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<ul><ul>
<li>Design, prototype, and implement ML models for financial applications, including predictive analytics, risk modeling, and trading algorithms.</li>
<li>Identify, collect, clean, and preprocess structured and unstructured financial data from multiple sources, including web data extraction.</li>
<li>Build and optimize training pipelines for experimentation and production deployment. Work with engineers to deploy and scale ML models in real-world environments.</li>
<li>Fine-tune and optimize foundational AI models, including LLMs, RAG, and agent-based applications to enhance decision-making and automation.</li>
<li>Work closely with cross-functional teams, including software engineers, data scientists, and business stakeholders, to translate business needs into effective ML solutions.</li>
<li>Define the data science roadmap and establish best practices for model development, versioning, and deployment. Stay updated on industry trends and emerging technologies.</li>
</ul>
</ul>


This job is for an Associate Data Scientist focused on ML models for finance. You might like this job because it offers a hybrid work setup and the chance to enhance decision-making with AI.

Data Science

Machine Learning

PyTorch (Machine Learning Library)

TensorFlow

Git (Version Control System)

CI/CD




-Design, prototype, and implement ML models for financial applications, including predictive analytics, risk modeling, and trading algorithms.


-Identify, collect, clean, and preprocess structured and unstructured financial data from multiple sources, including web data extraction.


-Build and optimize training pipelines for experimentation and production deployment. Work with engineers to deploy and scale ML models in real-world environments.


-Fine-tune and optimize foundation...

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