Data Scientist/ML Architect

Overview We are looking for an ML Architect that will help design and architect an MVP in AWS Sagemaker. Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase through build/deploy. This individual will have a chance to be a TGS full time employee. Responsibilities Assess current models, data pipelines and operations; identify gaps and design improvements. Design and architect an MVP in AWS Sagemaker and drive build and deployment through the MVP lifecycle. Lead the assessment and design phase through build and deploy. Collaborate with cross-functional teams to implement scalable ML deployment and governance. Qualifications 10+ years ML Architect AWS Snowflake python Strong deployment skills Context / Vision Recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. AI Factory / Leading Edge Tech Stack Our vision for digital, data analytics and AI: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack

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