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AI/ML engineer- Remote must have skills TensorFlow, ExTerch, Hugging Face, Docker and Kubernetes

Salary undisclosed

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AI/ML engineer-Remote

Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Proven experience in Al application development and integration, particularly with open source LLMs.
Proficiency in Java or similar.
Familiarity with machine learning frameworks and tools like TensorFlow, ExTerch.
Hugging Face, etc
Strong understanding of API design and integration methods.
Experience with cloud services and infrastructure for deploying Al models
Excellent problem-solving skills and ability to work in a fast-paced environment.
Strong communication skills and ability to work collaboratively in a team.
Preferred Skills:
Experience with containerization technologies like Docker and Kubernetes.
Knowledge of data engineering and data pipelines
Prior experience in deploying Al models in production environments
Understanding of computer vision, natural language processing (NLP) and its applications.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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AI/ML engineer-Remote

Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Proven experience in Al application development and integration, particularly with open source LLMs.
Proficiency in Java or similar.
Familiarity with machine learning frameworks and tools like TensorFlow, ExTerch.
Hugging Face, etc
Strong understanding of API design and integration methods.
Experience with cloud services and infrastructure for deploying Al models
Excellent problem-solving skills and ability to work in a fast-paced environment.
Strong communication skills and ability to work collaboratively in a team.
Preferred Skills:
Experience with containerization technologies like Docker and Kubernetes.
Knowledge of data engineering and data pipelines
Prior experience in deploying Al models in production environments
Understanding of computer vision, natural language processing (NLP) and its applications.
has context menu

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job