Sr Data Scientist

Sr Data Scientists

100% remote (Mexico)

Long term contract

Skill to Evaluate

AWS Sagemaker, Python, MLOPs, AWS, SQL, Spark, Docker, Kubernetes, Github Actions, Deep Learning

Experience

7 to 10 Years

Job Description

• Architect and own end-to-end machine learning systems—from data ingestion and feature engineering to scalable training, optimization, deployment, and monitoring on AWS SageMaker.
• Lead technical design for ML platforms and pipelines, selecting the right AWS, open-source, and MLOps tooling to meet performance, cost, and governance requirements.
• Develop advanced models using deep learning and statistical techniques, and optimize them for distributed training, accelerated compute, and real-time or batch inference.
• Build reusable ML components, templates, and CI/CD workflows that improve reproducibility, compliance, and engineering velocity across the organization.
• Operationalize production ML at scale, including multi-model endpoints, model registries, feature stores, experiment tracking, drift detection, and automated retraining.
• Troubleshoot complex model, data, and infrastructure issues, delivering root-cause analysis and long-term fixes for reliability, latency, performance, and cost efficiency.
• Partner with product, data engineering, cloud engineering, and IT/security teams to embed ML solutions into mission-critical business systems with enterprise-grade resilience.
• Establish and enforce ML governance best practices including model documentation, lineage, versioning, auditability, and alignment with internal and regulatory standards.
• Provide technical leadership and mentorship to mid-level and junior ML/DS engineers, reviewing code, guiding architecture choices, and uplifting overall team maturity.
• Evaluate emerging tools, frameworks, and AWS services, advising leadership on how to modernize the ML stack and accelerate high-value use cases.
• Represent ML engineering best practices internally, influencing roadmap decisions, contributing to technical design reviews, and shaping long-term data/AI strategy.