Machine Learning Engineer (Data Engineering Focus)

Charlotte, NC, US • Posted 16 hours ago • Updated 16 hours ago
Contract Corp To Corp
Contract Independent
Contract W2
12 Months
No Travel Required
On-site
$00 - $00/hr
Fitment

Dice Job Match Score™

📊 Calculating match score...

Job Details

Skills

  • Python
  • SQL
  • Spark / PySpark
  • Databricks
  • Machine Learning Engineering
  • Data Ingestion Pipelines
  • Feature Engineering
  • Feature Pipeline Development
  • ML Inference Pipelines
  • Model Packaging & Inference Integration
  • Production ML Pipelines
  • GCP

Summary

Job Description

We are seeking a Machine Learning Engineer with a strong Data Engineering background to support enterprise-scale machine learning platforms. The ideal candidate will partner closely with Data Scientists to build and optimize production-ready ML data pipelines, feature engineering frameworks, and inference infrastructure.

Required Skills

  • 8+ years of software/data engineering experience
  • Strong Python programming
  • Spark / PySpark
  • Databricks
  • SQL
  • Production Data Engineering
  • Data Ingestion Pipelines
  • Feature Engineering
  • Feature Pipeline Development
  • ML Inference Pipelines
  • Model Deployment Support
  • REST APIs / Microservices
  • CI/CD for ML Pipelines
  • Google Cloud Platform OR Azure or AWS Cloud
  • Git

Responsibilities

  • Build and maintain production data ingestion pipelines for machine learning.
  • Design and optimize feature engineering pipelines for large-scale ML workloads.
  • Partner with Data Scientists to prepare production-ready datasets and reusable features.
  • Support inference pipelines and production deployment.
  • Integrate ML services into enterprise applications.
  • Optimize feature pipelines for performance and scalability.
  • Monitor production KPIs, data quality, and pipeline health.
  • Maintain reproducible ML engineering workflows and version-controlled pipelines.

Preferred Qualifications

  • Experience supporting enterprise ML platforms.
  • Experience with MLOps tools.
  • Financial Services or Banking experience preferred.

Candidates with recent experience primarily focused on Data Science, LLM/Generative AI, or end-to-end model development are not the target profile. The ideal candidate should have hands-on experience in production ML engineering with a strong focus on data ingestion, feature engineering, inference pipelines, and production deployment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10375704
  • Position Id: 9009705
  • Posted 16 hours ago
Contact the job poster
PM

Pavan Manne

Recruiter @ Euclid Innovations
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Remote

14d ago

Easy Apply

Contract

Depends on Experience

Remote

Today

Full-time

USD 155,520.00 - 194,400.00 per year

Remote

3d ago

Easy Apply

Contract

Depends on Experience

Pennsylvania

Today

Contract

USD55 - USD60

Search all similar jobs