Machine Learning Engineer

  • Arlington, VA
  • Posted 2 days ago | Updated 9 hours ago

Overview

On Site
USD 125,000.00 - 145,000.00 per year
Full Time

Skills

FOCUS
OOD
Training
Evaluation
Level Design
Scalability
Database
API
DevOps
Testing
Concept Development
Test Plans
Computer Vision
Algorithms
TensorFlow
Machine Learning (ML)
Python
Real-time
Workflow
Collaboration
Communication
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET

Job Details

Description

We are looking for a skilled Machine Learning Engineer to join our team in Arlington, Virginia. In this role, you will focus on designing, implementing, and optimizing machine learning components, particularly in the field of computer vision. This position offers an opportunity to contribute to innovative projects while collaborating with cross-functional teams to deliver high-quality, scalable solutions.

Responsibilities:
Develop and implement machine learning models for tasks such as object detection, image classification, and image quality assessment.
Write efficient, production-ready Python code following strong object-oriented design principles.
Work closely with system architects to integrate machine learning components into distributed, message-driven systems.
Create and maintain data-driven workflows for model training, evaluation, and feedback loops.
Optimize model performance to support near real-time applications with high throughput and low latency.
Participate in system-level design discussions to ensure scalability and long-term maintainability.
Collaborate with database, API, and DevOps teams to streamline deployment and testing processes.
Build robust frameworks and systems that go beyond proof-of-concept development.
Document all work thoroughly, including technical designs, diagrams, test plans, and best practices.
Establish effective working relationships with stakeholders, including technology teams, business owners, and clients.

Requirements

Proficiency in computer vision techniques and algorithms.
Strong experience with TensorFlow and other machine learning frameworks.
Solid understanding of machine learning principles and applications.
Expertise in object detection and image classification methods.
Familiarity with artificial intelligence concepts and their practical implementations.
Ability to write clean, efficient, and well-documented code in Python.
Experience in optimizing models for real-time workflows.
Excellent collaboration and communication skills to work effectively with diverse teams.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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