Academic Qualification &amp; Experience

<ul>
<li>8+ years of experience in data science, with at least 3 years in a managerial role.</li>
</ul>

<ul>
<li>Experience working with large-scale systems, distributed computing, and big data technologies.</li>
</ul>

<ul>
<li>Familiarity with ethical AI principles, bias detection, and responsible AI practices.</li>
</ul>

<ul>
<li>Certifications in Azure, Data Science, or MLOps are a</li>
</ul>

Technical Skills/Knowledge

<ul>
<li>Programming Languages: Expert in Python; familiarity with other languages a plus.</li>
</ul>

<ul>
<li>Machine Learning: Supervised/unsupervised learning, model selection, hyperparameter tuning, model interpretability.</li>
</ul>

<ul>
<li>Natural Language Processing (NLP): Tokenization, embeddings, LLMs, sentiment analysis, text summarization, Q&amp;A systems.</li>
</ul>

<ul>
<li>Generative AI: Experience with OpenAI, LLama, Retrieval-Augmented Generation (RAG), fine-tuning, and prompt engineering.</li>
</ul>

<ul>
<li>MLOps &amp; Platforms: Strong experience with Azure ML, Azure AI Foundry, MLflow, Databricks.</li>
</ul>

<ul>
<li>Data Engineering &amp; Storage: SQL, Snowflake, Delta Lake, data wrangling with Pandas/PySpark.</li>
</ul>

<ul>
<li>Web Frameworks: Flask, Streamlit, Django – for deploying data science applications.</li>
</ul>

<ul>
<li>Version Control &amp; CI/CD: Git, GitHub Actions, Azure DevOps, Jenkins (preferred).</li>
</ul>

<ul>
<li>Cloud Platforms: Microsoft Azure; AWS or GCP experience is a plus.</li>
</ul>

Data Science in New Delhi (UID-11551)

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Skills Required for Data Science

Job Description for Data Science

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