LHH Recruitment Solutions
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.
Pay Details:
$130,000.00 to $190,000.00 per year
Search managed by:
Devin Hurley
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www-uat.lhh.com/us/en/candidate-privacy
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.
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.
Pay Details:
$130,000.00 to $190,000.00 per year
Search managed by:
Devin Hurley
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www-uat.lhh.com/us/en/candidate-privacy
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.