AI Model Developer

2 weeks ago

Singapore beBeeMachineLearning Full time $80,000 - $120,000
Job Title: Artificial Intelligence Model Developer

We are seeking a highly skilled Artificial Intelligence Model Developer to join our team. The ideal candidate will be responsible for designing, developing and deploying machine learning models to drive business growth.

The successful applicant will have a strong background in machine learning and experience working with various algorithms and libraries such as TensorFlow, PyTorch and scikit-learn. Additionally, they should possess excellent programming skills in languages like Python and proficiency in machine learning frameworks and libraries.

A Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning or a related field is required. At least 2 years of experience working in a similar role is also essential. If you are passionate about machine learning and have a solid understanding of statistical analysis, probability theory and hypothesis testing, we would love to hear from you.

Responsibilities:
  • Model Development: Develop and optimize machine learning algorithms to solve complex business problems.
  • Model Evaluation and Deployment: Train and fine-tune machine learning models using appropriate techniques. Evaluate model performance and identify areas for improvement.
  • Integration and Performance Monitoring: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Monitor model performance and address any issues or anomalies that arise.
  • Data Analysis and Insights: Perform data analysis, generate insights and present findings to stakeholders. Use statistical methods and visualization techniques to communicate complex concepts effectively.
Requirements:
  • A Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning or a related field.
  • At least 2 years' experience working in a similar role. Hands-on experience in designing, developing and deploying machine learning models in real-world applications.
  • Solid understanding of machine learning algorithms and libraries such as TensorFlow, PyTorch and scikit-learn.
Technical Skills:
  • Strong programming skills in languages such as Python.
  • Proficiency in machine learning frameworks and libraries.
  • Solid understanding of Statistical Analysis, Probability Theory and Hypothesis Testing.

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