[Remote] Senior Machine Learning (ML) Engineer (AI Insurtech)

Note: The job is a remote job and is open to candidates in USA. EvolutionIQ is dedicated to transforming the insurance space with innovative technology that enhances claims handling. They are seeking a Senior Machine Learning Engineer to build and implement scalable ML models, conduct exploratory data analysis, and translate business problems into ML solutions.

Responsibilities

• Build ML models for production use
• Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies
• Suggest and implement new features to improve model performance and business logic
• Write and review production-quality PRs daily
• Translate client business problems into ML problems
• Build scalable machine learning models for claim time series forecasting and NLP text understanding
• Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets

Skills

• 2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments
• You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions
• You have excellent written and verbal communication skills and can effectively correspond between technical and non-technical audiences
• You're a team player who is solutions-oriented
• Experience leveraging Claude Code and related tools is a strong plus
• Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
• Owned and deployed, and maintained model-serving pipelines in production
• Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns
• Experience with advanced statistical modeling, especially probabilistic programming
• Ambitious, collaborative, and empathetic values
• A work style that is open to giving and receiving critical feedback and collaborating effectively across teams

Benefits

• An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
• Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching.
• Additional family, wellness, and pet benefits.
• Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers).
• We offer a flexible schedule for new parents returning to work.
• Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
• $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
• We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa.

Company Overview

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