Graph ML Engineer, Exiger
Risk & compliance software
Job no longer available
Risk & compliance software
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To make the world a safer and more transparent place to succeed.
Role
Who you are
- Strong and proven programming skills (Python preferred, but other languages may also be considered)
- Proven experience with graph theory and graph ML algorithms (e.g., GNNs, GraphRAG, link prediction)
- Hands-on expertise with LLMs (and transformers-based models) and transfer learning, model fine-tuning, and prompt engineering
- Strong background in building and deploying predictive ML models in production environments
- (Bonus) PhD-level (or post-graduate research) experience in Computer Science, Machine Learning, Data Science, or a related quantitative field
- (Bonus) Relevant publications in top venues in the field
- (Bonus) Familiarity with agent-based systems and multi-agent AI frameworks (e.g. LangGraph, CrewAI) (e.g. LangGraph, CrewAI)
What the job involves
- We are seeking a highly skilled and innovative Graph ML Engineer to join our team focused on revolutionizing supply chain discovery and risk analysis
- As part of our advanced Data Science and AI group, you will develop and deploy cutting-edge machine learning solutions that uncover hidden risks, enable due diligence, and enhance transparency across global supply chains among other applications
- Design and implement graph-based machine learning models to map and analyse complex supply chain networks
- Develop and fine-tune Large Language Models (LLMs) for extracting and synthesizing supply chain-related data from diverse text sources
- Build and optimize Graph RAG models
- Create predictive models to identify risk factors and forecast disruptions within supply chains
- Collaborate with cross-functional teams including data engineers, product managers, and domain experts
- Contribute to the development of Agentic AI systems for dynamic and autonomous supply chain analysis and decision-making
- Provide technical leadership in AI and Data Science, and engage with the company’s R&D culture
- Contribute to potential publications and/or IP patents
Salary benchmarks
Our take
Exiger is a risk and compliance company specializing in third-party, supply chain and customer resilience. It supplies a range of software and tech-enabled solutions for businesses to enhance both safety and transparency in an increasingly cyber-risk-heavy environment.
The company's flagship offering is the award-winning 1Exiger platform. Currently, it is the only open-source third-party supply chain management software that works in real time. This enables companies and government agencies to continuously improve resilience and compliance, as well as cut costs.
With over a decade of experience under its belt, Exiger is an expert choice for businesses across a wide range of sectors. Recently, it has focussed on expanding its capabilities through acquisitions, such as that of supply chain risk visibility platform aDolus and proprietary parts intelligence company XSB.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Jul 2018
$80m
SERIES A
Total funding: $80m
Company benefits
- Discretionary time off for all employees, with no maximum limits on time off
- Industry leading health, vision and dental benefits
- 16 weeks of fully paid parental leave
- Flexible, hybrid approach to working from home and in the office where applicable
- Focus on wellness and employee health through stipends and dedicated wellness programming
- Purposeful career development programs with reimbursement provided for educational certifications
Company HQ
Theater District, New York, NY
Leadership
Michael Beber
(Board Chair)Former President and CEO of the company. Previously a Board Member at Accordion, Co-founder and Board Chair at ArborTrek Canopy Adventures, and President and CEO at Altegrity Risk International.
Michael Cherkasky
(Board Member)Chair of BrightLineGRC. Former CEO of Altegrity, Marsh & McLennan Companies and Kroll, as well as working in the Chief Investigation Division of the Manhattan District Attorney's Office.
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