AI & Machine Learning Engineer

| Chicago
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Job Summary

An individual contributor role that provides a high level of leadership and expertise in building Artificial Intelligence and Machine Learning (AI & ML) platforms and solutions for financial services and insurance. The role will be responsible for developing data into usable information to create automated analytics solutions.

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

  1. Builds out AI & ML capabilities in conjunction with data scientists and other key stakeholders to drive business value.
  2. Productionizes and operationalizes predictive models leveraging machine learning and advanced data analysis techniques.
  3. Designs and builds data science platforms and model deployment pipelines to scale AI & ML engines in a cloud environment.
  4. Delivers well-styled, well-tested, and maintainable code in Python, R or Java.
  5. Cultivates innovation by proactively proposing new ideas to deliver business value more effectively.
  6. Identifies the right combination of tools and frameworks to turn a business problem into an analytics solution.
  7. 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

  1. Strong experience rapidly deploying AI & ML solutions to production in a DevOps environment. Expertise in building machine learning platforms and data pipelines at scale.
  2. Strong coding fluency in Python, R, or Java. Experience with Kubeflow, Airflow or other workflows and Docker containerization. Experience with large data sets and distributed computing (Spark).
  3. 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.
  4. Strong data analytical skills. Familiar with major machine learning algorithms.
  5. 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.
  6. Strong interpersonal skills; ability to work independently as well as in a team and a highly matrixed environment.
  7. Experience in cloud computing platforms. Google Cloud Platform preferred.

Education & Experience

  1. Bachelor’s Degree in Computer Science, Engineering, Mathematics, Computational Statistics, Data Science or related technical field or equivalent; Master’s Degree preferred.
  2. Typically 5+ year’s work experience in Artificial Intelligence or Machine Learning.
  3. Experience in machine learning, deep learning, information retrieval, natural language processing or data mining preferred.
  4. Applicable certifications preferred.



EEO Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


 Information Systems

Primary Location

United States-Illinois-Chicago



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Located in the heart of the loop, CNA’s headquarters are at 151 N Franklin. With close proximity to both L and Metra stations.

What are CNA Perks + Benefits

CNA Benefits Overview

One of the many advantages of working at CNA is the benefits program we offer you and your eligible dependents,
beginning on the first day of your employment. The program features a variety of plans that provide health care
benefits, well-being, disability and survivor protection, and 401(k) savings, among others. Below are highlights
of the offerings.

Volunteer in local community
Partners with Nonprofits
Open door policy
Group brainstorming sessions
Open office floor plan
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Retirement & Stock Options Benefits
401(K) Matching
Company Equity
Employee Stock Purchase Plan
Performance Bonus
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Family Medical Leave
Adoption Assistance
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Diversity Program
Lunch and learns
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