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Jobs in Ciudad Benito Juarez, Mexico
Chief Machine Learning Architect
beBeeDataScience
Mexico
Remote
MXN 1,459,000 - 2,189,000
Today
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Chief Machine Learning Architect
beBeeDataScience
Mexico
Remote
MXN 1,459,000 - 2,189,000
Full time
Today
Be an early applicant
Job summary
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.
Benefits
100% remote work arrangement
Long-term contract opportunity
Qualifications
- 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.
Responsibilities
- 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.
Skills
AWS Sagemaker
Python
MLOPs
SQL
Spark
Docker
Kubernetes
GitHub Actions
Job description
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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.