Senior Machine Learning Engineer

Senior Machine Learning Engineer (contract) focused on building a scalable, tested, and configurable ML platform for enterprise workflows across on-prem and Google Cloud.

Responsibilities

• Translate ML and platform functionality into scalable, tested, configurable platform software.
• Define and automate metrics and metadata management using software packages that standardize logging and governance for platform tenants.
• Build and integrate platform data pipelines connecting on-prem and cloud sources, including RDBMS systems and data warehouses.
• Develop capabilities aligned to enterprise AutoML, Feature Engineering, and MLOps.
• Develop using Python and Google Cloud Platform.
• Deploy and monitor ML models across batch and real-time business processes.
• Work with cross-functional teams in an agile environment.

Requirements

• Understanding of advanced algorithms and practical applications (including R and/or Python).
• Ability to recommend infrastructure components, including GPU/CPU choices, based on job and compute needs.
• Experience managing and integrating data sources across on-prem and cloud (RDBMS systems, warehouses, BigQuery, bucket storage).
• Strong communication skills.
• 2+ years deploying and monitoring models in batch and real-time business processes, with an understanding of ML frameworks.
• 2+ years of Python programming with strong software development principles.
• Hands-on experience building solutions using cloud-native services, with GCP preferred (AWS acceptable), including:
  • Bucket Storage
  • BigQuery
  • Kubeflow
  • DataProc
  • VertexAI
  • DataFusion

Tech Stack

• R
• Python
• Google Cloud Platform
• BigQuery
• Bucket Storage
• Kubeflow
• DataProc
• VertexAI
• DataFusion
• AWS

Location and Work Details

• Location: United States (Hybrid Remote)
• Job type: Contract (C2C Full Time)
• Minimum experience: 2+ years
• VISA status: GC US-CITIZEN
• Job category: IT Services