Remote ML Engineer: NLP, PyTorch, Azure, MLOps

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

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.