About UsARRISE sets the benchmark for service delivery and excellence in the i Gaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world's biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide.Our global team of over 10,000 talented and driven professionals are shaping the future of i Gaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon.At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success.To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed — while embracing every step of the journey.Be part of the future of i Gaming with 10,000 ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here.The RoleWe are seeking an exceptional Data Scientist that with a profound understanding of Large Language Models (LLMs) and a strong background in Automatic Speech Recognition (ASR), with in-depth experience working on various NLP domains such as text summarization, language models, sentiment analysis, named entity recognition, machine translation, question answering, chatbots, speech recognition, and more.Key responsibilitiesDesign, build, and fine-tune large Language Model-based and approaches (e.g., Mixtral, Llama) for natural language understanding and generation tasks.Train, fine-tune, and optimize Automatic Speech Recognition (ASR) models using our private datasets.Develop, train, and evaluate custom NLP models for a variety of applications including text summarization, sentiment analysis, named entity nduct data curation, preprocessing, and feature engineering for NLP datasets.Develop and improve existing pipelines to train, evaluate and deploy ML ntinuously monitor system performance, troubleshoot issues, and implement improvements/llaborate with cross-functional teams to integrate NLP solutions into production environments.Stay updated with the latest trends and advancements in NLP and deep learning.Required Skills and QualificationsBachelor's or Master's degree in Computer Science, Engineering, or a related field.Strong proficiency in Python, with extensive experience in Py Torch and/or Tensor Flow.Familiarity with NLP libraries such as NLTK, Spa Cy, and Hugging Face Transformers.Proven experience in managing and analysing large text and/or audio datasets.Strong understanding of foundational DL algorithms.Experience with unit and integration tests (Pytest) and CICD pipelines.Experience with data versioning, model management, experiment tracking.Familiarity with key evaluation metrics and optimization techniques.Extensive knowledge and hands-on experience in Docker.Excellent problem-solving, analytical, and communication skills.Nice to HaveExtensive experience and demonstrated proficiency in developing Large Language Models (LLMs), with a strong focus on integrating these models into Automatic Speech Recognition (ASR) or Text-to-Speech (TTS) applications.Experience with Prompt Engineering techniques (e.g., few-shot prompting, chain-of-thought reasoning), Retrieval Augmented Generation (RAG), and familiarity with LLM frameworks like Lang Chain, Llama Index, or Haystack.Proven track record in developing ASR or TTS systems, with hands-on experience working with diverse components such as acoustic models, language models, and pronunciation models.Hands-on experience with Vector/Graph Databases and their use in semantic search.Proficiency with Azure services, including ML Studio, Functions, and Blob Storage, or equivalent services from other cloud providers.What we give you in returnWe offer a highly competitive salaryA detailed company training on highest standardsA chance to work in friendly and supportive cultureTremendous growth opportunities in a large fast moving international company