Chief Machine Learning Architect

2 days ago

General Santos, Soccsksargen, Philippines beBeeMachineLearning Full time $80,000 - $150,000

Crypto data science plays a pivotal role in contemporary investment strategies, driving informed decisions through cutting-edge machine learning and artificial intelligence.

As a seasoned crypto data scientist and machine learning engineer, you will be responsible for evaluating existing processes, resolving dataset issues, and enhancing AI predictive automation capabilities.

Key Responsibilities
  • Collaborate with management to refine machine learning objectives and develop strategic solutions.
  • Design and implement machine learning systems and self-running AI for predictive models, ensuring optimal performance under diverse market conditions.
  • Transform data science prototypes into practical applications using ML algorithms and tools.
  • Solve complex problems involving multi-layered datasets, leveraging your expertise in data structures and mathematical modeling.
  • Ongoing optimization of machine learning libraries and frameworks to ensure seamless integration and performance.
  • Develop advanced ML algorithms for historical data analysis and predictions, providing actionable insights for stakeholders.
  • Conduct thorough stress testing and result interpretation, accounting for various market scenarios.
  • Maintain comprehensive documentation of machine learning processes and methodologies.
Required Skills and Qualifications
  • Bachelor's degree in computer science or related field; master's degree advantageous.
  • A minimum of two years' experience as a machine learning engineer, with a proven track record of delivering results-driven solutions.
  • Advanced proficiency in Python, Java, and R programming languages, with the ability to adapt to emerging technologies.
  • In-depth knowledge of ML frameworks and data structures, with a focus on efficient data processing and analysis.
  • Strong foundation in mathematics and statistics, with the ability to apply theoretical concepts to real-world problems.

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