Applied AI/ML Lead

• Engages with stakeholders and understanding business requirements,
• Develops AI/ML solutions to address impactful business needs,
• Works with other team members to productionize end-to-end AI/ML solutions,
• Engages in research and development of innovative relevant solutions,
• Coaches other AI/ML team members towards both personal and professional success,
• Collaborates across teams to attain the mission and vision of the team and the firm

Required qualifications, capabilities and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
• Experience in the application of AI/ML to a relevant field.
• Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.
• Strong experience in natural language processing (NLP) and its applications.
• Solid coding level in Python, with experience in leveraging libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others.
• Previous experience in working on Spark, Hive, or SQL.

Preferred Qualifications, capabilities and skills:

• Demonstrated practical experience in application of LLMs for solving business problems.
• Financial service background.
  • PhD in one of the above disciplines.