AI Application Developer
Morgan, Lewis & Bockius LLP, one of the world's leading international law firms with over 4000 lawyers and staff in 30 offices is seeking an AI Developer reporting to the Director of eData Operations. This position can reside in the New York, San Francisco, Houston, Chicago , Washington DC or Philadelphia office and will serve as a machine learning expert, and will assist in growing and directing software development within ML Rex. He/she is responsible for discovering and effectively utilizing insights from data by leveraging practices and platforms, such as, recommender systems, anomaly detection, natural language processing, machine vision, collaborative filtering, clustering, classification, regression, deep learning, image recognition and analysis, and/or statistical modelling. The AI Application Developer stays up-to-date on AI technologies and methodologies, and serves as a legal industry AI subject matter expert. Responsibilities: * Principal point of contact for all ML Rex machine learning systems that are deployable across various projects, including data pipelines, model generation, and training and inference engines. * Provides Quick Proof of Concept (QPOC) project ownership for projects that require deep learning, collaborative filtering, clustering or unsupervised learning, combined with traditional approaches. * Designs and implements AI technology based learning experiences that can be applied to real-world projects. * Develops algorithms and model enhancements involving innovative AI research focus areas within the firm and legal industry. * Writes application codes, develops user interfaces, and develops unit test cases and harnesses. * Collaborates with Operational Management Teams and identified project stakeholders. * Interprets client functional needs to develop and implement AI based solutions. * Provides functional and technical troubleshooting for existing applications and performs fixes/enhancements as needed. * Assists in testing and troubleshooting hardware and applications to ensure integration with product deployments. * Works within project specifications to meet goals and objectives in a timely and accurate manner; raises issues expediently that could impede the project specifications or timelines. * Develops deployment software and application administration software as well as creates deployment and application support documentation. * Tests software and interfaces, supports end-to-end and performance testing, and performs other tasks needed to complete projects.Experience/Qualifications: * A Bachelor's degree in MIS, Computer Science, or related field, from a four-year college or university, * A minimum of 2 years designing, developing, and implementing enterprise artificial intelligence * Expertise in one or more of: Deep Learning, Machine Learning, Natural Language Processing, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence. * Expertise one of the following open-source frameworks: TensorFlow, MXNet, Theano, Keras, Jupyter and Caffe. * Coding expertise in C/C++, Python, Scala, Lua, MATLAB, or other proficient AI language. * Knowledge, experience and/or certifications in low code solutions preferred but not required * Excellent communication skills and the ability to build effective internal and external client relationships. * The ability to work concurrently on projects; and the flexibility and dexterity to rapidly shift focus. * Highly developed organizational and time management skills, and strong attention to detail Qualified candidates must apply online by visiting our website at www.morganlewis.com and selecting "Careers." Morgan Lewis is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment qualified applicants with arrest and conviction records.