Job Title

Senior Generative AI Data ScientistatAtos Location: Monterrey or Mexico City (occasional office use) Employment type: Full-time About Atos GroupAtos Group is a global leader in digital transformation with c. 70,000 employees and annual revenue of c. €10 billion, operating in 67 countries under two brands — Atos for services and Eviden for products.European number one in cybersecurity, cloud, and high-performance computing, Atos is committed to a secure and decarbonized future and provides tailored AI‑powered, end‑to‑end solutions for all industries.Atos is a SE (Societas Europaea) and listed on Euronext Paris.The purpose of Atos is to help design the future of the information space, supporting the development of knowledge, education and research in a multicultural approach and contributing to scientific and technological excellence.Across the world, the Group enables its customers, employees, and members of societies to live, work, and develop sustainably, in a safe and secure information space. Key ResponsibilitiesDesign, implement, and optimize solutions based on traditional machine learning and generative AI with a strong emphasis on integrating cloud technologies. Utilize cloud services and platforms to design, develop, and deploy agentic AI solutions that seamlessly integrate with these technologies. Knowledge of agnostic frameworks such as LangGraph is required. Utilize best practices in designing prompts based on business cases and optimize context to boost accuracy of pre-trained models. Collaborate with data engineers to ensure high-quality data preprocessing and feature engineering. Develop and implement robust evaluation frameworks to assess the quality and effectiveness of generative AI models and establish comprehensive monitoring systems. Work closely with cross‑functional teams to seamlessly integrate generative AI solutions into real‑world applications and products. Create detailed documentation for models, methodologies, and best practices. Stay updated with the latest advancements in generative AI, machine learning, Azure, and OpenAI, and contribute to groundbreaking research and development efforts. Collaborate with stakeholders to identify business challenges that generative AI can address and propose innovative solutions accordingly. QualificationsA Master's degree in Computer Science, Machine Learning, or a related field with a strong emphasis on generative AI. In-depth knowledge of advanced analytics and data science; proven experience in architecting, developing, deploying Agentic AI solutions, and wrapping solutions within an API. Strong programming skills in languages such as Python. Strong knowledge of traditional machine learning including natural language processing (NLP), deep learning, and statistical modeling. Working knowledge of infrastructure engineering and IaC (e.g., Terraform). Excellent problem‑solving skills and the ability to think creatively and strategically to overcome technical challenges within cloud ecosystems. 3+ years of experience at a client‑facing tech role; strong communication and collaboration skills to work effectively in a cross‑functional team and effectively communicate with technical teams. A track record of successful projects and contributions to the field of generative AI. Job DetailsSeniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Computer and Network Security; IT Services and IT Consulting#J-18808-Ljbffr