AI/ML Developer: Genomics Revolution

7 days ago

Singapore beBeeMachineLearning Full time $100,000 - $150,000
Job Opportunity">

This role offers hands-on experience with modern AI technology, enabling you to drive innovation in the omics science domains. You will work with deep learning models, optimize algorithm performance, and develop novel algorithms and techniques.

You will have the opportunity to immerse yourself in complex, data-intensive challenges and collaborate with multi-functional teams to integrate AI/ML solutions into products and services.

This is a mid-career developer position that requires strong interest and background in AI and generative AI technologies.

Responsibilities:

  • 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.
  • Present technical findings and progress updates to team members and partners.

Education:

Bachelor's degree in Computer Sciences, Mathematics, Statistics, or a related field; Master's degree is highly preferred.

Required Qualifications:

  • 3+ years of experience in developing and deploying machine learning models.
  • Proficient in Python and relevant machine learning libraries.
  • Familiarity with data preprocessing and feature engineering techniques.
  • Experience with basic ML infrastructure.
  • Familiarity with version control systems like Git.

Desired Qualifications:

  • Master's or Ph.D. in a relevant field.
  • 5+ years of experience in developing and deploying machine learning models for genomics data analysis.
  • Experience with containerization and orchestration tools.
  • Expert in Python; experience with C++/Java is a plus.
  • Experience with MLOps practices and tools.

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