
Data Scientist
2 days ago
What You'll Do :
- Apply advanced statistical analysis, machine learning techniques, and data modeling to unearth actionable insights from large, complex datasets.
- Design, develop, train, and deploy machine learning models, including those for Computer Vision and Large Language Models (LLM), ensuring their robustness and scalability.
- Perform in-depth statistical analysis and create compelling data visualizations to communicate findings and recommendations effectively to stakeholders.
- Work extensively with SQL for data extraction and manipulation, ensuring data integrity and accessibility.
- Utilize Azure and implement MLOps practices to streamline the machine learning lifecycle, from experimentation to production deployment.
- Apply your understanding of Trade Life Cycle, Settlements, Inventory Management, or broader Investment Banking processes to solve real-world business challenges.
- Strategic Support : Provide data-driven recommendations to support strategic decision-making and optimize business operations.
What We're Looking For :
- 5 to 10 years of hands-on experience as a Data Scientist or ML Engineer.
- Strong expertise in Python for data science and machine learning.
- Proven experience with various Machine Learning Algorithms, Model Training, and Deployment.
- Hands-on experience with Computer Vision and/or Large Language Models (LLM).
- Proficient in Statistical Analysis, Data Visualization, and SQL.
- Practical experience with Cloud Platforms (Azure) and implementing MLOps practices.
- Solid understanding of Trade Life Cycle, Settlements, Inventory Management, or Investment
Banking operations.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong ability to communicate complex technical concepts to non-technical stakeholders.
(ref:hirist.tech)-
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