Artificial Intelligence Engineer (Remote)
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Key skills for this role
About the Role
We are hiring a Machine Learning Engineer on a contractor basis to train next-generation AI systems. You will develop, train, and deploy ML models using TensorFlow and Scikit-learn, and collaborate with cross-functional teams.
Key Skills for This Role
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
Requirements
- 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
Full Job Posting
Role Overview
- 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
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.
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