To develop proprietary ML and AI solutions by leveraging state-of-the-art tools and frameworks, solving complex business challenges, and working extensively with cloud platforms and data management tools to build and deploy scalable AI models and solutions. Making an Impact – Your Key Responsibilities, Accountabilities, Ways of Working : • Develop and Deploy ML and AI Solutions: Design and implement advanced machine learning models, including deep learning frameworks like TensorFlow and PyTorch, to solve complex business problems. • Manage Large Datasets: Efficiently handle large datasets, including data generation, augmentation, and preparation, using SQL, NoSQL, and other database technologies. • Advance Natural Language Processing (NLP): Apply NLP techniques such as tokenization, text classification, and sentiment analysis for tasks involving text generation and processing. • Optimize Model Performance: Fine-tune models by adjusting hyperparameters and employing optimization techniques to enhance performance and accuracy. • Leverage Cloud Computing: Deploy and scale models Snowflake and Azure. • Prompt Engineering: Develop effective prompts for LLMs to maximize the performance of Open AI, Llama 3.1, and others. • Integrate AI Functionalities: Build AI-powered solutions by making API requests and integrating AI functionalities into applications. • Drive Innovation: Pilot and scale new applications, including predictive modeling and advanced generative AI techniques. • Communicate Insights: Translate complex technical concepts into actionable insights for non-technical stakeholders. • Foster a Data-Driven Culture: Promote a data-driven culture through training, mentorship, and advocacy across the organization. • Stay Current with Industry Trends: Keep up with the latest advancements in AI, machine learning, and data science to drive continuous innovation. Your Typical Day and Other Key Details • Collaborate with the Gen AI and data science team to design and implement machine learning models. • Manage and prepare large datasets for analysis. • Apply NLP techniques to various tasks. • Optimize model performance through hyperparameter tuning and other techniques. • Deploy and scale models on cloud platforms like Snowflake and Azure. • Develop and test prompts for large language models. • Integrate AI functionalities into applications via API requests. • Communicate insights and findings to non-technical stakeholders. • Stay updated on industry trends and advancements in AI and data science. Qualifications Required Experience & Skills • A bachelor’s degree in computer science, data science or similar discipline is required. A master’s degree is strongly preferred. • Experience: 7 years in analytics and data science. • Expertise with Machine Learning and Deep Learning. • Expertise with PyTorch, Keras and Tensorflow frameworks • NLP Skills: Proven experience with natural language processing techniques such as tokenization, text classification, and sentiment analysis. • Model Optimization: Expertise in model tuning, hyperparameter adjustment, and performance optimization. • Cloud Experience: Experience with AWS, Azure, or Google Cloud for deploying and scaling models. • API Integration: Strong skills in making API requests and integrating AI/ML functionalities into various applications. • Education: Master’s in Data Science, Computer Science, Statistics, Mathematics, or a related field. • Nice to Have • Prompt Engineering Skills: Experience crafting effective prompts for large language models (LLMs). • Experience with Generative AI Technologies: Familiarity with tools like Open AI, Llama, Mistral, and other LLMs. • Advanced Analytics Strategy: Proven ability to develop and execute data science and AI strategies that align with business objectives. ManpowerGroup is proud to be an equal opportunity affirmative action workplace. We celebrate diversity and are committed to providing an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, citizenship, marital status, pregnancy (including childbirth, lactation and related medical conditions), age, gender, gender identity or expression, sexual orientation, protected veteran status, political ideology, ancestry, the presence of any physical, sensory, or mental disabilities, or other legally protected status. A strong commitment is made by each employee and is necessary to ensure equal employment opportunity for all. ManpowerGroup is an inclusive workplace that will recruit, hire, train, and promote persons of all job titles, and ensure all other personnel actions are administered without regard to non-merit-based characteristics of individuals. Reasonable accommodation during the interview process can be provided. Contact talentacquisition@manpowergroup.com for assistance. **Job:** _Other_ **Organization:** _ManpowerGroup_ **Title:** _Sr. Data Scientist_ **Location:** _United States_ **Requisition ID:** _0032825_