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Machine Learning Engineer

Job in Pleasanton, Alameda County, California, 94566, USA
Listing for: Pyramid Consulting, Inc
Full Time position
Listed on 2026-08-02
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 50 - 58 USD Hourly USD 50.00 58.00 HOUR
Job Description & How to Apply Below

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).

Job
-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 / Py Torch
  • Cloud platforms and technologies (MS Azure)
  • Dev Ops / 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 Tensor Flow, Keras, and PyTorch.
  • Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial.
  • Experience in Dev Ops 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.

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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