
Advanced Machine Learning Expert
6 days ago
This position involves developing and implementing cutting-edge machine learning models to drive business growth.
As a highly skilled machine learning engineer, you will work on optimizing our existing ML systems by evaluating current processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
Responsibilities- Collaborate with management to determine and refine machine learning objectives.
- Design and develop 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 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 large volumes of historical data for predictions.
- Perform stress testing, 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 may 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.
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
- Effective time management and organizational abilities.
We are a forward-thinking organization dedicated to leveraging machine learning to achieve success.
Why Join UsThis role offers the opportunity to work on challenging projects, collaborate with experienced professionals, and grow your career in a dynamic environment.
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