Machine Learning Engineer

Quantum Technologies. LLC; McLean (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Quantum Technologies. LLC in McLean, Virginia is seeking an ML Engineer to own operation and maintenance of ML pipelines and infrastructure as part of the decisioning platform for mobile and web properties.

The role focuses on optimization, automation, and scaling to support additional customers and weekly model releases, with collaboration to align with Data Engineers. The team already includes a Data Engineer and spans NY and McLean, with plans to move from fast models to transformer-based

Responsibilities

• Operate and maintain ML pipelines and infrastructure.
• Optimize and automate pipeline processes for scale.
• Collaborate with Data Engineers on feature delivery and model deployment.
• Release ML models weekly to production.

Job description

Banking & Finance,Retail,Telecom,Aerospace/ Airlines,IT/Software

Work Authorization:

This position is for ML decisioning team that own a platform does which does ML decision for mobile /web properties , does Campaign Arbitration through PV(present value ) to measure the ML scoring and show to UI partners. This team comprises of DE/ SE owns date pipeline /API , feature development of these properties .They are increasing the scope of this project by increasing the team to take on ML engineering hence the need to onboard ML engineer. The team is taking over the existing ML data pipeline own by the data science team/model training pipeline. Team is widespread in NY /Mclean .The team would be responsible to own end to end ML infrastructure. They are moving from Reno fast models to transformers models in later this year

This role will be responsible for operation & maintenance of pipelines/built on Quickflow /heads down work on optimization/automation , scaling the infrastructure for additional customer to move discover back to customers /releasing ML models everyweek. They already have 1 Data engineer so this role will be focus on ML engineering side who will be partnering with the DE

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.