Machine Learning Engineer Needed for Model Development, Training & Deployment

Posted 3 weeks ago

Worldwide

Summary

Title: Machine Learning Engineer Needed for Model Development, Training & Deployment Description: We are looking for an experienced Machine Learning Engineer to help design, build, train, and deploy machine learning models for real-world applications. The ideal candidate should have strong Python skills and hands-on experience with modern machine learning and deep learning frameworks such as PyTorch, TensorFlow, and FastAI. Responsibilities: Building and training machine learning and deep learning models Working with large datasets using Pandas, NumPy, and data preprocessing techniques Developing ML solutions using PyTorch, TensorFlow, or FastAI Evaluating, optimizing, and improving model performance Preparing models for deployment in production environments Collaborating with developers to integrate ML models into existing systems Requirements: Strong experience with Python programming Hands-on experience with PyTorch, TensorFlow, and/or FastAI Strong knowledge of Pandas, NumPy, data cleaning, and preprocessing Experience with model training, evaluation, optimization, and deployment Understanding of APIs and cloud-based deployment is a plus Ability to communicate clearly and deliver clean, reliable work Ideal Candidate: We are looking for someone who has practical experience building ML solutions, not just experimenting in notebooks. The ideal freelancer should be able to take a model from development to deployment and explain their process clearly

  • $90.00

    Fixed-price
  • Expert
    Experience Level
  • Remote Job
  • Ongoing project
    Project Type
Skills and Expertise
Mandatory skills
Python
Activity on this job
  • Proposals:15 to 20
  • Last viewed by client:2 weeks ago
  • Hires:
    1
  • Interviewing:
    0
  • Invites sent:
    0
  • Unanswered invites:
    0
About the client
Member since Nov 2, 2013
  • Hong Kong
    New Territories10:13 AM
  • $290 total spent
    2 hires, 2 active

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