
Innovative AI and Genomics Product Developer
4 days ago
Thermo Fisher Scientific is not mentioned in this job description, only the opportunity that we have here.
We are seeking a highly motivated and experienced developer to join our team in developing innovative AI and genomics products. The ideal candidate will have a strong background in machine learning and deep learning models, as well as experience with data preprocessing and feature engineering techniques.
Job Responsibilities- Design and develop robust deep learning models for use in genomics and image processing 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.
This role offers hands-on experience with modern AI technology and opportunities to work on complex, real-world challenges in the omics science domains.
Requirements- 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).
As a member of our team, you will have the opportunity to contribute to the development of innovative AI and genomics products, work with a talented team of engineers and scientists, and learn from experts in the field.
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