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Remote Lead Machine Learning Engineer

at Marathon Talent

Posted 3 months ago

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Description:

  • Lead the design, development, and deployment of ML/DL models into production.
  • Own the end-to-end lifecycle of machine and deep learning systems, including deployment, monitoring, retraining, governance, and reliability.
  • Define standards, tooling, and architectural patterns for data scientists and analysts to ship models effectively.

Requirements:

  • Minimum of five (5) years of experience in machine and deep learning engineering.
  • Strong programming skills in Python/R and SQL, with a focus on Snowflake.
  • Proficiency in ML/DL frameworks (e.g., Tensorflow, PyTorch, Scikit-learn).
  • Experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, AWS).
  • Understanding of cloud platforms (preferably AWS), distributed computing, and version control (GitHub & GitLab).
  • Knowledge of model serving patterns and experience designing feature pipelines.
  • Familiarity with data engineering practices for ETL pipelines and data management.
  • Understanding of fintech products and risk management.

Benefits:

  • Remote work opportunity.
  • Contractor agreement with PTOS.

Job title

Machine Learning Engineer

Job type

Full-time Contract

Experience level

Lead

Required experience

5 years

Salary

-

Degree requirement

No degree required

Skills

TensorFlow SQL Docker AWS GitLab Kubernetes GitHub Machine Learning Deep learning Python R Snowflake Scikit PyTorch

Location requirements

🌍 Latin America Argentina

Benefits

Flexible working hours Paid time off

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