What will you drive?

<ul>
<li>Lead end-to-end design, development, and deployment of AI/ML models</li>
</ul>

<ul>
<li>Mentor and manage a team of data scientists and machine learning engineers</li>
</ul>

<ul>
<li>Drive innovation in GenAI, NLP, deep learning, and scalable ML systems</li>
</ul>

<ul>
<li>Collaborate with cross-functional teams to define AI strategies and use cases</li>
</ul>

<ul>
<li>Ensure responsible AI practices and compliance with AI ethics</li>
</ul>

<ul>
<li>Present insights to stakeholders and align data science solutions with business goals</li>
</ul>

Who are we looking for?

<ul>
<li>6-10 years of experience in Data Science and AI (mandatory)</li>
</ul>

<ul>
<li>Strong Python skills with experience in libraries like Pandas, NumPy, Matplotlib, Seaborn</li>
</ul>

<ul>
<li>Proficiency in ML frameworks like TensorFlow, PyTorch</li>
</ul>

<ul>
<li>In-depth understanding of machine learning algorithms: Regression, Classification, Clustering, Random Forest, Bagging, Boosting, etc.</li>
</ul>

<ul>
<li>Hands-on experience in developing and deploying models in production</li>
</ul>

<ul>
<li>Familiarity with GenAI, NLP, and large language models</li>
</ul>

<ul>
<li>Solid foundation in Probability, Statistics, and Mathematics</li>
</ul>

<ul>
<li>Proficient in SQL for data extraction and analysis</li>
</ul>

<ul>
<li>Cloud computing experience (AWS, Azure, GCP) is a plus</li>
</ul>

<ul>
<li>Strong leadership, communication, and stakeholder management skills</li>
</ul>

Data Science

What will you drive? Lead end-to-end design, development, and deployment of AI/ML models Mentor and manage a team of data scientists and machine learning engineers Drive innovation in GenAI, NLP, deep learning, and scalable ML systems Collaborate with cross-functional teams to define AI strategies and use cases Ensure responsible AI practices and compliance with AI ethics Present insights to stakeholders and align data science solutions with business goals Who are we looking for? 6-10 years of experience in Data Science and AI (mandatory) Strong Python skills with experience in libraries like Pandas, NumPy, Matplotlib, Seaborn Proficiency in ML frameworks like TensorFlow, PyTorch In-depth understanding of machine learning algorithms: Regression, Classification, Clustering, Random Forest, Bagging, Boosting, etc. Hands-on experience in developing and deploying models in production Familiarity with GenAI, NLP, and large language models Solid foundation in Probability, Statistics, and Mathematics Proficient in SQL for data extraction and analysis Cloud computing experience (AWS, Azure, GCP) is a plus Strong leadership, communication, and stakeholder management skills

Data Science in Gurugram (UID-12442)

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Skills Required for Data Science

Job Description for Data Science

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