Principal Data Scientist at Atos

Ciudad de México, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Generative AI, MLOps, Statistical Modeling, Python, Computer Vision, Image Recognition, Transfer Learning, Collaboration, Problem Solving, Cloud Computing, TensorFlow, PyTorch, OpenCV, CI/CD

Industry

Business Consulting and Services

Description

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.Principal Data Scientist Job Description: 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: Monterrey or Mexico City (hybrid eventually)Languate: 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. Choose your future. Choose Atos.

Responsibilities

The Principal Data Scientist will design, develop, and deploy machine learning models while collaborating with cross-functional teams to implement solutions. They will also ensure the scalability, security, and cost efficiency of AI/ML workloads.