implement model monitoring, retraining strategies, and performance diagnostics to ensure reliability
• Develop scalable APIs and services that expose ML capabilities to downstream systems
• Apply best practices in MLOps, CI/CD, and AWS-native deployments
• Ensure explainability, fairness, and compliance in ML solutions
• Conduct code and model reviews of your peers, providing actionable feedback to ensure a high standard of quality
• Contribute to technical standards across the ML team
• Report directly to the VP of Data Science and collaborate with data scientists, MLOps engineers, data engineers, and product stakeholders

Senior Machine Learning Engineer

Technical Program Manager

• Lead cross-functional “big bet” programs spanning Product, Engineering, Data Science, and Customer Success to deliver AI/ML initiatives that transform claims processing
• Own quarterly roadmap planning and coordinate execution across multiple teams, ensuring alignment on customer delivery timelines and go-to-market activities
• Work directly with executive leadership providing regular detailed reporting on program health, risks, and outcomes, including strategic status updates
• Manage customer delivery accountability including escalation resolution, go-live support, and ensuring all teams are aligned to delivery commitments
• Build and maintain sprint plans across multiple teams and business units, coordinating dependencies for platform releases and customer implementations
• Establish metrics and accountability systems that drive execution velocity across programs, tracking end-to-end delivery efficiency and customer success indicators
• Maintain cross-functional resource view across Engineering and Data Science teams to optimize allocation, identify bottlenecks, and support prioritization decisions
• Create organization-wide culture of execution through process standardization, clear escalation paths, and systematic follow-up on commitments
• Drive process improvements that streamline team coordination, eliminate planning gaps, and accelerate time-to-customer-value for AI solutions

Senior Technical Program Manager

Product Specialist

Responsible for subject matter assessment of complex casualty claims
Assessing claims quality across the enterprise
Collaborating cross-functionally to develop, implement, and refine claims solutions, tools, and processes
Translate front-line claim and litigation into product features and process enhancements
Conduct product reviews across product lines for accuracy and consistency
Prepare detailed quality reports with findings, root cause analysis, and recommendations
Develop and implement test plans and business use cases for products; review and approve use cases and testing results

Claims Product Specialist

Attorney

• Part-time legal research and analysis to support training and refining claims AI models
• Conduct in-depth legal research related to insurance claims, civil litigation, tort law, and related practice areas
• Analyze court decisions, statutes, regulations, and legal commentary to identify patterns and precedents
• Summarize case law, insurance policies, and legal standards to support AI model training and validation
• Assist in annotating legal documents, claims data, and case outcomes for machine learning datasets
• Collaborate with data scientists, engineers, legal analysts, and product teams to improve model accuracy and legal soundness
• Maintain documentation of research methodologies and results

Senior Machine Learning Engineer

Senior Technical Program Manager

Claims Product Specialist

Legal Analyst, Researcher