Lead AI Technologist

Calamos Recruiting • Chicago, IL

1d • $140,000

About The Position

Calamos Advisors LLC has an opening for Lead AI Technologist (formerly Data Scientist) in Chicago, Illinois. Lead the development, management, and execution of a firm-wide AI adoption roadmap in conjunction with IT and the AI Advisory Council. Partner with IT to build and maintain a portfolio of AI-powered tools focusing on Operational Efficiency improvements enterprise-wide. Act as a technical expert in AI by understanding, developing, and experimenting with neural networks architectures, fine-tuning Large Language Models (LLMs), and working closely with AI vendors to ensure the firm is using AI responsibly and safely. Assist in the development of AI education and training materials, as well as conduct large group and one-on-one training sessions for associates focused primarily on prompt engineering. Research, develop, and deploy traditional supervised and unsupervised machine learning algorithms as solutions for client retention, opportunity targeting, and general client behavioral modeling. Serve as a conduit between Data Science and the Quantitative Research group to assist with projects and tasks related to machine learning for financial and risk modeling. Perform general support for Data Science team through statistical analysis and modeling, data wrangling, etc. as required.

Requirements

• Position requires a Master’s degree in Data Science, Industrial Engineering, Econometrics, Math, Physics, or related and 3 years of related work experience.
• Must also have work or academic experience in: Large Language Models (LLMs), Retrieval Augmented Generation (RAG) pipelines, vector databases, indexing methodologies, transfer learning, fine-tuning, and Prompt-Engineering
• Explaining AI-related topics to senior executives and other non-technical associates in group and one-on-one settings
• Developing and deploying traditional machine learning models for uses specific to the financial services industry such as quant/risk modeling
• Performing statistical analysis and developing machine learning modeling using customer data and financial industry vendor data or the purposes of sales forecasting, client retention, and other distribution related objectives
• Performing a variety of foundational data science subjects including statistical analysis and modeling, data wrangling and cleaning, and data visualization using Python or PowerBI
• Python, SQL, and Spark in Databricks.

Responsibilities

• Lead the development, management, and execution of a firm-wide AI adoption roadmap in conjunction with IT and the AI Advisory Council.
• Partner with IT to build and maintain a portfolio of AI-powered tools focusing on Operational Efficiency improvements enterprise-wide.
• Act as a technical expert in AI by understanding, developing, and experimenting with neural networks architectures, fine-tuning Large Language Models (LLMs), and working closely with AI vendors to ensure the firm is using AI responsibly and safely.
• Assist in the development of AI education and training materials, as well as conduct large group and one-on-one training sessions for associates focused primarily on prompt engineering.
• Research, develop, and deploy traditional supervised and unsupervised machine learning algorithms as solutions for client retention, opportunity targeting, and general client behavioral modeling.
• Serve as a conduit between Data Science and the Quantitative Research group to assist with projects and tasks related to machine learning for financial and risk modeling.
• Perform general support for Data Science team through statistical analysis and modeling, data wrangling, etc. as required.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees