Machine Learning Engineer

Pyramid Consulting, Inc; Pleasanton (CA); On-site; USD 68,880 - 79,900; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid sick leave

Job summary

Pyramid Consulting, Inc. is seeking an experienced Machine Learning Engineer for a 6+ month contract in Pleasanton, CA (Remote). The role focuses on building, deploying, and optimizing ML models using Python, R and SQL with TensorFlow, Keras, and PyTorch on Azure.

You will collaborate with cross-functional teams to deliver scalable ML solutions, contribute to DevOps/MLOps practices, and ensure smooth production deployment in a retail-focused environment.

Qualifications

• Expertise in supervised and unsupervised learning algorithms.
• Proficiency in Python, R and SQL with ML frameworks.
• Knowledge of cloud platforms and technologies, specifically Microsoft Azure.
• Experience in DevOps and MLOps practices.

Responsibilities

• Develop, deploy and optimize machine learning models for various applications.
• Collaborate with data scientists and engineers to productionize models.
• Monitor model performance and retrain as needed.
• Contribute to CI/CD pipelines and automation for ML workflows.

Skills

Supervised learning

Unsupervised learning

Neural networks

NLP

Python

R

SQL

TensorFlow

Keras

PyTorch

Azure

DevOps

MLOps

Tools

TensorFlow

Keras

PyTorch

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).

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.

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.