Senior AI & ML Engineer

Published date Posted on Indeed on Aug 03, 2022 (16 d ago)
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.
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:
  • Builds out AI & ML capabilities in conjunction with data scientists and other key stakeholders to drive business value.
  • Productionizes and operationalizes predictive models leveraging 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. Experience with Kubeflow, Airflow or other workflows and Docker containerization. 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 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.
  • Experience in machine learning, deep learning, information retrieval, natural language processing or data mining preferred.
  • Applicable certifications preferred.

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