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Senior Machine Learning Expert

2 weeks ago

Singapore beBeeMachineLearning Full time $80,000 - $140,000
Unlock Career Advancement as a Machine Learning Engineer

This is a unique opportunity to work on cutting-edge machine learning technologies and contribute to transformative business solutions in a dynamic and collaborative environment.

We are looking for an experienced Machine Learning Engineer who can design, develop, and optimize machine learning models and algorithms to address business challenges.

Key Responsibilities:

  • Design and Develop Advanced Models: Design, develop, and optimize machine learning models and algorithms to address business challenges.
  • Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
  • Train and Fine-Tune Models: Train and fine-tune machine learning models using appropriate algorithms, techniques, and tools.
  • Evaluate Model Performance: Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
  • Deploy Models in Production: Work closely with software engineers and DevOps teams to deploy models in production environments.
  • Implement APIs and Integration: Implement APIs and integrate models into existing systems to enable real-time decision-making.
  • Monitor and Refine Models: Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
  • Stay Updated on Advancements: Stay updated on advancements in machine learning and artificial intelligence.
  • Refine Models and Algorithms: Continuously refine models and algorithms based on user feedback and performance metrics.

Requirements:

  • 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 machine learning models for real-world applications.
  • Familiarity with Large Language Models and Generative AI technologies is a plus.
  • Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of statistical analysis, probability theory, and hypothesis testing.
  • Experience with cloud-based machine learning tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
  • Excellent communication skills to articulate technical concepts to diverse stakeholders.