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Senior Data ScientistProdigious Worldwide • United States
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Senior Data Scientist

Prodigious Worldwide
  • US
    United States
  • US
    United States
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À propos

Senior Data Scientist
Job Description Publicis Re:Sources is the backbone of Publicis Groupe, the world's most valuable agency group. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients. Formed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 6,200+ employees globally. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. Learn more about Publicis Re:Sources and the Publicis Groupe agencies we support at http://www.publicisresources.com. The Publicis Re:Sources Guiding Principles define who we are and what we stand for. They reflect the mindset and behaviors that shape how we work, how we support one another, and how we drive progress together. People First, Driving Success Together Problem Solving Mindset Respect Each Other Partner and Collaborate as One Team Commit to Quality and Standards Innovate and Embrace the Future Overview * Visa sponsorship is not available for this role including H1B, OPT EAD etc. * We are looking for a Senior Data Scientist with deep expertise in Generative AI and advanced machine learning techniques to join our AI innovation team. This role will focus on designing, developing, and deploying generative models that power next-generation AI solutions for our organization. Responsibilities Lead the development and optimization of Generative AI models (LLMs, diffusion models, transformers) for text, image, and multimodal applications. Design and implement end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment. Collaborate with product and engineering teams to integrate generative models into scalable applications. Conduct research on emerging Gen AI techniques and apply them to business use cases. Fine-tune pre-trained models and develop custom architectures for domain-specific tasks. Ensure compliance with AI ethics, bias mitigation, and data privacy standards. Mentor junior data scientists and contribute to best practices in model development and MLOps. Qualifications Bachelor's in Computer Science, Data Science, AI/ML, or related field. 7+ years of experience in Data Science, with at least 2+ years in Generative AI. Strong proficiency in Python, TensorFlow, PyTorch, and ML frameworks. Hands-on experience with LLMs (GPT, BERT, etc.), diffusion models, and transformer architectures. Expertise in NLP, computer vision, and multimodal AI. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools. Strong understanding of data ethics, bias detection, and responsible AI principles. Preferred Experience with prompt engineering, fine-tuning large models, and vector databases. Knowledge of retrieval-augmented generation (RAG) and agentic AI frameworks such as Langchain, Langgraph, Langfuse. Publications or contributions in AI research communities. Additional information All your information will be kept confidential according to EEO guidelines.
  • United States

Compétences linguistiques

  • English
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