TalentAQ

TalentAQ

Lead/Sr ML Engineer

EngineeringFull-time5+ yearsRemote

Required Skills
13 skills

Python
Docker
Git
MLlibraries
pandas
numpy
scikitlearn
PyTorch
CI
CDpipelines
monitoring
testing frameworks
MLdeployment

Job Description

<p>We are seeking a highly skilled and experienced Lead/Sr Machine Learning Engineer to join our team. In this role, you will be responsible for leading the development, deployment, and monitoring of machine learning models in a production environment. You will work closely with cross-functional teams to deliver end-to-end ML solutions that drive business value.</p><h3>Key Responsibilities:</h3><ul><li>Design, develop, and deploy machine learning models using Python and relevant ML libraries.</li><li>Implement and maintain CI/CD pipelines for automated model deployment and testing.</li><li>Monitor model performance and identify areas for improvement.</li><li>Collaborate with data scientists and engineers to build scalable and robust ML systems.</li><li>Ensure the reliability and security of ML infrastructure.</li></ul><h3>Required Skills:</h3><ul><li>Proficiency in Python and machine learning libraries (e.g., pandas, numpy, scikit-learn, PyTorch).</li><li>Experience with Docker, Git, and CI/CD pipelines.</li><li>Strong understanding of machine learning principles and algorithms.</li><li>Excellent problem-solving and communication skills.</li></ul>

We are seeking a highly skilled and experienced Lead/Sr Machine Learning Engineer to join our team. In this role, you will be responsible for leading the development, deployment, and monitoring of machine learning models in a production environment. You will work closely with cross-functional teams to deliver end-to-end ML solutions that drive business value.

Key Responsibilities:

  • Design, develop, and deploy machine learning models using Python and relevant ML libraries.
  • Implement and maintain CI/CD pipelines for automated model deployment and testing.
  • Monitor model performance and identify areas for improvement.
  • Collaborate with data scientists and engineers to build scalable and robust ML systems.
  • Ensure the reliability and security of ML infrastructure.

Required Skills:

  • Proficiency in Python and machine learning libraries (e.g., pandas, numpy, scikit-learn, PyTorch).
  • Experience with Docker, Git, and CI/CD pipelines.
  • Strong understanding of machine learning principles and algorithms.
  • Excellent problem-solving and communication skills.

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