FA - Finance
Estimated Travel Percentage (%): No Travel
Relocation Provided: Yes
AIG Europe (Services) Limited
TheInvestments AI team at AIG develops AI-first products (apps and services that use machine learning to inform and assist their users) for boththeinsurance and investment arms of AIG. This ismainly achievedthrough:Incubation of disruptive innovation (via scientists, engineers,and designers working together)AI, ML, and NLP R&D (incl. publication in topconferences and journals) Provision- of machine-learning advisory and consulting to AIG's global businesses. As a critical role in Investments AI's success, we are looking to hireNLP Engineersto join our team and contribute to the developmentof disruptive apps and products - partof aseries of exciting new projects in AIG's global Investments AI team,solving complex business problems.This is an exciting opportunity for those who want to enjoy develop and serve state-of-the-art R&D through ambitious engineering, and growin the field of "AI-first" software and product development.
Responsibilities and Performance Objectives
Focusing on the engineering side of NLP technology, take ownership of a significant part of developing NLP components, applications, platforms, and services throughout the entire life cycle "from lab to production".
Partner with NLP scientists to push theboundaries on the performance, scalability, and production use of the latest NLP and wider AI technologies applied tobig problems within insurance and asset management.
Contribute to peer review processes to ensure solid best practices, design principles, and optimised methodologies pertaining to software engineering and AI development.
Review, direct, guide,andinspire more junior engineers in theInvestments AI Team (especiallyapplicable tomoresenior candidates).
Both senior candidates (with years of experienceand leadership) and junior candidates are welcome to apply; we have and will offer positions appropriate to expertise and level of experience.
The minimum required skills include:
Self-motivated and creative - we are building from groundup, not tweaking legacy.
Solid understanding of algorithms, data structures, processing requirements, and optimisation, with the ability to formalise and prove them mathematically.
An advanced degree in a numericaldiscipline(e.g.Computer Science, Machine Learning, Engineering,Mathematics,Physics, or Bioinformatics).
Demonstrable experience in engineering for scale and reliability using cloud platforms (e.g. Amazon Web Services) towards robust, flexible, extendible, scalable, low-latency, high-throughput text processing pipelines, components, and architectures to be used in demanding long-term, SLA-ed production settings.
Demonstrable understanding of how NLP technologies relate to and interact with end-to-end product development concerns.
Practical experience with NLP algorithms, methods, and tools inmultiplecore, fundamental NLP and text analytics tasks,application areas, and topicssuch astextclassification,topicclassification, topic detection, and topic modelling; information extraction;Named Entityrecognition, entity tagging, and entity resolution;Question-Answering(QA), dialog systems,dialog modelling, dialog generation, and chatbots;reading comprehension; inference;sentiment analysis and emotion analysis; event detection;language modelling; text summarization; semantic role labelling and semantic parsing; information retrieval; word sense disambiguation; pronoun, anaphora, and coreference resolution; distributed representations and vector semantics; and compositional methods.
Deep familiarity with existing Open Source NLPframeworks,libraries, utilities, tools, and related resources (e.g.StanfordCoreNLP,spaCy,fastText,AllenNLP,NLP Architect,PyTorch-NLP,Gensim, pymagnitude, word2vec,BERT, Elmo, and GloVe).
Demonstrable ability to use and extend existing deep learning andmachine learning libraries and frameworks (e.g.PyTorch,Keras, and TensorFlow).
Strong Python coding skills plus experience in a typed language (e.g. C++, Java,and Scala).
Familiarity with build automation, and continuous integration and delivery tools, processes, and best practices.
Familiarity with QA (quality assurance) processes and best practices.
Excellent team player; ability totranslatecomplex technicaland non-technicalconceptsand evolving requirementsacrossdiversetechnical and non-technicalaudiencesat multiple levels;excellent oral and written communication skills.
The roles are based in our London office paying a competitive salary, closing date for applications is 24th July.
It has been and will continue to be the policy of American International Group, Inc., its subsidiaries and affiliates to be an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.
At AIG, we believe that diversity and inclusion are critical to our future and our mission - creating a foundation for a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives.