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Applied AI Engineer - ML Expert

Mercor

Canada · On-site Part-time From $100/hr 4d ago

About the role

• *About The Job** • *Mercor**

connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include • *Benchmark**

, • *General Catalyst**

, • *Peter Thiel**

, • *Adam D'Angelo**

, • *Larry Summers**

, and • *Jack Dorsey**

. • *Position:**

Applied AI Engineer • *Type:** • *Contract** • *Compensation:** • *$100/hour** • *Role Responsibilities** • Design, develop, and implement AI models and algorithms. • Collaborate with cross-functional teams to integrate AI solutions into products. • Analyze and preprocess data for model training. • Optimize model performance and scalability. • Stay updated with the latest AI research and technologies. • *Qualifications** • *Must-Have** • Proven experience in AI/ML development. • Proficiency in Python and AI frameworks such as TensorFlow or PyTorch. • Strong understanding of machine learning algorithms and data structures. • Excellent problem-solving skills and attention to detail. • Ability to work independently and in a team environment. • *Application Process (Takes 20–30 mins to complete)** • Upload resume • AI interview based on your resume • Submit form • *Resources & Support** • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome • For any help or support, reach out to: support@mercor.com • PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*

,

Requirements

  • Proven experience in AI/ML development.
  • Proficiency in Python and AI frameworks such as TensorFlow or PyTorch.
  • Strong understanding of machine learning algorithms and data structures.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and in a team environment.

Responsibilities

  • Design, develop, and implement AI models and algorithms.
  • Collaborate with cross-functional teams to integrate AI solutions into products.
  • Analyze and preprocess data for model training.
  • Optimize model performance and scalability.
  • Stay updated with the latest AI research and technologies.

Skills

AI/ML developmentPythonTensorFlowPyTorchMachine learning algorithmsData structures

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