TalentAQ

TalentAQ

Lead/Senior ML Engineer

EngineeringFull-time5+ yearsRemote

Required Skills
13 skills

Python
softwareengineering
Docker
Git
MLlibraries
pandas
numpy
scikitlearn
PyTorch
CI
CD
monitoring
testing frameworks

Job Description

<p>We are seeking a highly skilled and experienced Lead/Senior Machine Learning Engineer to join our team. In this role, you will be responsible for leading the development and deployment of machine learning models in a production environment.</p><h3>Key Responsibilities:</h3><ul><li>Design, develop, and deploy machine learning models.</li><li>Collaborate with cross-functional teams to identify and implement ML solutions.</li><li>Optimize ML models for performance and scalability.</li><li>Monitor and maintain ML models in production.</li><li>Mentor junior ML engineers.</li></ul><h3>Required Skills:</h3><ul><li>Strong proficiency in Python.</li><li>Experience with Docker and Git.</li><li>Knowledge of ML libraries such as Pandas, NumPy, Scikit-learn, and PyTorch.</li><li>Experience with CI/CD pipelines.</li></ul>

We are seeking a highly skilled and experienced Lead/Senior Machine Learning Engineer to join our team. In this role, you will be responsible for leading the development and deployment of machine learning models in a production environment.

Key Responsibilities:

  • Design, develop, and deploy machine learning models.
  • Collaborate with cross-functional teams to identify and implement ML solutions.
  • Optimize ML models for performance and scalability.
  • Monitor and maintain ML models in production.
  • Mentor junior ML engineers.

Required Skills:

  • Strong proficiency in Python.
  • Experience with Docker and Git.
  • Knowledge of ML libraries such as Pandas, NumPy, Scikit-learn, and PyTorch.
  • Experience with CI/CD pipelines.

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