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Hire Feed

Artificial Intelligence Engineer (Remote)

Hire Feed · United States

  • Hybrid
  • Contract
  • $208,000 / year
  • United States
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Job highlights

  • Train next-generation AI systems for real-world problems.
  • Develop and deploy ML models using TensorFlow, Scikit-learn.
  • Perform data preprocessing, cleaning, and feature engineering.
  • Collaborate with cross-functional teams on ML solutions.
  • Refine and document model performance and deployment.

About the role

Artificial Intelligence Engineer (Remote)

We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contractor basis. As a Machine Learning Engineer, you will apply your expertise to help train next-generation AI systems, shaping how models learn, reason, and perform through high-quality, real-world input. Your work will contribute to the development of frontier AI models that address real-world business problems in various domains such as finance, healthcare, engineering, and more.

Key Responsibilities:

  • Develop, train, and deploy machine learning models using TensorFlow and Scikit-learn to address real-world business problems.
  • Conduct comprehensive data preprocessing, including data cleaning, transformation, and feature engineering to ensure high-quality inputs for model development.
  • Collaborate with data scientists, data engineers, and business analysts to understand requirements and translate them into scalable ML solutions.
  • Continuously monitor, evaluate, and refine model performance to ensure accuracy, efficiency, and reliability in production environments.
  • Document model development, deployment, and performance to facilitate knowledge sharing and future improvements.

Required Skills & Qualifications:

  • Strong understanding of machine learning concepts, including supervised and unsupervised learning, neural networks, and deep learning.
  • Proficiency in TensorFlow and Scikit-learn for building and deploying machine learning models.
  • Experience with data preprocessing, including data cleaning, transformation, and feature engineering.
  • Excellent collaboration and communication skills to work with cross-functional teams.
  • Strong problem-solving skills to identify and resolve complex technical issues.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the AI industry, contributing to the development of next-generation AI systems that address real-world business problems. You will have the chance to apply your expertise to shape how models learn, reason, and perform, and collaborate with a global network of experts in the field.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Key skills/competency:

  • Machine Learning
  • AI Systems
  • TensorFlow
  • Scikit-learn
  • Data Preprocessing
  • Model Development
  • Deep Learning
  • Neural Networks
  • Problem Solving
  • Collaboration

Skills & topics

  • Artificial Intelligence Engineer
  • Machine Learning
  • AI Systems
  • TensorFlow
  • Scikit-learn
  • Data Preprocessing
  • Model Development
  • Deep Learning
  • Neural Networks
  • Remote

How to get hired

  • Tailor your resume: Highlight your machine learning, TensorFlow, and Scikit-learn expertise.
  • Showcase problem-solving: Provide examples of complex technical issues you've resolved.
  • Emphasize collaboration: Detail experiences working with data scientists and engineers.
  • Prepare for technical interviews: Brush up on ML concepts and coding challenges.

Technical preparation

Master TensorFlow and Scikit-learn functionalities.,Practice data cleaning and feature engineering techniques.,Review supervised and unsupervised learning algorithms.,Build and deploy a sample ML model project.

Behavioral questions

Describe a complex ML problem you solved.,How do you collaborate with cross-functional teams?,How do you ensure model performance and reliability?,Share an experience documenting a technical process.

Frequently asked questions

What is the work arrangement for the Artificial Intelligence Engineer role at Hire Feed?
The Artificial Intelligence Engineer role at Hire Feed is fully remote, allowing you to work from anywhere. This provides flexibility and removes geographical barriers to employment.
What are the primary tools used by the Artificial Intelligence Engineer at Hire Feed?
The primary tools for the Artificial Intelligence Engineer role include TensorFlow and Scikit-learn for developing, training, and deploying machine learning models.
What kind of projects can I expect as an AI Engineer at Hire Feed?
As an AI Engineer, you will train next-generation AI systems, develop ML models for real-world business problems in finance, healthcare, and engineering, and contribute to the development of frontier AI models.
Does Hire Feed consider candidates with diverse backgrounds for the AI Engineer position?
Yes, Hire Feed is an Equal Opportunity Employer and hires based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history.
What is the expected compensation for the Artificial Intelligence Engineer role?
The compensation for the Artificial Intelligence Engineer role ranges from $30 to $100 per hour, reflecting the contractor basis of this position.