Principal Data Scientist

Atos SE; Ciudad de México; Presencial; MXN 1,288,000 - 1,841,000; Jornada completa

Descripción de la vacante

A global digital transformation leader is seeking an experienced Principal Data Scientist in Mexico City. The candidate should have extensive expertise in machine learning and Generative AI, alongside 10+ years of experience in analytics. Responsibilities include developing ML models, maintaining data pipelines, and collaborating effectively across teams to meet client needs. The position offers a dynamic environment focused on innovation and technical excellence.

Formación

• 10+ years of experience in data science and advanced analytics.
• Hands-on experience with MLOps.
• Proficiency in machine learning frameworks.
• Experience with object detection, segmentation, and classification models.

Responsabilidades

• Design, develop, and deploy ML models.
• Build and maintain scalable data pipelines.
• Implement MLOps best practices.
• Collaborate with cross-functional teams to deliver solutions.

Conocimientos

Machine Learning

Generative AI

Statistical Modeling

Python

MLOps

Cross-functional Collaboration

Educación

Master's degree in statistics or related field

Herramientas

TensorFlow

PyTorch

OpenCV

Descripción del empleo

About Atos Group

Atos 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 Group 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. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

Job Description

Principal Data Scientist We are seeking an exceptional Principal Data Scientist having 10+ years of combined experience in Analytics, Science and Gen AI. As a Principal Data Scientist, you will play a pivotal role in shaping the future of our initiatives at the intersection of Gen AI, agents, ML and software engineering. You will work closely with cross-functional teams to design, implement, and optimize solutions using traditional machine learning as well as Gen AI.

Key Responsibilities

• Design, develop, and deploy ML models such as predictive models, time series forecasting models or survival models.
• Build and maintain scalable data pipelines on a hyperscaler (preferably GCP).
• Implement MLOps best practices including CI/CD pipelines, monitoring, training/evaluation and model governance on a hyperscaler (preferably GCP).
• Use Gen AI and Agentic AI to build end-to-end custom solutions and implement them in a hyperscaler (preferably GCP).
• Ensure scalability, security, and cost efficiency of AI/ML workloads.
• Collaborate with cross-functional teams across time zones to achieve the project goal and deliver solutions/products. Work closely and communicate efficiently with the client to understand their needs and meet their expectation on requirements and deliverables.
• Mention junior team members, brainstorm with them to scope and troubleshoot, provide meaningful advice to help address technical barriers.

Qualifications

• A Master's degree in statistics, Computer Science, Machine Learning, or a related field with a strong emphasis on generative AI.
• 8+ years of experience in data science and advanced analytics. Hand‑on experience with MLOps end‑to‑end Proven experience in designing, developing, and deploying generative AI solutions.
• Familiarity with Agentic AI Framework. Proficiency in statistical modeling (i.e. regression, classification) and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong programming skills in languages such as Python. Have experience with building object detection, segmentation and classification models.
• Experience with computer vision and image recognition is a plus, which includes Yolo package, PyTorch, OpenCV, and PIL.
• Experience with transfer learning is a plus.
• Excellent problem‑solving skills and the ability to think creatively and strategically to overcome technical challenges within the Azure and OpenAI ecosystem.
• Strong communication and collaboration skills to work effectively in a cross‑functional team.

Location: Mexico (any state)
Language: English Fluent

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.

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