onsite
AI Engineer - Illumina
AI Engineer
AI Engineer focused on developing machine learning models for genomic data analysis, leveraging Python, TensorFlow, and PyTorch on AWS to drive early disease detection and personalized treatment solutions.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning pipelines for genomic data processing and analysis.
- Collaborate with bioinformatics and clinical teams to translate research questions into predictive models.
- Implement deep learning architectures (e.g., CNNs, RNNs) using TensorFlow or PyTorch to identify disease biomarkers.
- Optimize model performance and inference speed on AWS infrastructure, ensuring compliance with data security standards.
- Document model development, validation, and deployment processes for reproducibility and regulatory review.
Requirements
- BS/MS in Computer Science, Bioinformatics, or related field with strong programming background.
- Proven experience in Python and deep learning frameworks (TensorFlow, PyTorch).
- Hands‑on experience with genomic datasets and variant calling pipelines.
- Familiarity with cloud services (AWS, SageMaker) and containerization (Docker, Kubernetes).
- Excellent problem‑solving skills and ability to communicate complex concepts to cross‑functional teams.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws