PARSEC MEDIA

PARSEC MEDIA

60 jobs near Columbus, OH

Machine Learning Engineer Location: Pleasanton, CA 94588 (Remote) Duration: 6 Months Description: Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

About Multi Media, LLC Multi Media, LLC is a global technology company operating a high-traffic ... The Role We are looking for a Senior Machine Learning Engineer to join our Artificial Intelligence ...

Machine Learning Engineer Location: Pleasanton, CA 94588 (Remote) Duration: 6 Months Description: Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in ...

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

... media, and the web. We are singularly devoted to helping our customers protect their greatest ... Machine Learning Engineer Location : Sunnyvale, CA, USA, Hyderabad, A.P., India , Athens, Greece ...

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview ...

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity ...

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Machine Learning Engineer

Pleasanton, CA • Remote

Contractor

Re-posted 22 days ago


Job description

Job Title: Machine Learning Engineer
Location: Pleasanton, CA 94588 (Remote)
Duration: 6 Months
Description:

Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language processing (NLP). Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps practices is also necessary to streamline model deployment and management processes. This role involves leveraging these skills to develop, deploy, and optimize machine learning models for various applications.
SKILLS:
- Supervised or unsupervised learning algorithms
- Neural networks, NLP
- Python / R / SQL
- Tensor Flow / Keras / PyTorch
- Cloud platforms and technologies (MS Azure)
- DevOps / MLOps