Senior NLP/LLM/LLMOps Data Scientist

Job description

Think Forward! Our goal is to help people advance in life and business. We are a well-established brand with strong financials, global reach, and omni-channel strategies. If you value innovation, agile principles balanced with compliance and quality, reliable service, and a practical work approach, this is the place for you. ING Analytics is a new unit 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, as well as external partnerships. About the Role As a NLP/LLM/LLMOps Data Scientist, you will be joining the global ING Analytics organization and will partner with Machine Learning (ML) Engineers and Customer Journey Experts to design and implement leading-edge conversational AI products, such as agent assists and Retrieval Augmented Generation systems using LLMs. As an NLP/LLM/LLMOps Data Scientist, you understand business needs, perform data preprocessing and analysis, and build machine learning models and/or design and implement NLP models using managed LLM services for speech and text data to improve our platform and ING’s KYC agents’ efficiencies globally. What You’ll Do Design and implementation of solutions using Generative AI and LLM technologies Developing production level NLP models Working with ML Engineers to productionize your developed NLP models Using the cutting-edge NLP and (Gen)AI frameworks and technologies such as Large Language Models and Generative AI Following best practices in developing ML code and ML software tests Making design and technical decisions for (Gen)AI projects at ING Analytics. Supporting local teams in several countries and their projects. Participating in design, analysis, and interpretation of business hypotheses and exploring datasets. Recommending ideas to the business based on data. 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 data analytics capability within the team. What You Bring: Degree in Computer Science, 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 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 (but Not Required) Experience with Google Cloud Platform Experience with applying NLP on banking and/or KYC domains Knowledge of DevOps practices including Git and CI/CD Experience with CI/CD for Machine Learning pipeline (CD4ML). What we offer at ING Hubs Turkiye At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding. Here’s what you can expect when you join our organization: Be Yourself, Be an ING'er Welcome Leave: Enjoy 14 days of welcome leave, even in your first year! Career Opportunities: Self-driven career paths to navigate your journey. Personal Growth: Challenging work with endless opportunities. Dynamic Environment: Informal, vibrant, and innovative culture. Innovation Culture: Explore and apply PACE methodology. Global Exposure: Work on global projects. Health Care: Comprehensive health insurance for you and your family. Private Pension Plan: Secure your future. Meal Card, Transportation Allowance, MultiSport Membership, English Development Support About ING With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Then there is no better place to invest your talents than at ING. Join us. Apply today. About ING Hubs and ING Hubs TR ING Hubs contribute to ING’s global digitalization and efficiency strategy by delivering scalable expertise in software development, data management, and operations. Present in multiple countries, ING Hubs employ over 13,000 professionals worldwide. ING Hubs Türkiye focuses on Retail Analytics and Tech , bringing international capabilities to our Istanbul-based hub.