Applied AI/ML Senior Associate

Shape the future of software delivery by building applied artificial intelligence solutions that are secure, reliable, and measurable. Join a team that turns advanced methods into production capabilities used by real customers, with strong engineering standards and clear ownership. Bring your expertise in building distributed systems and grow your impact through high-visibility work, deep technical leadership, and cross-team collaboration

As an Applied AI/ML Senior Associate within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems. You will collaborate with various teams to design and develop data science solutions, maintaining a deep understanding of the business problem. Your responsibilities will include data wrangling, data analysis, and modeling. You will advise on optimal solutions and provide insights on challenger models. You will be involved in strategic projects across the firm, making a significant impact at a leading financial services firm. Your role will be pivotal in developing data-centric solutions that enhance the firm's bottom line.

Job responsibilities

• Engaging with stakeholders and understanding business requirements

• Developing AI/ML solutions to address impactful business needs

• Working with other team members to productionize end-to-end AI/ML solutions

• Engaging in research and development of innovative relevant solutions

• Documenting developed AI/ML models to stakeholders

• Coaching 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

Required qualifications, capabilities, and skills

• 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 programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects

• Previous experience in working on Spark, Hive, and SQL

Preferred qualifications, capabilities, and skills

• Financial service background

• PhD/Masters in one of the above disciplines with minimum 6 years of relevant experience