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60 Edp Machine Learning Engineer Jobs Hiring Near You

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

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 ...

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 ...

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...

Our client, a American Multinational Clothing and Accessories Retailer company, is looking for a Machine Learning Engineer for their Pleasanton, CA/Remote location. Requirements: * Proficiency in ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Machine Learning Engineer

Seattle, WA · On-site

$95 - $135/hr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Showing results 41-60

Machine Learning Engineer

eTeam Inc

Pleasanton, CA • Remote

Contractor

Re-posted 2 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