remote
Delivery Consultant - AI/ML, AWS Professional Services WWPS Life Science - Amazon
Software Engineer
Lead AI/ML solution delivery for life‑science clients, architecting scalable AWS services, building generative models, and transforming complex data into actionable insights.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end AI/ML solutions on AWS for life‑science enterprises, ensuring scalability, security, and compliance.
- Collaborate with cross‑functional teams to translate business requirements into data pipelines, model training workflows, and production deployments.
- Implement Generative AI capabilities, leveraging large language models and multimodal data to drive innovation in drug discovery, clinical trial optimization, and regulatory reporting.
- Provide technical leadership and mentorship to client teams, conducting workshops, code reviews, and best‑practice sessions.
- Monitor model performance, troubleshoot issues, and iterate on solutions to maintain high accuracy and reliability.
Requirements
- 5+ years of experience in AI/ML engineering, with a strong background in Python, TensorFlow/PyTorch, and AWS services (SageMaker, Lambda, Glue, Redshift).
- Proven track record of delivering production‑grade ML models in regulated life‑science environments.
- Deep understanding of data engineering, ETL pipelines, and cloud architecture best practices.
- Excellent communication skills, able to translate complex technical concepts to non‑technical stakeholders.
- Strong problem‑solving mindset and ability to thrive in a fast‑paced, collaborative setting.
Skills
pythonawsmachine learninggenerative ai