Senior Associate - Applied AI ML

Qualifications

• M.S. degree in Statistics, Engineering, Computer Science, or Mathematics
• 3 years of experience in developing statistical or machine learning models
• 3 years of experience with AI, including reinforcement learning or optimization algorithms
• Proficient in Java or Python programming
• Deep knowledge of data structures, algorithms, machine learning, and statistics

Responsibilities

• As a Senior Associate- Applied AI ML in the Architecture & AI/ML team, you will lead the development and integration of data science, machine learning, and Agentic solutions into our ecosystem of applications
• Your hands-on expertise will unlock new insights and deliver exceptional value to our business partners, while collaborating closely with agile engineering teams across the organization
• Lead and contribute to end-to-end AI/ML projects, interfacing with various stakeholders
• Code, test, and deploy high-quality machine learning models, LLM integrations, and agents
• Optimize and maintain AI/ML models for improved performance and accuracy
• Conduct data analysis and preprocessing for model training
• Manage project prioritization and lead technology meetings with stakeholders
• Participate in code reviews and foster a culture of continuous improvement
• Provide technical guidance and mentorship to engineering team members

Full Description

Join us in transforming data-driven decision-making within our Commercial Real-Estate business. As a Senior Applied AI ML Associate, you'll play a pivotal role in leading and implementing impactful AI/ML solutions that drive exceptional value for our business partners.

As a Senior Associate- Applied AI ML in the Architecture & AI/ML team, you will lead the development and integration of data science, machine learning, and Agentic solutions into our ecosystem of applications. Your hands-on expertise will unlock new insights and deliver exceptional value to our business partners, while collaborating closely with agile engineering teams across the organization.

Job Responsibilities:

• Lead and contribute to end-to-end AI/ML projects, interfacing with various stakeholders.

• Code, test, and deploy high-quality machine learning models, LLM integrations, and agents.

• Optimize and maintain AI/ML models for improved performance and accuracy.

• Conduct data analysis and preprocessing for model training.

• Manage project prioritization and lead technology meetings with stakeholders.

• Participate in code reviews and foster a culture of continuous improvement.

• Provide technical guidance and mentorship to engineering team members.

Required Qualifications, Capabilities, and Skills:

• M.S. degree in Statistics, Engineering, Computer Science, or Mathematics.

• 3 years of experience in developing statistical or machine learning models.

• 3 years of experience with AI, including reinforcement learning or optimization algorithms.

• Proficient in Java or Python programming.

• Deep knowledge of data structures, algorithms, machine learning, and statistics.

Preferred Qualifications, Capabilities, and Skills:

• Experience with Agentic frameworks & workflow tools like LangChain & LangGraph.