Advanced Data Scientist Position

2 weeks ago

Singapore beBeeMachineLearning Full time $100,000 - $150,000
Machine Learning Specialist

This role offers the opportunity to work on cutting-edge technologies and contribute to transformative business solutions in a dynamic and collaborative environment.

  • Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
  • Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
  • Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
  • Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
  • Work closely with software engineers and DevOps teams to deploy models in production environments.
  • Implement APIs and integrate models into existing systems to enable real-time decision-making.
  • Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
  • Continuously refine models and algorithms based on user feedback and performance metrics.
  • Perform exploratory data analysis to uncover trends and insights.
  • Use statistical methods and visualization techniques to communicate findings to stakeholders.
  • Stay updated on advancements in ML and artificial intelligence (AI).
  • Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.
Required Skills and Qualifications
  • Min. Bachelor's Degree in Computer Science, Data Science, Statistics, Machine Learning, or a related field.
  • At least 3-4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
  • Familiarity with Large Language Models and Generative AI technologies is advantageous.
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of statistical analysis, probability theory, and hypothesis testing.
  • Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is beneficial.
  • Excellent communication skills to articulate technical concepts to diverse stakeholders.
Benefits
  • Opportunity to work on cutting-edge technologies.
  • Chance to contribute to transformative business solutions.
  • Collaborative work environment.
Others
  • Continuous learning opportunities to stay updated on advancements in ML and AI.
  • Ability to evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Tell employers what skills you have:

TensorFlow
Machine Learning
Azure
Artificial Intelligence
Tuning
PyTorch
Python
Statistics
Data Science
Visualization
Articulate
Scientific Computing

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