Artificial Intelligence Engineer (Remote)
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Key skills for this role
About the Role
Hire Feed is hiring a Machine Learning Engineer on a contract basis to train next-generation AI systems. The role involves developing and deploying ML models using TensorFlow and Scikit-learn, with a focus on data preprocessing and collaboration.
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 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.
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