Machine Learning Specialist - Amtex Systems : Job Details

AI/ML Engineer

Edison, NJ

Long Term

Must Have:

AI/ML, Regulatory data, AWS, Pharma Experience

Roles and Responsibilities:

Partner with Product teams, client Technology Services and other architects to design scalable, flexible and supportable technical systems that drive business value in support of Regulatory Strategy and Intelligence

Develop architecture artifacts in collaboration with business and client product owners, lead engineers, platform owners, R&D Architecture, Information Security, Quality and Technology Services stakeholders.

Artifacts for each project include the business context diagram, process overview, data flow diagram, application architecture, data model overview, integration architecture, infrastructure architecture and ML and ML Ops architectures.

Responsible for architecture alignment to Regulatory, Enterprise and R&D technology strategies, patterns and standards

Ensure Product roadmaps align to Regulatory strategy, established architectural principles and patterns, and enterprise ALM/TLM requirements.

Enable business at scale through simplification of the application landscape, system integration and intelligent automation.

Capture architecture and design information and decisions using J&J-standard tools (Lean IX, SAXpress, Asset Management, Draw-IO, AMT, Confluence, MS Teams)

Education:

BA/BS degree in a technical, engineering or scientific field

AWS-Certified Solutions Architect certification required

AWS Well-Architected Framework certification desirable

AWS Certified Machine Learning Specialty certification desirable

Experience and Skills Required:

Knowledge of Regulatory data, content and terminology used in Pharmaceutical development

5+ years of experience as a Solution Architect in pharmaceutical development

5+ years of experience in integration design and operationalization (REST APIs, Kafka, ETL, data pipeline design, API gateways, data streaming)

5 years of experience working with structured RDBMS and content management platforms

Experience architecting regulated systems (GxP, HPIAA, GDPR, etc)

2-3 years of experience architecting digital automation solutions using BPM, RPA, NLP and ML

Knowledge and skills in compute, networking, storage, database and AWS machine learning services as well as AWS deployment and management services.

Experience leading technical conversations, workshops and works to remove ambiguity, drive consensus and reach decisions across stakeholders

Proven ability to understand and articulate business requirements, direction, and initiatives.

Experience surfacing technical requirements and building IT product roadmaps