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    Senior AI/ML Engineer - Chicago, United States - CNA

    CNA
    CNA Chicago, United States

    3 weeks ago

    Default job background
    Full time
    Description

    You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
    CNA seeks to offer a comprehensive and competitive benefits package to our employees that helps them - and their family members - achieve their physical, financial, emotional and social wellbeing goals.
    For a detailed look at CNA's benefits, check out our Candidate Guide .
    An individual contributor role that provides a high level of leadership and expertise in building Artificial Intelligence and Machine Learning (AI & ML) platforms and enabling AI/ML solutions for financial services and insurance. With a focus on accountability and integrity, this role will take initiative to deliver high-quality solutions that meet the business needs of CNA. The role will be responsible for developing data into usable information to create automated analytics solutions.
    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 and operationalizes predictive models which leverage machine learning and advanced data analysis techniques.
    • 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, R or Java.
    • Cultivates innovation by proactively proposing new ideas to deliver business value more effectively.
    • 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.
    • Strong coding fluency in Python, R, or Java, with knowledge of object-oriented design principles for larger-scale development
    • Experience with Kubeflow, Airflow or other workflows; Docker containerization; and managed Kubernetes systems
    • 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.
    • Proficient in data visualization tools (e.g., Looker, Power BI).
    • Proficient in data preprocessing and cleaning techniques. Ability to create compelling visualizations to communicate insights.
    • 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 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 & 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.
    • Applicable certifications preferred.


    #LI-JB1
    #Remote
    CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact .

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