AI Machine Learning Engineer

Responsibilities

• Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
• Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
• Accountable for deployment design, development and maintenance of both traditional ML and AI models.
• Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams.
• Delivery of critical milestones for model deployment in the AWS and GCP cloud environments.
• Adept at adopting and promoting MLOps best practices to the Data Science community.

Requirements

• Must be authorized to work in the U.S. now and in the future.
• 1+ years of equivalent experience in a research or DevOps function.
• Development experience developing solutions within AWS, GCP or both.
• Familiarity with building and deploying API services within the Cloud.
• Exposure to building CICD pipelines using Jenkins or equivalent.
• Exposure with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents.
• Experience in Unix, git, and strong object-oriented development experience using Python.
• Exposure to workflow automation platforms (Apache Airflow, Autosys, similar).
• Basic understanding of Data Science model development life cycle.
• Familiarity with emerging data-centric technologies such as generative AI, agentic workflows, and embedding LLM’s into automated processes.

Qualifications

• The role is Hybrid with an expectation of working in an office 3 days a week (Tuesday through Thursday).
• Candidates must be authorized to work in the US without company sponsorship.

Benefits

This role offers a competitive compensation package, including a base pay range of $100,960 - $151,440 annually, subject to individual performance and qualifications.

Pay

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role.

Schedule

The role is Hybrid with an expectation of working in an office 3 days a week (Tuesday through Thursday).

About Us

We believe every day is a day to do right. And that belief has guided us for over 200 years. Showing up for people isn’t just what we do, it’s who we are. We’re devoted to finding innovative ways to serve our customers, communities and employees – continually asking ourselves what more we can do.