**Experienced Full Stack Generative AI Data Scientist – Web & Cloud Application Development**

Join arenaflex, a leading innovator in the realm of artificial intelligence, as we seek a highly skilled and experienced Generative AI Data Scientist to join our team. As a key member of our Worldwide Specialist Solutions Architecture team, you will play a pivotal role in assisting clients in designing answers that leverage our cutting-edge Generative AI offerings. With a strong background in natural language processing, multimodal, and image generation, you will be responsible for creating prototypes, proof-of-concepts, and discovering new solutions that drive innovation and adoption of Amazon Web Services for ML/AI platforms. **About arenaflex** arenaflex is a global leader in the field of artificial intelligence, with a mission to empower businesses and individuals to harness the power of AI to drive growth, innovation, and transformation. With a strong focus on innovation, customer satisfaction, and employee development, we offer a dynamic and supportive work environment that fosters collaboration, creativity, and continuous learning. **Job Responsibilities** As a Generative AI Data Scientist at arenaflex, you will be responsible for: * Customer Advisor: Implement and install the latest state-of-the-art system learning algorithms under Gen AI, building prototypes, and proof-of-concepts, and discovering new solutions that meet the evolving needs of our clients. * Thought Leadership: Evangelize AWS GenAI offerings and share best practices through various channels, including AWS blogs, white papers, reference architectures, and public-speaking events such as AWS Summit and AWS re: Invent. * Partner with Specialist Architects, Sales, Business Development, and the AI/ML Service groups to boost client adoption and provide guidance on their client engagements. * Act as a technical liaison between clients and the AWS SageMaker services groups to provide client-driven product development feedback. * Develop and maintain an AWS internal network of ML-associated challenges to be counted as professionals worldwide. * Create area enablement materials for the wider SA population, to assist them in understanding how to combine Amazon Web Services GenAI solutions into client architectures. **Key Skills and Qualifications** * 2+ years of experience as a data scientist * 3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) * 3+ years of experience with system knowledge/statistical modeling statistics evaluation tools and techniques, and parameters that affect their performance * Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science * 2+ years of experience studying and applying big language and generative AI models * Strong background in Natural Language Processing, including experience with text representation, language modeling, sequence-to-sequence architectures, and semantic understanding * 3+ years of experience in technical architecture, design, deployment, and operational level expertise **Preferred Qualifications** * Active participation in the open-source network, including HuggingFace, StableDiffusion, etc. * Large models pre-train/fine-tuning experience, familiar with distributed training * Customer-facing abilities to represent AWS properly in the client's surroundings and drive discussions with senior employees concerning trade-offs, best practices, and risk mitigation * Demonstrated ability to think strategically about business, product, and technical challenges in an organization's environment * Track record of concept management and innovation around Machine Learning * Experience with LangChain, LLAMAIndex, Foundation version tuning, Data Augmentation, and Performance Evaluation frameworks * Led a cloud initiative as an AWS client or consulting with a client of their own IT transformation **Benefits** As an arenaflex employee, you will enjoy a comprehensive benefits package that includes: * Scientific plan options, including a health savings account (with employee and company contributions), and multiple network vendors for the best care in your area * Certain plans provide additional, personalized support for cancer, diabetes, physical therapy, fertility treatment, and family-building services * Employee Assistance Program, providing mental health support at no cost to you * Dental and vision plans, and a flexible spending account for health and structured care * 401(k) plan, with a company match, offering a range of investment options to help you achieve your goals * Company-paid basic life and accidental death and dismemberment insurance * Company-paid short-term and long-term disability insurance * Paid maternity and parental leave options for parents before and after the birth or adoption of a child * Paid time off, in addition to company-paid holidays * Employee discount **How to Apply** If you are a highly motivated and experienced Generative AI Data Scientist looking for a challenging and rewarding role, please apply through our website. 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