Lead Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Create top-tier models for identifying subrogation opportunities utilizing the most recent advancements in machine learning and adhering to optimal software engineering practices.

• Engage and collaborate with business stakeholders, including customers, sales personnel, and product managers, to propel the development of innovative models and features through teamwork.

• Work alongside data engineering and software engineering teams to guarantee a seamless flow of data across teams and APIs pertaining to outbound subrogation.

• Provide mentorship to junior machine learning engineers within the outbound subrogation team to cultivate a high-performing group.

⛳️ Requirements

• Profound understanding of the machine learning lifecycle, including development, evaluation, deployment, monitoring, and iterative processes.

• Exceptional communication skills, with the capability to articulate complex technical concepts to non-technical audiences.

• Practical experience in experimental design and model evaluation.

• Proficiency in ML system design, model deployment, and operational machine learning systems.

• Experience engineering production-grade Generative AI features with thorough validation, sanity checks, and structured outputs to reduce hallucination and business risk.

• Familiarity with the AWS stack related to machine learning, such as Sagemaker, Lambda, Step Functions, and IAM.

• Strong foundation in software engineering principles and best practices, including CI/CD, Test-Driven Development, and Infrastructure as Code.

• Experience in translating business goals into technical roadmaps and deliverables.

• Ability to harmonize technical excellence with business priorities and timelines.

• Strong skills in stakeholder management and cross-functional collaboration.

• Nice to have: Background in subrogation, claims processing, insurance, or financial technology.

• English proficiency at the Upper-Intermediate level.

🏝️ Benefits

• Opportunities to work on international projects.

• Options for in-office, hybrid, or remote work arrangements.

• Comprehensive medical healthcare coverage.

• A recognition program acknowledging employee contributions.

• Opportunities for professional and personal development.

• Classes for learning foreign languages.

• Well-being programs to support employee health.

• Participation in corporate events.

• Compensation for sports-related activities.

• A referral program for employee recommendations.

• Provision of necessary equipment for work.

• Paid vacation and sick leave.