Senior Data Scientist Engineer

Posted 3 Days Ago
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Mexico City, Cuauhtémoc, Mexico City
In-Office
Senior level
Information Technology • Software • Web3
The Role
The role involves engineering and deploying machine learning and AI solutions, optimizing data models, and collaborating with teams to drive business insights.
Summary Generated by Built In

Santex is a US-based global company founded in 1999, with 25 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.

Job Description

We are looking for a Senior Data Science Engineer to join our analytics team. The ideal candidate will possess a unique blend of strong analytical skills, expertise in data science, and robust engineering capabilities to design, build, and deploy production-ready machine learning and AI solutions at scale. This role is critical for transforming data insights into tangible business value through engineering excellence.

Responsibilities
  • Engineer, deploy, and maintain robust ML/AI models and data pipelines in production environments.
  • Develop, implement, and optimize data models and machine learning algorithms.
  • Apply MLOps practices, including CI/CD, versioning, monitoring, and infrastructure-as-code, for model deployment.
  • Analyze large datasets, identify key trends, and extract insights to drive business decisions.
  • Collaborate closely with Data Scientists and Software Engineers to transition models from prototypes to high-performance services.
  • Communicate technical findings, model performance, and data insights to technical and non-technical stakeholders.
  • Stay updated with the latest AI/ML engineering tools, technologies, and methodologies.
Requirements
  • Master’s degree in Data Science, Computer Science, Engineering, or a related quantitative field (o experiencia laboral equivalente).
  • 5+ years of experience in data science, machine learning, or data/ML engineering roles.
  • Expert proficiency in programming languages such as Python (incluyendo librerías de ML/DS).
  • Strong hands-on experience building and deploying scalable ML models and data pipelines in production.
  • Deep understanding of machine learning algorithms, statistical modeling, and AI concepts.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure), particularly their ML/Data services.
  • Advanced English: Excellent verbal and written communication skills in English.
Desirable
  • Experience with Big Data technologies (e.g., Spark, Hadoop, Kafka).
  • Knowledge of MLOps tools and frameworks (e.g., Kubeflow, MLflow, Airflow).
  • Proficiency in software engineering best practices, including code review and Git workflows.
  • Experience designing and consuming RESTful APIs for model serving.

Required Location:

  • Mexico City

Top Skills

Airflow
AWS
Azure
GCP
Hadoop
Kafka
Kubeflow
Mlflow
Python
Spark
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The Company
Carlsbad, , California
533 Employees
Year Founded: 1999

What We Do

We are a B-certified, US-based global software services company with over 20 years of experience in creating and executing innovative business solutions for leading brands around the world.

Our goal is to transform reality by integrating skills and experience to empower society through technology.

Founded in 1999 in San Diego, California, we have multicultural teams in 16 countries and +100 cities around the world.

Our corporate culture is what really makes us special: Santex is a people-focused organization and every decision we make is supported by our four core values: Courage, Passion, Trust, and Participation

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