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Need Machine Learning Operations Engineer - New York

Salary undisclosed

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Role: Machine Learning Operations Engineer

Location: Remote

Duration: Long term

JD:

As a Senior Machine Learning Operations (MLOps) Engineer, you will be instrumental in deploying robust, scalable machine learning solutions.

You will ensure these are tailored to meet the expansive needs of CVS Health s varied healthcare services.

This role demands a high level of proficiency in machine learning technologies and programming, coupled with rigorous vetting processes to maintain the highest standards of data integrity and security

Strong track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe.

Proficiency in data science tools such as Pandas, Notebooks, Numpy, Scipy.

Experience with both relational and non-relational databases.

Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace.

Knowledge of model analysis and experimentation frameworks such as MLFlow, W&B, and tfma is preferred.

Comfortable with a Linux environment and stringent data security practices.

Must pass a rigorous vetting process, including extensive background checks to ensure the highest standards of data security and integrity.

Regards,

Radiantze Inc

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

Role: Machine Learning Operations Engineer

Location: Remote

Duration: Long term

JD:

As a Senior Machine Learning Operations (MLOps) Engineer, you will be instrumental in deploying robust, scalable machine learning solutions.

You will ensure these are tailored to meet the expansive needs of CVS Health s varied healthcare services.

This role demands a high level of proficiency in machine learning technologies and programming, coupled with rigorous vetting processes to maintain the highest standards of data integrity and security

Strong track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe.

Proficiency in data science tools such as Pandas, Notebooks, Numpy, Scipy.

Experience with both relational and non-relational databases.

Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace.

Knowledge of model analysis and experimentation frameworks such as MLFlow, W&B, and tfma is preferred.

Comfortable with a Linux environment and stringent data security practices.

Must pass a rigorous vetting process, including extensive background checks to ensure the highest standards of data security and integrity.

Regards,

Radiantze Inc

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