Senior AI & ML Engineer

JOB DESCRIPTION

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines :

• Builds out AI & ML capabilities in conjunction with data scientists and other key stakeholders to drive business value.
• Productionizes, operationalizes, and maintains MLOps capabilities to support machine learning implementations throughout the organization.
• Designs and builds data science platforms and model deployment pipelines to scale AI & ML engines in a cloud environment.
• Delivers well-styled, well-tested, and maintainable code in Python.
• Cultivates innovation by proactively proposing new ideas to deliver business value more effectively and leading experimentation efforts.
• Identifies the right combination of tools and frameworks to turn a business problem into an analytics solution.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications;

establishing personal networks; participating in professional societies. Supports the evolution of CNA application development processes and standards.

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

• Strong experience rapidly deploying AI & ML solutions to production in a DevOps environment. Expertise in building machine learning platforms and data pipelines at scale.
• Proficient in Python (or ability to quickly become proficient), with knowledge of object-oriented design principles for larger-scale development.

Familiarity with R is a plus, but not required.

• Experience with Kubeflow, Airflow or other workflows; Docker containerization; and managed Kubernetes systems.
• Experience using Git and with version control best practices.
• Familiar with Agile workflow.
• Familiar with CI / CD and automation workflows, and experience in using GitHub Actions, Concourse, or similar automation tools.
• 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 data analytical skills. Familiar with major machine learning algorithms.
• Solid experience managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data.
• Ability to work independently as well as in a team and a highly-matrixed environment.
• Experience in cloud computing platforms. Google Cloud Platform preferred.
• Experience with large data sets and distributed computing (Spark) preferred but not required.
• Experience with data visualization tools (e.g., Looker, Power BI) preferred but not required.

Education & Experience

Bachelor’s Degree in Computer Science, Engineering, Mathematics, Computational Statistics, Data Science or related technical field or equivalent;

Master’s Degree preferred.

• Typically 5+ year’s work experience in Artificial Intelligence or Machine Learning.
• At least 1-2 years of experience developing, testing, and deploying larger scale software solutions.
• Experience in machine learning, deep learning, information retrieval, natural language processing or data mining preferred.
• Experience in ETL / ELT and data visualization preferred but not required.
• Applicable certifications preferred.
30+ days ago