Senior AI/ML Engineer (Remote)
Location: Must reside in WA, OR, ID, OH, SC, TX, or FL
Compensation: $150K–$170K depending on location

A well-established organization in the insurance and analytics space is seeking a Senior AI/ML Engineer to join their remote team. This role is ideal for a seasoned professional with deep expertise in Azure and Databricks, and a passion for building scalable AI/ML solutions that drive business impact.

Key Responsibilities

• Lead technical workshops to gather requirements and design architecture for analytics and AI/ML initiatives using Azure and Databricks.

• Architect and manage Databricks environments across development, testing, and production.

• Define and implement Lakehouse architecture and governance best practices.

• Deploy Databricks SQL, Delta Live Tables, and MLflow for scalable experimentation.

• Build and maintain MLOps workflows for model deployment and monitoring.

• Conduct code reviews and ensure quality across AI/ML and smart analytics solutions.

• Design and develop robust data pipelines and cloud services for monitoring and reporting.

• Optimize SQL queries and stored procedures for data processing and validation.

• Collaborate with cross-functional teams to ensure data reliability and scalability.

• Scale data science models to handle large volumes of data and build deployment pipelines.

• Implement observability and logging for AI/ML performance.

• Conduct architecture reviews and performance tuning.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or related field (Master’s preferred).

• 5+ years of experience in ETL pipeline development and SQL Server.

• 3+ years of enterprise experience with Azure and Databricks AI/ML services.

• Proven experience in applying ML algorithms and transforming prototypes into production-ready models.

• 4+ years of experience with CI/CD workflows for ML models.

• Experience in the insurance domain is a plus.

• Strong background in batch and streaming data pipelines, including Kafka and Azure Event Hubs.

• Familiarity with tools such as Azure ML, Microsoft Fabric, Synapse Analytics, Power BI, Snowflake, and Azure OpenAI.

• Agile methodology experience (Scrum preferred).

• Excellent problem-solving, communication, and organizational skills.

• Ability to work independently and manage tasks with minimal supervision.

Benefits

• Comprehensive medical, dental, and vision coverage with generous employer contributions.

• Employer-paid life, AD&D, and disability insurance.

• 401(k) with a 2-for-1 employer match on the first 6% of contributions.

• Generous PTO including vacation, personal days, holidays, and sick leave.

Equal Opportunity Employer/Veterans/Disabled

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The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers
• San Francisco Fair Chance Ordinance

Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.