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Trainee Machine Learning Testing Jobs (NOW HIRING)

Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

CI/CD pipelines and regression testing • AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language ...

Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... Establish testing methodologies and performance metrics to validate models across real-world usage ...

They are seeking an experienced Machine Learning Engineer to develop and deploy machine learning ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...

CI/CD pipelines and regression testing. * AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language ...

Support experimentation, evaluation, testing, and continuous improvement of AI systems * Stay current with emerging AI, LLM, and machine learning technologies Required Experience / Ideal Background ...

They are seeking a Machine Learning Engineer to join their Offline Infrastructure team, where the ... testing • Partner with ML engineers to support experimentation and model iteration • Help ...

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Trainee Machine Learning Testing information

What are the most commonly searched types of Machine Learning Testing jobs? The most popular types of Machine Learning Testing jobs are:

Full-time

Re-posted 26 days ago


Job description

ML Engineer
Preferred location - Seattle USA
Skillsets:
Must have:
Azure Machine Learning - building , training, testing models
Python Programming & associated libraries (scikit learn, PyTorch, TensorFlow etc)
Nice to have:
Understanding of ML algorithms, frameworks and libraries, statistical modeling, and predictive analytics techniques.
Knowledge of open source model repositories like hugging face.
Knowledge of inference runners for evaluating model performance.
Develop and maintain the machine learning system and platform, including training, inference, pipeline orchestration.
Knowledge on Azure ML SDK or the Azure ML Studio.