Senior AI & ML Engineer-INF0001XEDescription
Position could be filled at Sr AI/ML Engineer or AI/ML Engineer levels
Job Summary
An individual contributor role that provides the highest level of leadership in designing and building Artificial Intelligence and Machine Learning (AI & ML) platforms and solutions for financial services and insurance. The role also provides guidance to others to support the implementing of complex analytics capabilities.
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
- Acts as the principal builder of large scale AI/ML capabilities in conjunction with data scientists and other key stakeholders to drive business value.
- Leads the productization of predictive models leveraging machine learning and advanced data analysis techniques.
- Leads the design and implementation of data science platforms and model deployment pipelines to scale AI/ML engines in a cloud environment.
- Independently delivers results creating value for the CNA brand customers and key internal stakeholders. Works with external (and offshore) resources as required.
- Delivers well-styled well-tested and maintainable code in Python R or Java.
- Actively adheres to established quality and reliability standards and ensures team adheres to the same quality and standards working in an Agile development environment.
- Cultivates innovation by proactively proposing new ideas to deliver business value more effectively.
- Researches and leads the identification and implementation of 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
- Expert knowledge of rapidly deploying AI/ML solutions to production in a DevOps environment. Strong expertise in building machine learning platforms and data pipelines at scale.
- Expert level 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).
- Excellent interpersonal and communication skills. Ability to describe the logic and implications of a complex model to non-technical audiences. Ability to work effectively with peers and team members in a highly matrixed environment.
- 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.
- 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 7+ year’s work experience in Artificial Intelligence or Machine Learning engineering.
- Experience in machine learning deep learning information retrieval natural language processing or data mining preferred.
- Experience using Agile methods 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. Job Information Systems Primary LocationUnited States-Illinois-Chicago Organization Technology
Job Posting Jan 20, 2021 Unposting Date Ongoing