<ul>
<li>Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines </li>
</ul>

<ul>
<li>Utilize LangChain / LlamaIndex for advanced language processing tasks. Perform fine-tuning of models and work with Parameter-Efficient Fine-Tuning (PEFT), RAG, and Agentic Frameworks </li>
</ul>

<ul>
<li>Collaborate with the MLOps team to ensure smooth deployment and maintenance of models </li>
</ul>

<ul>
<li>Develop and lead presentations and consultations to existing and prospective constituents on analytics opportunities, results, and solutions </li>
</ul>

<ul>
<li>We are looking for candidates with a strong background in data science, computer science, or related field. </li>
</ul>

<ul>
<li>You should have 7+ years of hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, RAG, and NLP. </li>
</ul>
 
<ul>
<li>Additional requirements include proficiency in tokenization and embeddings, as well as experience creating models, improving model training and tuning, and deploying Large Language Model architectures based on LLaMA, BERT, or Transformer-based models. </li>
</ul>

<ul>
<li>Candidates should also have hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch or similar statistical tools. Experience working with complex object-oriented architecture coding solutions is also desirable. </li>
</ul>

<ul>
<li>Familiarity with data platforms and applications such as Azure ML, Databricks ML, AWS Sage maker and experience contributing to GitHub and open-source initiatives is a plus. </li>
</ul>

Data Scientist in New Delhi (UID-11211)

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