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Machine Learning Engineer

Job summary

Pleasanton
$50+
Software Developer

Work model

Hybrid
2 days ago
Job description

Immediate need for a talented Machine Learning Engineer. This is a 06+months contract opportunity with long-term potential and is located in Pleasanton, CA(Remote).

Please review the job description below and contact me ASAP if you are interested.

Job ID:26-22802

Pay Range: $50 - $58/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Requirements and Technology Experience:

  • Key Skills; Supervised or unsupervised learning algorithms

  • Neural networks, NLP

  • Python / R / SQL

  • Tensor Flow / Keras / PyTorch

  • Cloud platforms and technologies (MS Azure)

  • DevOps / MLOp

  • 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.

Our client is a leading Retail Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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