TalentAQ

TalentAQ

Machine Learning Engineer

EngineeringFull TimeNew york

Required Skills
1 skills

Machine Learning

Job Description

<h3>Opening Section</h3><p>We are seeking a skilled Machine Learning Engineer to develop and deploy machine learning models. You will work on challenging problems, leveraging your expertise in algorithms, data analysis, and software engineering to build innovative solutions.</p><h3>Key Responsibilities</h3><ul><li>Design, develop, and deploy machine learning models.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with cross-functional teams to integrate ML models into applications.</li><li>Stay up-to-date with the latest advancements in machine learning.</li><li>Implement machine learning algorithms and libraries.</li></ul><h3>Required Skills</h3><ul><li>Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch).</li><li>Experience with data analysis and visualization tools.</li><li>Strong understanding of machine learning algorithms and techniques.</li><li>Experience with cloud computing platforms (e.g., AWS, Azure, GCP).</li></ul>

Opening Section

We are seeking a skilled Machine Learning Engineer to develop and deploy machine learning models. You will work on challenging problems, leveraging your expertise in algorithms, data analysis, and software engineering to build innovative solutions.

Key Responsibilities

  • Design, develop, and deploy machine learning models.
  • Evaluate model performance and identify areas for improvement.
  • Collaborate with cross-functional teams to integrate ML models into applications.
  • Stay up-to-date with the latest advancements in machine learning.
  • Implement machine learning algorithms and libraries.

Required Skills

  • Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch).
  • Experience with data analysis and visualization tools.
  • Strong understanding of machine learning algorithms and techniques.
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP).

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