Data Scientist
Job Summary
Job Description
4 skills required
Job Details
Key Responsibilities :
- Design, test, and optimize models utilizing large-scale data systems, ETL processes, and data pipelines
- Explore, clean, and preprocess data to create high-performance, customized models
- Apply algorithmic thinking to develop and deploy data models with a focus on domain-specific analysis.
- Continuously refine models based on performance metrics and feedback from stakeholders
- Contribute to research and development by investigating state-of-the-art machine learning models, including LLMs, transformers, etc.
- Enhance operational efficiency through AI/ML initiatives
Skills, Experience, and Qualifications :
- PhD from a reputed institute with a strong track record of published research
- Experience in deploying models and managing large datasets
- Proficiency in Python, R, and tools like SQL for data manipulation
- Hands on experience with platforms like Databricks
- Knowledge of NLP techniques and experience with implementing LLMs
- Expertise in time series analysis and algorithmic problem-solving
- Experience in transfer learning, hyperparameter tuning, and machine learning theory
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About The Company
We’re visionary innovators who are delivering mission-critical trading and workflow automation software to financial institutions, corporations, central banks, and governments. By combining our passion for automation with a strategic view on the industries we serve, we design solutions that improve decision-making, simplify complex processes, and empower people. Simply put, we help our customers do more, faster and better than before. We believe our investments in research and development are shaping the future of automation and enabling our customers to transform their business. And we embrace the power of community, working with each other and with our customers to succeed through a positive culture of continuous improvement.
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