ModelOps Automation Engineer for AI Enablement

Aptonet; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Aptonet is seeking a ModelOps Automation Developer to design and build Python-based solutions in Databricks that enable AI model lifecycle management. You will create reusable libraries, automate environments connected to Snowflake, and implement robust CI/CD pipelines for testing, deployment, and retraining.

You will collaborate with data scientists, engineers, and business teams to deliver scalable, reliable model deployment, monitoring, and governance.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Statistics, or a related field.
• Five or more years of data engineering development experience, including software development and automation.
• Advanced Python programming skills.
• Hands-on experience building solutions within Databricks, including reusable libraries, integrations, or automated workflows.
• Strong experience with database platforms such as Snowflake, Oracle, or Microsoft SQL Server.
• Basic familiarity with Linux/UNIX command-line environments.
• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills, with the ability to explain technical concepts to business and technical audiences.
• Ability to work independently, collaborate across teams, and manage multiple priorities in a deadline-driven environment.

Responsibilities

• Design and build Python-based solutions within Databricks to support AI enablement and model operations.
• Develop reusable libraries and components for authentication, authorization, logging, and reporting.
• Automate creation and configuration of model development environments with Snowflake connectivity.
• Create CI/CD pipelines to support model testing, deployment, versioning, monitoring, and retraining.
• Develop APIs and integrations connecting data pipelines, databases, and enterprise systems.
• Collaborate with data science, actuarial, engineering, and citizen developer teams to translate business needs into technical solutions.
• Support data preparation, cleansing, and schema design for ML initiatives.
• Apply ModelOps best practices for governance, access controls, and regulatory compliance.
• Troubleshoot workflow and integration issues and optimize performance.
• Develop familiarity with insurance modeling applications, including mortality, morbidity, and fraud.

Skills

Python

Databricks

CI/CD pipelines

Snowflake

SQL Server / Oracle

Linux/UNIX

Data engineering

Automation

Education

Bachelor’s degree in Computer Science or related

Master’s degree (preferred)

Tools

Jenkins

Terraform

AWS CloudFormation

Snowflake

Databricks

Job description

Aptonet is seeking a ModelOps Automation Developer to design and build Python-based solutions in Databricks that enable AI model lifecycle management. You will create reusable libraries, automate environments connected to Snowflake, and implement robust CI/CD pipelines for testing, deployment, and retraining.

You will collaborate with data scientists, engineers, and business teams to deliver scalable, reliable model deployment, monitoring, and governance.