Delivery Consultant - AI/ML, AWS Professional Services WWPS Life Science - Amazon Web Services
Software Engineer
Lead AI/ML solution design for life‑science enterprises, leveraging AWS services and Generative AI to transform complex data into actionable insights and scalable models.
About the role
Key Responsibilities
Architect and deliver end‑to‑end AI/ML solutions on AWS, integrating data pipelines, model training, and deployment for life‑science clients.
Collaborate with cross‑functional teams to translate business requirements into scalable, production‑ready ML workflows.
Implement Generative AI strategies, optimizing model performance and ensuring compliance with regulatory standards.
Provide technical guidance and mentorship to client teams, fostering adoption of best practices in data engineering and cloud architecture.
Drive continuous improvement of ProServe delivery processes, incorporating feedback and emerging AWS services.
Requirements
5+ years of experience designing and deploying ML solutions in a professional services or consulting environment.
Proficiency in Python, AWS services (SageMaker, Lambda, Glue, Athena), and data engineering tools.
Strong understanding of Generative AI techniques and their application to life‑science data.
Excellent communication skills, with the ability to explain complex technical concepts to non‑technical stakeholders.
Experience with regulatory compliance (e.g., HIPAA, GDPR) in the life‑science domain is a plus.