AI & Machine Learning Architect at CNA

| Chicago
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Job Summary

This architecture role is responsible for designing Artificial Intelligence and Machine Learning solutions, selecting appropriate technologies, conducting proof-of-concepts, and working with partners to integrate AI/ML services with other enterprise systems.


Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:

1. Design, guide, review and govern enterprise AI/ML architecture. Create and maintain AI/ML architecture standards. Present recommendations to the Architecture Review Board.
2. Define and document technical and non-functional requirements. Build fully functioning prototypes and debug complex AI/ML issues.
3. Drive the implementation of operational framework for machine learning and deep learning platforms.
4. Train business units on AI/ML applications. Research and evaluate new emerging technologies to improve operational effectiveness, reduce risk, and increase speed to market.
5. Recommend technologies that will enhance current systems and support overall corporate objective.
6. Provide consultation to business and IT partners to ensure applications and systems follow established standards, procedures and methodologies.
7. Provide business stakeholders with guidance on interpreting AI/ML results.
8. Support business case development and provide architecture governance for AI/ML projects.

May perform additional duties as assigned.

Reporting Relationship
Director or above

Skills, Knowledge & Abilities
1. Strong in architecture design. Understand the complexity of productizing AI/ML solutions.
2. Solid communication and interpersonal skills to work effectively with vendors, clients, peers, and IT management. Be able to clearly communicate complex technical and business concepts both to business partners and team members.
3. Strong analytical and problem solving skills. Hands on programming using Python, R, SQL, Spark, or Java.
4. Solid attention to detail and ability to convert complex data into insights and action plans.
5. Solid understanding of technology and business trends that allows architecture to solve problems in a creative and cost effective manner.
6. Good understanding of foundational statistics concepts and algorithms. Operational knowledge of supervised and unsupervised machine learning algorithms.
7. Good knowledge on the system development life cycle, technological alternatives, and architecture methodologies for multi-platform environments.
8. Flexible problem solver, great listener and team orientation.
9. Proven ability to collaboratively and passionately foster AI mindset.

Education & Experience
1. Bachelor’s or Master’s Degree preferred in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical field or equivalent.
2. A minimum of 7 years work experience with a Bachelor’s degree or 5 years working experience with a Master’s degree in related fields.
3. Experience building systems that leverage various machine learning algorithms or technologies.
4. Experience with open source technologies, AI/ML libraries, and programming languages.
5. Experience in building robust data pipelines and familiarity with ETL, SQL and Data Analysis tools.
6. Experience working in a cloud environment (AWS, Azure, and GCP) or a containerized environment (Kubernetes) preferred.
7. Experience in deep learning, NLP, computer vision and conversational AI preferred.
8. Familiarity with agile development methodologies and scrum frameworks preferred.

 

 

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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • .NETLanguages
    • JavaLanguages
    • JavascriptLanguages
    • KotlinLanguages
    • PerlLanguages
    • PythonLanguages
    • RLanguages
    • SqlLanguages
    • jQueryLibraries
    • jQuery UILibraries
    • ReactLibraries
    • AngularJSFrameworks
    • Node.jsFrameworks
    • SpringFrameworks
    • AccessDatabases
    • DB2Databases
    • Microsoft SQL ServerDatabases
    • MySQLDatabases
    • OracleDatabases
    • PostgreSQLDatabases
    • Google AnalyticsAnalytics
    • ConfluenceManagement
    • JIRAManagement
    • Microsoft ProjectManagement
    • SalesforceCRM
    • SendGridEmail
    • MarketoLead Gen

Location

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.

Culture
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)
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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