**Company: ING Bank Personeel BV Job Description Summary: The team ING Analytics is responsible for realizing the vision of ING as a leader in data-driven organization within the banking sector. Roles and responsibilities include working on advanced analytics solutions for Financial Crime domain globally. The focus areas are designing and implementing solutions using Generative AI and LLM technologies. Success in this role requires thinking ahead, enthusiasm for helping others, learning attitude, and pro-active attitude. Qualifications include MSc or PhD in Computer Science or similar domain, with experience in building NLP or Information Retrieval models. Strong programming skills in Python and experience with Deep Learning frameworks are required. Additional qualifications such as experience with Google Cloud Platform, NLP in banking domain, and DevOps practices are a plus. Job Description: The team ING Analytics is responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Excellences around the bank’s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, UX and external partnerships. Roles and responsibilities You will be part of the COO Analytics Tribe. In our tribe, we apply advanced analytics & Gen AI solutions for the Financial Crime domain globally as well as customer centre analytics. Traditional ML models and Gen AI solutions are used to detect, mitigate and to effectively tackle the risk of financial crime for our customers and our society, making us a safer and more compliant bank. Our tribe consists of more than two dozen data scientists, engineers, data analysts… and customer journey experts, working together to deliver innovative solutions in our domain across multiple countries. Specifically, you will help creating innovative and scalable solutions in the areas of Know Your Customer and Customer Due Diligence. You will work collaboratively with a broad group of stakeholders, including global and local KYC units to define and develop the solutions and consequently you will work with technical teams to implement these solutions across the organization. We work in a fun and creative environment, and we’re dedicated to bringing out the best in both our relations and our projects, ranging from traditional machine learning algorithms to detect suspicious behaviors to enhance our processes by applying innovative techniques such as Generative AI and Large Language Models to building solutions across all countries ING operates in. Your focus areas will be: Design and implementation of solutions using Generative AI and LLM technologies Working with our engineering team to productionize your solution Using the cutting-edge frameworks and technologies such as generative AI and Large Language Models Following best practices in developing ML code and ML software tests Keeping pace with the evolution and best practices in the GenAI and NL domain Assisting your model users to understand the data science principles and when needed explaining the model behavior and possible corrective actions. Contributing to strengthening the analytical capability within the team. Actively learn about our domain, reach out to our stakeholders, and tell captivating stories with our data to create a journey that makes our bank and our society safer How to succeed Always thinking a step ahead and never satisfied with the status quo Enthusiasm for helping others to be successful and a talent for taking it on and making it happen You have a learning attitude. Not only to master new technologies and programming languages, but also on the interpersonal level. You are proven to be able to ask and give feedback You embrace challenges in a fast-changing and complex environment You are a naturally collaborative person who listens and invests in others to achieve common goals You have a Pro-active and can-do attitude (self-steering) You take pride in your code and take responsibility for keeping it running in production You combine both thinking of the future and a hands-on, right now attitude You enjoy working in a team, with highly skilled people, having a creative atmosphere where trying out new things is encouraged. MSc or PhD in Computer Science or similar domain, and preferably in Natural Language Processing, Information Retrieval, or Machine Learning. A minimum of 3 years experience in building Natural Language Processing or Information Retrieval pipelines and models Experience with operationalisation of LLMs or Generative AI applications You have an in-depth understanding of algorithms like Conditional Random Fields, Transformers, Recurrent Neural Networks, and Convolutional Neural Network Strong programming skills in Python, experience in delivering production grade code, and reasonable SQL understanding Can build an “end-to-end ML software product” which has NLP/IR component Experience with Deep Learning frameworks like Tensorflow and PyTorch You have excellent oral and written communication skills at the technical and business level Fluent in written and spoken English. Familiarity with Agile Scrum way of working Nice To Have Experience with Google Cloud Platform Experience with applying NLP in banking domain Knowledge of DevOps practices including Git and CI/CD Experience with CI/CD for Machine Learning pipeline (CD4ML). Experience with traditional ML algorithms is a plus
Company:ING Bank Personeel BV
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
