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Machine Learning Engineer

Roles & Responsibilities

  • Machine Learning (supervised and unsupervised; clustering, classification, regression, time-series)
  • Python data libraries (NumPy, Pandas, Scikit-learn, Keras)
  • SQL data transformation (feature stores, ELT pipelines)
  • Experience deploying and managing ML models at scale in customer environments using platforms such as Vertex AI

Requirements:

  • Aggregate, analyze, and generate supervised and unsupervised ML insights from large application telemetry datasets; consolidate high-value data via REST APIs or ELT processes into data lakes such as BigQuery, Snowflake, or Databricks.
  • Build, train, test, tune, and deploy AI models at scale within customer operating architectures using platforms such as Vertex AI.
  • Collaborate with customers on AI feature roadmaps (including GenAI applications) and manage the ongoing performance of deployed models.

Job description


Title: Machine Learning Engineer
Location : 100% Remote
Target Start Date : ASAP
Type: C
Pay Rate / Salary (Ranges OK) : 85K/mo

An AI product company that helps B2B organizations drive profitable growth by connecting telemetry and operational data across product analytics, CRMs, support systems, and knowledge bases is seeking a Machine Learning Engineer. You will be accountable for the development, training, and performance management of QuadSci's AI models across 1–5 customer environments, working as a highly trusted and billable ML Engineer.

Responsibilities:

Aggregate, analyze, and generate supervised and unsupervised ML insights from large application telemetry datasets; consolidate high-value data via REST APIs or ELT processes into data lakes such as BigQuery, Snowflake, or Databricks.

Build, train, test, tune, and deploy AI models at scale within customer operating architectures using platforms such as Vertex AI.

Collaborate with customers on AI feature roadmaps (including GenAI applications) and manage the ongoing performance of deployed models.

Key Skills:

Machine Learning (supervised & unsupervised — clustering, classification, regression, time-series)

Python & data libraries (NumPy, Pandas, Scikit-learn, Keras)

SQL & data transformation (feature stores, ELT pipelines)




Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com .

We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.





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