TalentAQ

TalentAQ

Data/AI/ML Professional

Technology and ITFull Time50 k - 1.1 Lacs

Job Description

<h3>Job Overview</h3><p>We are seeking a talented Data/AI/ML Professional to join our innovative team. As a Data/AI/ML Professional, you will be responsible for developing and implementing data-driven solutions using artificial intelligence and machine learning techniques. Your expertise in data analysis, model building, and algorithm development will be crucial in driving business insights and improving decision-making.</p><h3>Key Responsibilities</h3><ul><li>Collect, clean, and analyze large datasets.</li><li>Develop and implement machine learning models and algorithms.</li><li>Evaluate model performance and optimize for accuracy and efficiency.</li><li>Collaborate with cross-functional teams to identify business opportunities.</li><li>Communicate findings and recommendations to stakeholders.</li></ul><h3>Required Skills</h3><ul><li>Strong knowledge of statistical modeling and machine learning techniques.</li><li>Experience with programming languages such as Python or R.</li><li>Proficiency in data visualization tools (e.g., Tableau, Power BI).</li><li>Familiarity with cloud computing platforms (e.g., AWS, Azure).</li></ul>

Job Overview

We are seeking a talented Data/AI/ML Professional to join our innovative team. As a Data/AI/ML Professional, you will be responsible for developing and implementing data-driven solutions using artificial intelligence and machine learning techniques. Your expertise in data analysis, model building, and algorithm development will be crucial in driving business insights and improving decision-making.

Key Responsibilities

  • Collect, clean, and analyze large datasets.
  • Develop and implement machine learning models and algorithms.
  • Evaluate model performance and optimize for accuracy and efficiency.
  • Collaborate with cross-functional teams to identify business opportunities.
  • Communicate findings and recommendations to stakeholders.

Required Skills

  • Strong knowledge of statistical modeling and machine learning techniques.
  • Experience with programming languages such as Python or R.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with cloud computing platforms (e.g., AWS, Azure).

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