Middle Data Scientist with NLP/LLM expertise (Data Competency Center) in Sigma Software Group

Company DescriptionJoin us at Sigma Software as a Data Scientist, where you'll lead initiatives in Natural Language Processing (NLP) and Large Language Models (LLMs) within our Data Competency Center. This pivotal role involves driving solution assessment, engaging in pre-sales activities, and shaping architecture design, all while pushing the boundaries of NLP and LLM technologies.PROJECTWe are a team of 160+ professionals. We are very different, but a few things make us a true team: a genuine passion for our work, friendliness, and inexhaustible optimism, no matter what.As a Middle Data Scientist joining BU003 Data Competency Center, you will be pivotal in shaping and driving its endeavors.Job DescriptionCollaborate closely with clients and Team Leads to precisely define technical requirements and expectations, particularly focusing on NLP and LLM technologiesLead the charge in translating complex business issues into clear, actionable NLP and LLM hypotheses and solutionsDevelop and implement cutting-edge NLP techniques and LLM frameworks (e.g., BERT, GPT, RAG) to analyze, generate, and interpret extensive natural language datasetsIntegrate classical machine learning methodologies, including statistical analysis, clustering, classification, and recommendation engines, into NLP solutions to enhance model performance and insightsManage the full lifecycle of NLP and LLM solutions, from data collection and preprocessing to model training, deployment, and maintenanceEnsure seamless deployment of NLP and LLM models into production environments, maintaining scalability and performanceCommunicate complex NLP and LLM insights and model outcomes to stakeholders, effectively bridging technical solutions with business strategiesActively participate in the evaluation of new tools for analytical data engineering or data science QualificationsProfound expertise in NLP and familiarity with LLMs, backed by solid experience in PythonDemonstrated ability to deploy NLP models to address real-world challenges, with a strong foundation in classical ML techniques and various data sourcesProficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) to articulate model outcomes and insights effectivelyA robust portfolio of projects showcasing the application of NLP and classical ML techniques to derive actionable insights from diverse data sourcesContinuous learner, keen on staying updated with the latest in NLP, and LLM advancementsEnglish proficiency: Confident Intermediate level or higher (both written and spoken) Would Be a PlusAWS/Azure general understanding and experience Upper-Intermediate level of EnglishAdditional InformationPERSONAL PROFILEDemonstrated problem-solving and analytical thinking skills, with a proven track record of applying these skills to real-world challenges to identify problems, gather relevant data, and develop creative solutionsContinuous learning mindset, ensuring you stay updated with the latest advancements in deep learning and adapt skills accordingly Show more Show lessJob Level Entry Level Employment Type Full Time Job Responsibilities Engineering and Information Technology Industries Software Development