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Machine Learning Engineer & AI Platform Developer

Job in Herndon, Fairfax County, Virginia, 22070, USA
Listing for: Data Freelance Hub
Full Time position
Listed on 2026-02-27
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Job Overview

This role is for a Machine Learning Engineer & AI Platform Developer, remote for over 6 months, offering a competitive pay rate. Key skills include Python, AWS, and machine learning libraries. Requires 3+ years' experience and a degree in a related field.

Job Title

Machine Learning Engineer & AI Platform Developer

Location

Remote

Employment Type

Full-Time

Job Description

We are looking for a talented Machine Learning Engineer & AI Platform Developer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models and AI applications. You will work closely with data scientists, software engineers, and other stakeholders to implement AI solutions that meet business needs.

Key Responsibilities
  • Design and develop machine learning models and AI platforms to solve complex problems.
  • Work with large datasets to preprocess, analyze, and derive insights using machine learning techniques.
  • Implement and deploy scalable machine learning solutions using cloud platforms (e.g., AWS, GCP, Azure).
  • Collaborate with cross‑functional teams to integrate machine learning models into existing applications.
  • Optimize and monitor model performance, making improvements as necessary.
  • Stay current with emerging AI technologies and best practices to drive continuous improvement.
  • Document processes, code, and model performance for future reference.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
  • Proven experience as a Machine Learning Engineer or similar role (3+ years preferred).
  • Strong programming skills in Python, R, or Java, and experience with machine learning libraries (e.g., Tensor Flow, PyTorch, Scikit‑learn).
  • Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying AI solutions.
  • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
  • Solid understanding of algorithms, data structures, and software engineering principles.
  • Excellent analytical, problem‑solving, and communication skills.
  • Ability to work collaboratively in a fast‑paced environment.
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