Machine Learning Engineer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Management
Optimization
Docker
Kubernetes
Python
Apache Spark
Machine Learning (ML)
Amazon SageMaker
Data Visualization
matplotlib
Tableau
Continuous Integration
Continuous Delivery
Jenkins
Version Control
Git
Cloud Computing

Job Details

Hiring: W2 Candidates Only



Location: USA



Visa: Open to any visa type with valid work authorization in the USA



Level: Mid to Lead positions

Responsibilities:

  • Deploy machine learning models on cloud platforms (AWS, Google Cloud Platform, Azure)

  • Build and maintain ML pipelines using Airflow or Kubeflow

  • Track experiments and manage ML lifecycle with tools like mlflow and TensorBoard

  • Ensure model explainability, monitoring, and optimization for deployment

  • Implement secure deployment practices using Docker and Kubernetes


Requirements:

  • Strong Python and Spark skills

  • Experience with cloud platforms and ML services (SageMaker, etc.)

  • Proficient in data visualization (Matplotlib, Seaborn, Tableau)

  • Familiar with CI/CD tools (Jenkins) and version control (Git)

  • Knowledge of secure cloud environments and best practices


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