Senior Generative Ai Data Scientist

Atos Se; Xico; Híbrido; MXN 1,275,000 - 1,823,000; Jornada completa

Descripción de la vacante

A leading technology company is seeking a Senior Generative AI Data Scientist to leverage 8+ years of experience in analytics and AI. The role involves developing agentic AI solutions, collaborating across teams, and optimizing cloud technologies. Candidates should have a Master's degree, strong programming skills in Python, and proven experience in deploying AI solutions. Excellent problem-solving abilities and client-facing experience are essential for this role based in Mexico, with occasional office visits.

Formación

• Master's degree in a relevant field focused on generative AI.
• In-depth knowledge of analytics and data science experience.
• 3+ years in a client-facing technical role.

Responsabilidades

• Design, develop, and deploy agentic AI solutions.
• Collaborate with data engineers for high-quality feature engineering.
• Create documentation for models and methodologies.

Conocimientos

Python programming

Cloud services knowledge

Agentic AI development

Problem-solving

Data science expertise

Educación

Master's degree in Computer Science or related field

Herramientas

Azure

Terraform

Descripción del empleo

Senior Generative AI Data Scientist

Location : Monterrey or Mexico City (assisting to the office occasionally)

We are seeking an exceptional Senior Generative AI Data Scientist having 8+ years of combined experience in Analytics, Science and Gen AI.

You will work closely with cross-functional teams to design, implement, and optimize solutions based on traditional machine learning as well as Gen AI that has a strong emphasis on integrating cloud technologies.

Key Responsibilities

• Agentic AI expertise : 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.
• Prompt Engineering : Utilize best practices in designing prompts based on business case. Ability to optimize context and get boost accuracy of pre-trained models.
• Data Preparation and Feature Engineering : Collaborate with data engineers to ensure high-quality data preprocessing and feature engineering.
• Evaluation and Monitoring : Develop and implement robust evaluation frameworks to assess the quality and effectiveness of generative AI models and establish comprehensive monitoring systems.
• Cross-functional Collaboration : Work closely with cross-functional teams to seamlessly integrate generative AI solutions into real-world applications and products.
• Documentation : Create detailed documentation for models, methodologies, and best practices. Lead by example and inspire others through your expertise.
• Research and Innovation : Stay updated with the latest advancements in generative AI, machine learning, Azure, and OpenAI, and contribute to groundbreaking research and development efforts.
• Problem Solving : Collaborate with stakeholders to identify business challenges that generative AI can address and propose innovative solutions accordingly.

Qualifications

• A Master's degree in Computer Science, Machine Learning, or a related field with a strong emphasis on generative AI.
• In-depth knowledge about 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 such as natural language processing (NLP), deep learning and statistical modeling.
• Working knowledge about 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.