TalentAQ

TalentAQ

AI / ML / Data Science

Research and DevelopmentFull Time

Required Skills
3 skills

AI
ML
Data Science

Job Description

<h3>Overview</h3><p>We are looking for a passionate and skilled AI/ML/Data Science professional to join our innovative team. As a fresher, you will have the opportunity to work on cutting-edge projects, applying your knowledge to solve real-world problems. This role offers a unique chance to learn from experienced professionals and contribute to the development of advanced AI and machine learning solutions.</p><h3>Key Responsibilities</h3><ul><li>Develop and implement machine learning models and algorithms.</li><li>Analyze large datasets to identify trends and insights.</li><li>Collaborate with cross-functional teams to define project requirements.</li><li>Evaluate and improve the performance of AI models.</li><li>Stay current with the latest advancements in AI, ML, and data science.</li></ul><h3>Required Skills</h3><ul><li>Strong foundation in machine learning and statistical modeling.</li><li>Proficiency in Python and related libraries (e.g., scikit-learn, TensorFlow).</li><li>Experience with data visualization tools.</li><li>Excellent problem-solving and analytical skills.</li></ul>

Overview

We are looking for a passionate and skilled AI/ML/Data Science professional to join our innovative team. As a fresher, you will have the opportunity to work on cutting-edge projects, applying your knowledge to solve real-world problems. This role offers a unique chance to learn from experienced professionals and contribute to the development of advanced AI and machine learning solutions.

Key Responsibilities

  • Develop and implement machine learning models and algorithms.
  • Analyze large datasets to identify trends and insights.
  • Collaborate with cross-functional teams to define project requirements.
  • Evaluate and improve the performance of AI models.
  • Stay current with the latest advancements in AI, ML, and data science.

Required Skills

  • Strong foundation in machine learning and statistical modeling.
  • Proficiency in Python and related libraries (e.g., scikit-learn, TensorFlow).
  • Experience with data visualization tools.
  • Excellent problem-solving and analytical skills.

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