
Chief Data Architect
3 days ago
We are seeking a highly skilled machine learning engineer to join our team and optimize our machine learning systems.
This is an exciting opportunity for a talented data scientist to evaluate existing ML processes, perform statistical analysis to resolve data set problems, and enhance the accuracy of our AI software's predictive automation capabilities.
A first-class machine learning engineer will translate expertise into improved predictive model performance.
Key Responsibilities- Collaborate with the manager to determine and refine machine learning objectives.
- Design machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
- Transform data science prototypes and apply appropriate ML algorithms and tools.
- Ensure that algorithms generate accurate user recommendations.
- Solve complex problems with multi-layered data sets, and optimize existing ML libraries and frameworks.
- Develop ML algorithms to analyze huge volumes of historical data to make predictions.
- Stress test, perform statistical analysis, and interpret test results for all market conditions.
- Document machine learning processes.
- Stay up-to-date with developments in machine learning.
- Bachelor's degree in computer science, data science, mathematics, or a related field.
- Master's degree in computational linguistics, data science, data analytics, or similar will be advantageous.
- At least two years' experience as a machine learning engineer.
- Advanced proficiency with Python, Java, and R code.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Superb analytical and problem-solving abilities.
- Great communication and collaboration skills.
- Excellent time management and organizational abilities.
We help crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.
We have a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.
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