Build and operate Python-based data pipelines for AI model training, including OCR processing, data cleaning, and Azure storage management.
Compensation
Payrate: $92.00 - $98.00/hr.
Pay Transparency: The typical base pay for this role across the U.S. is: $92.00 - $98.00 /hour.
Responsibilities
Develop, maintain, and optimize Python pipelines for data ingestion, OCR processing, text extraction, cleaning, normalization, and deduplication.
Run and monitor large-scale batch processing jobs, investigate failures, and implement reliable retry and recovery mechanisms.
Build automated quality checks to identify missing or corrupted files, incomplete OCR outputs, duplicate content, formatting issues, and metadata inconsistencies.
Prepare training-ready datasets through filtering, text segmentation, tokenization, and conversion into agreed data formats.
Manage bulk uploads, downloads, and synchronization between local processing environments and Azure storage; verify transfer completeness and data integrity.
Contribute to the development of AI training datasets by building and maintaining Python-based data processing pipelines for large-scale structured and unstructured datasets.
Locations (2)
Bellevue, Washington, United States
Seattle, Washington, United States
Compensation
For candidates based in Washington State, the anticipated salary range is $150,000– $160,000 USD/Annually.
Responsibilities
Design, develop, maintain, and optimize Python-based data pipelines for large-scale data ingestion, processing, and transformation.
Build datasets from the ground up by collecting, organizing, cleaning, validating, and preparing raw structured and unstructured data.
Develop workflows for OCR processing, text extraction, normalization, filtering, segmentation, and deduplication.
Execute and monitor large-scale batch processing jobs, troubleshoot failures, and implement automated retry and recovery mechanisms.
Develop automated data quality checks to identify missing or corrupted files, incomplete processing outputs, duplicate records, formatting issues, and metadata inconsistencies.
Provide technical ownership for the computer hardware ecosystem supporting Moderna’s Research and Technical Development laboratories
Compensation
The salary range for this role is $109,200.00 - $174,600.00. The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award
Responsibilities
Serve as a technical owner for computer hardware and printers used in laboratory systems
Manage the complete lifecycle of laboratory computer hardware and operating systems
Manage the lifecycle of laboratory instrument controller systems and associated client hardware
Ensure laboratory systems meet performance, availability, security, compliance, scalability, and interoperability requirements
Support and maintain backup, disaster recovery, and business continuity strategies
Establish and lead the company's AI & Automation function, defining its strategy, roadmap, priorities, and operational framework.
Compensation
Annual Gross Compensation: Base Salary €50.000 - €70.000, with flexibility to go above this range for highly experienced profiles
Responsibilities
Establish and lead the company's AI & Automation function, defining its strategy, roadmap, priorities, and operational framework.
Design, develop, and deploy AI-powered solutions and automation tools to optimize business processes and improve operational efficiency.
Develop automated data extraction solutions from maritime documents, including charter parties, Statements of Facts (SOFs), invoices, and survey reports, converting unstructured information into structured data.
Implement AI-powered systems for the summarization, classification, and management of incoming correspondence by vessel, subject, and operational case.
Develop dashboards and reporting tools to monitor fleet operational and financial performance.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.
Shape the Future of Pharmaceutical Systems Through Data, AI and Digital Innovation, driving strategy and execution of enterprise-wide transformation initiatives.
Compensation
€93,600,00 - €149,775,00 EUR Annual
Responsibilities
Lead the PharmSystems digital transformation roadmap and portfolio
Prioritize investments in AI, advanced analytics, data, automation, and digital solutions
Drive portfolio governance, resource allocation, vendor partnerships, and investment decisions
Partner with business leaders to uncover high-impact transformation opportunities
Collaborate with product teams, architects, engineers, and data specialists to design and deliver transformative solutions
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