remote
Sr. Staff AI Developer - Thermo Fisher Scientific
Software Engineer
Senior AI developer leading end‑to‑end ML solutions on AWS, driving deep learning models with PyTorch to solve complex scientific challenges.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade deep learning models using PyTorch and TensorFlow on AWS infrastructure.
- Collaborate with cross‑functional teams to translate scientific problems into scalable AI solutions.
- Implement data pipelines, feature engineering, and model monitoring for continuous improvement.
- Mentor junior engineers and conduct code reviews to uphold best practices.
- Stay current with emerging AI research and integrate novel techniques into product roadmaps.
Requirements
- 10+ years of software engineering experience with a focus on AI/ML.
- Proficiency in Python, PyTorch, and AWS services (SageMaker, EC2, S3).
- Strong background in deep learning architectures (CNNs, RNNs, Transformers) and experience with large‑scale datasets.
- Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical stakeholders.
- Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and model deployment best practices.
Skills
pythonmachine learningdeep learningawspytorch