Senior AI & ML Engineer

Essential Duties and Responsibilities:

• Performs a combination of dutiesin accordance withdepartmental guidelines:

• Lead solution design and build AI solutions to accelerate data migration from legacy to the cloud.

• Collaborates with engineers and driver the adoption of AI development tools such asClaudecode

• Productionizes and operationalizes AI solutions and advanced data analysis techniques.

• Designs and builds reusable pipelines to scale AI/ML solutions in a cloud environment.

• Delivers well-styled well-tested and maintainable code in BQ Python.

• Cultivates innovation by proactively proposingnew ideasto deliver business value more effectively.

• Identifiesthe right combination of tools and frameworks to turn a business problem into an analytics solution.

• Maintainsprofessional and technical knowledge by attending educational workshops; reviewing professional publications;establishingpersonal networks;participatingin professional societies. Supports the evolution of CNA application development processes and standards.

• May performadditionalduties as assigned.

Reporting Relationship

Typically Director or above

Skills Knowledge and Abilities:

• Expertisein data engineering and ETL migration from legacy to modern platforms

• Expertisein building machine learning platforms and data pipelines at scale.

• Strong experience rapidly deploying AI/ML solutions to production in a DevOps environment.

• Strong coding fluency in Python. Experience with Big Query Claude Code RAG LLMs ADK Prompting is expected. Experience with large data sets and distributed computing (Spark).

• Strong interpersonal and communication skills.Ability to articulate workflows and ability to describe the logic and implications of a complex model to non-technical audiences.

• Strong SQL and data analytical skills. Familiar with major machine learning algorithms.

• Solid experience managing diverse data sources including preprocessing cleansing and verifying the integrity of data to develop data marts for data science use cases and machine learning applications.

• Strong interpersonal skills; ability to work independently as well as in a team and a highly matrixed environment.

• Experience in cloud computing platforms. Google Cloud Platform preferred.

Education and Experience:

• Bachelors Degree in Computer Science Engineering Mathematics Computational Statistics DataScienceor related technical field or equivalent;Masters Degreepreferred.

• 7yearswork experience in data engineering Artificial Intelligence or Machine Learning.

• Experience in machine learning deep learning information retrieval natural languageprocessingor data mining preferred.

• Applicable certifications preferred.

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