Senior AI & ML Engineer

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) solutions for financial services and insurance. The role will be responsible for developing data into usable information to create automated analytics solutions.



JOB DESCRIPTION :



Essential Duties and Responsibilities :

• Performs a combination of duties in accordance with departmental guidelines:
• Lead solution design and build AI solutions to accelerate data migration from legacy to the cloud.
• Collaborates with engineers and driver the adoption of AI development tools such as Claude code
• Productionizes and operationalizes AI solutions and advanced data analysis techniques.
• Designs and builds reusable pipelines to scale AI/ML solutions in a cloud environment.
• Delivers well-styled, well-tested, and maintainable code in BQ, Python.
• 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.

• Expertise in data engineering and ETL migration from legacy to modern platforms
• Expertise in building machine learning platforms and data pipelines at scale.
• Strong experience rapidly deploying AI/ML solutions to production in a Dev Ops environment.
• Strong coding fluency in Python. Experience with Big Query, Claude Code, RAG, LLM’s, ADK, Prompting is expected. 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 SQL and 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.

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