Engaging in research and development of innovative relevant solutions.
Coaching and mentoring other AI/ML team members towards both personal and professional success
Collaborating with other teams across the firm to attain the mission and vision of the team and the firm. Engaging with stakeholders and understanding business requirements.
Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without escalation.
Required qualifications, capabilities, and skills
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Practical cloud native experience
Advanced degree in Computer Science, Data Science, Mathematics, or a related field.
Applied experience in data science, machine learning, or related areas.
Strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data.
Experience LLM Orchestration and Agentic AI libraries
Proficiency in using GenAI models (OpenAI or similar) to solve business problems.
Experience in building AI Agents, Agentic frameworks.
Experience in building and managing data lakes and data processing workflows using Databricks.
Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.
Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders.
Strong troubleshooting and problem-solving skills.
Fast learner with the ability to quickly develop Proof of Concepts and advance them to production.
Preferred qualifications, capabilities, and skills
Understanding of AWS component.
Experience integrating AI/ML models into data pipelines is a plus.
Experience with version control (Git) and CI/CD pipelines.
Financial service background
