Direct Hire | Financial Services | Hartford, CT or New York, NY | Apply Now –
POSITION SUMMARY
As a member of Enterprise Data & Analytics (ED&A), you’ll be joining a strategic and collaborative team that is passionate about transforming our client’s business and technology capabilities and paving the way for best-in-class technology, data and analytics.
As the Artificial Intelligence Engineer (AI) within the ED&A organization, you will collaborate with leaders, technologists and data and analytic experts across our client’s organization to drive holistic strategic efforts. In this highly visible and newly created role we will look to you to:
KEY RESPONSIBILITIES
- Construct pipelines that provide easy access to data for the entire enterprise, including datasets for supporting GPT and large language models for model training and inferencing, as well as NLP models like BERT and transformers.
- Design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and business intelligence/insights.
- Analyze sources to determine value and recommend data to include in analytical processes.
- Incorporate core data management competencies including data governance, data security and data quality.
- Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.
- Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
- Test data movement, transformation code, and data components.
- Perform other duties as assigned.
KEY EXPERIENCE and QUALIFICATIONS
- Bachelor’s Degree in STEM related field or equivalent
- Six years of related experience
- Design data solutions, including curating datasets for supporting GPT, large language models, and NLP models like BERT and transformers for model training and inferencing
- Experience programming in Python, Java, R, C++, or JavaScript
- Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices.
- The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions.
- Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on.
- Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems.
- Strong verbal and written communication skills with the ability to interact with team members and business partners.
- Leadership – Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.
