Chief Machine Learning Architect

beBeeDataScience; A distancia; MXN 1,459,000 - 2,189,000; Jornada completa

Descripción de la vacante

A leading data science firm located in Mexico is seeking a Senior Data Science Professional to develop advanced machine learning systems and lead technical designs. This role requires 7-10 years of experience with strong leadership skills. Key responsibilities include designing ML architectures, collaborating with teams for integration, and applying advanced data techniques. This position offers a 100% remote work arrangement and a long-term contract opportunity.

Servicios

100% remote work arrangement

Long-term contract opportunity

Formación

• 7-10 years of experience in senior data science roles.
• Strong leadership skills and ability to represent ML engineering best practices.
• Capacity to evaluate and modernize the ML stack.

Responsabilidades

• Develop advanced machine learning systems including data ingestion, feature engineering, and deployment.
• Design and implement technical architectures for ML platforms.
• Collaborate with cross-functional teams to integrate ML solutions.

Conocimientos

AWS Sagemaker

Python

MLOPs

SQL

Spark

Docker

Kubernetes

GitHub Actions

Descripción del empleo

Senior Data Science Professional

Job Description

• Develop advanced machine learning systems, including data ingestion, feature engineering, training, optimization, and deployment on cloud platforms.
• Design and implement technical architectures for ML platforms and pipelines, selecting the right tools to meet performance, cost, and governance requirements.
• Apply deep learning and statistical techniques to build and optimize models, ensuring scalability and efficiency in real-time or batch inference scenarios.
• Collaborate with cross-functional teams to integrate ML solutions into business systems, ensuring enterprise-grade resilience and reliability.

Required Skills and Qualifications

• Proficiency in AWS Sagemaker, Python, MLOPs, SQL, Spark, Docker, Kubernetes, and GitHub Actions.
• Experience with deep learning frameworks, model registries, feature stores, and experiment tracking.
• Strong understanding of data engineering, cloud engineering, and IT/security principles.
• Ability to lead technical design and mentor junior engineers, promoting team maturity and excellence.

Benefits

• 100% remote work arrangement.
• Long-term contract opportunity.

Others

• 7-10 years of experience in senior data science roles.
• Strong leadership skills and ability to represent ML engineering best practices internally.
• Capacity to evaluate emerging tools and frameworks, advising leadership on modernizing the ML stack and accelerating high-value use cases.