AI and Machine Learning Expert

23 hours ago

Singapore beBeeArtificialIntelligence Full time $90,000 - $120,000

Job Description:

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The role of Deep Learning Engineer involves the development and deployment of advanced machine learning models for various applications in genomics, image processing, and time-series analysis. This position requires a strong background in AI and generative AI technologies, with hands-on experience with modern AI technology.

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Responsibilities:

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  • Design and develop robust deep learning models for use in genomics, image processing, time-series analysis, and genomics-adjacent applications.">
  • Develop and implement data processing pipelines for large-scale genomics datasets.">
  • Optimize model performance for real-world scenarios, considering factors like data variability, noise, and computational efficiency.">
  • Collaborate with multi-functional teams to deploy scalable AI solutions and integrate AI models into customer-facing applications.">
  • Implement automated testing and monitoring systems to assess model quality and performance.">
  • Deploy and maintain ML models in production environments, ensuring scalability and reliability.">
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Required Skills and Qualifications:

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  • 3+ years of experience in developing and deploying machine learning models.">
  • Proficient in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).">
  • Familiarity with data preprocessing and feature engineering techniques.">
  • Experience with basic ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).">
  • Familiarity with version control systems like Git.">
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Benefits:

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  • Opportunity to work with cutting-edge AI technology and contribute to innovative projects.">
  • Chance to collaborate with a diverse team of experts in AI and related fields.">
  • Professional growth and development opportunities.">
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Others:

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  • Master's or Ph.D. in a relevant field is highly preferred.">
  • 5+ years of experience in developing and deploying machine learning models for genomics data analysis is a plus.">
  • Experience with containerization and orchestration tools (Docker, Kubernetes) is desirable.">
  • Expertise in Python and familiarity with C++/Java are valuable assets.">
  • Knowledge of LLMs, LangChain, LlamaIndex, and RAG frameworks is a bonus.">

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