AIML Engineer
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Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
AboutSpendHQ
SpendHQempowers procurement leaders at complex organizations to make important decisions with confidence by providinga single sourceof truth for spend data project tracking and performance management. By integrating the full procurement workflow from reliable spend and supplier data in Spend Intelligence to real-time project tracking in Performance Management teams can easily execute strategy and deliver on their goal related to cost savings ESG risk reduction compliance and more. Over 400 global organizations rely onSpendHQsplatform for visibility workflow organization and out-of-the-box reporting capabilities needed to accelerate procurements impact all in one intuitive interface.
TheSpendHQSaaS platform has been on the market for over 10 years. Our clients are recognized as marketleaders from both mid-size organizations and large multinational corporations such as Coca Cola NikeBristol Myer SquibbThermoFischer and :// 20000SpendHQusers across 400 global clients.
We proudly have over 120 team members in 10 countries with headquarters in both Atlanta GA and LyonFrance. But we are not stopping taking on new challengesand we look forward tocontinuing to grow the company and team.
Role Overview
SpendHQis building the next generation of its categorization and vendor-normalization enginean ensemble of AI rules and human-in-the-loop intelligence that powers our spend analytics platform. The Machine Learning Engineer will design and implement the production infrastructure to train deploy andmonitorthese models atscale.
Youllpartner closely with Data Scientists and Data Engineers to translate experimental models into performant maintainable and auditable systems running in Snowflake and containerizedcomputeenvironments.
Key Responsibilities
SpendHQempowers procurement leaders at complex organizations to make important decisions with confidence by providinga single sourceof truth for spend data project tracking and performance management. By integrating the full procurement workflow from reliable spend and supplier data in Spend Intelligence to real-time project tracking in Performance Management teams can easily execute strategy and deliver on their goal related to cost savings ESG risk reduction compliance and more. Over 400 global organizations rely onSpendHQsplatform for visibility workflow organization and out-of-the-box reporting capabilities needed to accelerate procurements impact all in one intuitive interface.
TheSpendHQSaaS platform has been on the market for over 10 years. Our clients are recognized as marketleaders from both mid-size organizations and large multinational corporations such as Coca Cola NikeBristol Myer SquibbThermoFischer and :// 20000SpendHQusers across 400 global clients.
We proudly have over 120 team members in 10 countries with headquarters in both Atlanta GA and LyonFrance. But we are not stopping taking on new challengesand we look forward tocontinuing to grow the company and team.
Role Overview
SpendHQis building the next generation of its categorization and vendor-normalization enginean ensemble of AI rules and human-in-the-loop intelligence that powers our spend analytics platform. The Machine Learning Engineer will design and implement the production infrastructure to train deploy andmonitorthese models atscale.
Youllpartner closely with Data Scientists and Data Engineers to translate experimental models into performant maintainable and auditable systems running in Snowflake and containerizedcomputeenvironments.
Key Responsibilities
- Design build andmaintainML pipelines for classification vendor normalization and enrichment models.
- DevelopMLOpspractices including CI/CD for model deployment versioning and monitoring of accuracy and drift.
- Implement feature-store and model registry logic that supports both global (multi-client) and customer-specific models.
- Optimizemodel performance and inference cost across varying dataset sizes.
- Build APIs and services that expose classification outputs and confidence scoring to theSpendHQplatform.
- Collaborate with Product and Engineering to integrate model outputs into user-facing rule editors and dashboards.
- Partner with Data Engineers to manage data ingestion and CoreDataModelmapping workflows used as model inputs.
- Define success metrics for model speed scalability and reliability.
What skills and experience should you have
- 5 years of experience in ML engineering data engineering or applied AI roles.
- Strong Python experience with ML frameworks (PyTorch TensorFlow scikit-learn).
- Experience building and deploying ML pipelines in AWS (S3 SageMaker ECS Lambda IAM).
- Experience building pipelines on cloud or Snowflake/Snowpark environments.
- Familiarity with containerization (Docker/Kubernetes) GitHub Actions and CI/CD practices.
- Experience deploying NLP or classification models in production.
- Understanding offeature engineering and data quality in multi-tenant SaaS environments.
- Collaboration skillsto support partneringwith data scientists engineers and analysts.
- Familiarity with LLM integration for text classificationandentity resolution.
- Interest in appliedMLOpsand active learning workflows.
- Experience with procurement ERP or spend-data domains(preferred but notrequired).
- Model governance practices including version control auditability and access management.
Why should you join us
- To join a successfulProcuretechscale-up company global leader in Spend Intelligence and Performance Management during a time of fast growth
- To be part of a passionate and collaborative team withstrong teamvalues
- To be empowered to be bold to take initiative and to grow into your role thedevelopment of your knowledge and skills will always be encouraged
- Autonomy and ownership in a high-growth global SaaS company
AtSpendHQ we are:
Stronger Together Everyone playsan important roleatSpendHQ. We deliver more successthrough shared goals and mutual support. We work diligently to break down silos and collaborate.
People Focused We care about those we work with and those we serve. We strive for strongresults but not at the expense of people.
Our Best Every Day We act with authenticity integritydependabilityand empathy. We aretransparent with clients and each other. We foster an environment full of humble fun go-getters whoapproach every day as an opportunity to be their best.
Customer Obsessed Our customers are the reason for our success. We work hard to providesolutions that make their lives easier and help them achieve extraordinary things.
Bold in Action We believe in taking daring moves. We do everything with enthusiasm because weknow our work is meaningful.
Whatdo youneed to know
Stronger Together Everyone playsan important roleatSpendHQ. We deliver more successthrough shared goals and mutual support. We work diligently to break down silos and collaborate.
People Focused We care about those we work with and those we serve. We strive for strongresults but not at the expense of people.
Our Best Every Day We act with authenticity integritydependabilityand empathy. We aretransparent with clients and each other. We foster an environment full of humble fun go-getters whoapproach every day as an opportunity to be their best.
Customer Obsessed Our customers are the reason for our success. We work hard to providesolutions that make their lives easier and help them achieve extraordinary things.
Bold in Action We believe in taking daring moves. We do everything with enthusiasm because weknow our work is meaningful.
Whatdo youneed to know
Salarycommensuratewith experience. This is a full-time salaried position with a competitive benefits package:
- Unlimited PTO
- Parental leave
- 401(k)
- Health insurance
- Performance bonus
- Remote work policy
- Flexible working hours
- Equity Program
- Referral bonus
The role reports to our VP of Data & Analytics based in New York and collaborates closely with teams based in Atlanta and Lyon France.
Atlanta is our preferred location with a hybrid work arrangement at our U.S. headquarters but we also offer flexible remote options for candidates based on the East Coast.
Atlanta is our preferred location with a hybrid work arrangement at our U.S. headquarters but we also offer flexible remote options for candidates based on the East Coast.
We are an equal opportunity employer and value diversity at our company. We welcome applications from allqualified individuals regardless of race ethnicity gender sexual orientation disability age or any otherprotected status. If you do not meet every requirement butbelieve you would be a great fit we encourage you to apply!
Important notice:All legitimateSpendHQrecruiting communications comeonlyfrom email addresses ending in@and relate to roles posted on Experience:
IC
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
About Company
Get complete visibility into your organization's spend data with SpendHQ. Our AI-powered platform delivers actionable insights for strategic procurement.
