Note: The job is a remote job and is open to candidates in USA. EvolutionIQ is a company dedicated to developing advanced technology to improve insurance claims handling, making it more accurate, fair, and efficient. They are seeking a Senior Machine Learning Engineer to build and deploy scalable ML models, perform exploratory data analysis, and translate business problems into ML solutions, focusing on insurance claims data and natural language processing. The role requires innovation, ownership, and collaboration to tackle challenging problems and deliver impactful 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
- Company equity plan (RSUs)
- 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).
- 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.
Company Overview
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