We are Legal AI/ML team, within the Corporate Oversight and Governance Technology, we solve challenging and impactful problems across a wide range of Legal functions. By harnessing the power of Natural Language Processing (NLP) and Large Language Models (LLMs), we aim to enhance the efficiency, accuracy, and effectiveness of our legal operations. Our work spans multiple critical areas, including Legal Knowledge Management, Contract Analysis and Management, Litigation Support, Legal Research, E-Discovery, Policy and Procedure Optimization. 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 and work with 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 Experience with legal data and applications is highly desirable. Experience working with engineering teams to operationalize machine learning models. Familiarity with the financial services industry.,
Employement Category:
Employement Type: Full timeIndustry: BFSIRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Associate Artificial Intelligance / Machine
Contact Details:
Company: Chase- CandidateLocation(s): Other Karnataka