Generative AI Machine Learning Developer

Our client, a leading global financial services company, has approximately 200 million customer accounts and does business in more than 140 countries. They provide consumers, corporations, governments and institutions with financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

10 openings

Hiring Day – TBD

Generative AI Machine Learning Developer

We are seeking an innovative Generative AI Machine Learning Developer to join a brand new team focused on designing, developing and implementing cutting-edge generative AI models and solutions that can be entrenched into prevailing applications or the new application.

Experience that will help you succeed in this role

Develop and fine tune NLP/NLU models, including transformer based models (BERT, GPT etc.,) for a range of language understanding tasks (language generation, sentiment analysis, entity recognition etc.,) Additionally design and implement generative AI models by leveraging LLMs for text generation and understanding.

Preprocess and curate text data, including text cleaning, tokenization and data augmentation to prepare it for training NLP/NLU models

Innovate and implement cutting edge algorithms to improve the performance, accuracy and efficiency of the NLP/NLU models

Assess model performance using relevant NLP metrics and optimize models for real world applications

Stay updated with latest developments in Generative AI specifically on NLP/NLU research and apply new techniques to enhance our solutions

Strong expertise in NLP/NLU with focus on deep learning models and open source LLMs such as Llama 2, Falcon etc.,

Proficiency in programming languages such as Python and experience with NLP libraries/frameworks like spaCy, NLTK, Hugging Face Transformers and Generative AI and LLM frameworks

Familiarity with cloud computing platforms for model training and deployment

Experience with tools like Langchain, Embedchain and Vector Database (Pinecone, FAISS, Milvus, ChromaDB, Vespa etc.,) to enhance data processing and model development workflow as well as rich understanding of vector stores and search algorithms

Exceptional problem solving skills and the ability to work on complex language understanding and Generative AI projects

Experience designing control and sandboxing systems for AI research

Hands on experience with Pytorch, TensorFlow

Direct engineering experience of high performance, large-scale Client systems

Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process

Have experience supporting fast-paced startup engineering teams

Experience maintaining and/or contributing to bug bounty and responsible disclosure programs

A well-known contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs , Client/Ops automation and more.

Preferred Qualifications:

Research publications or contributions in the fields of NLP, NLU and Generative AI

Experience with Conversational AI, Chatbots (Kore.ai, Botpress, Nuance etc.,)

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