
AI Deep Learning Engineer
2 weeks ago
We are seeking a seasoned deep learning engineer to join our team. As a key member of our organization, you will be responsible for designing and developing robust deep learning models for use in genomics, image processing, time-series analysis and genomics-adjacent applications.
Job DescriptionThe ideal candidate will have a strong background in machine learning and experience with deep learning frameworks such as TensorFlow and PyTorch. You will work closely with our cross-functional teams to integrate AI/ML solutions into products and services.
Your primary responsibilities will include:
- Designing and developing deep learning models for real-world scenarios
- Developing and implementing data processing pipelines for large-scale genomics datasets
- Optimizing model performance for real-world scenarios, considering factors like data variability, noise, and computational efficiency
To be successful in this role, you will need:
- Bachelor's degree in Computer Sciences, Mathematics, Statistics or a related field; Master's degree highly preferred
- 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
The following qualifications are highly desirable:
- 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 (Docker, Kubernetes)
- Expert in Python; experience with C++/ Java a plus
- Experience with MLOps practices and tools
- Knowledge of LLMs, LangChain, LlamaIndex, and RAG frameworks
We offer a competitive salary and benefits package, including health insurance, retirement plan, and paid time off.
In addition, you will have the opportunity to work on cutting-edge projects and collaborate with a talented team of engineers and researchers.
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