Machine Learning Engineer (Azure AIML) - Retail (Hybrid - San Francisco, CA)

We are seeking a Machine Learning Engineer to design, develop, deploy, and optimize machine learning solutions for one of our global retail clients. The ideal candidate will have strong expertise in supervised and unsupervised learning, deep learning, natural language processing (NLP), and modern MLOps practices. This role requires hands-on experience building scalable machine learning models and deploying them on Microsoft Azure.

This is a 40-hour per week, 6-month contract (possible extension), a hybrid role in San Francisco, CA.

This is a W2 role as a Stage 4 Solutions employee. Health benefits and a 401K are offered.

Responsibilities

Design, develop, and optimize machine learning models using supervised and unsupervised learning techniques.

Build and implement deep learning models, including neural networks, for a variety of business use cases.

Develop NLP solutions for text classification, information extraction, semantic analysis, and other language-based applications.

Write production-quality code using Python, R, and SQL for data processing, model development, and analytics.

Develop, train, and deploy machine learning models using TensorFlow, Keras, and/or PyTorch.

Deploy and manage machine learning workloads within Microsoft Azure cloud environments.

Implement DevOps and MLOps best practices to automate model training, deployment, monitoring, and lifecycle management.

Collaborate with data scientists, software engineers, and business stakeholders to deliver scalable AI solutions.

Monitor model performance and continuously improve model accuracy, reliability, and efficiency.

Maintain technical documentation and ensure adherence to coding and deployment standards.

Requirements

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.

5+ years of experience developing and deploying machine learning solutions.

Strong experience with supervised and unsupervised learning algorithms.

Hands-on experience with neural networks and Natural Language Processing (NLP).

Advanced programming experience using Python, R, and SQL.

Experience with machine learning frameworks including TensorFlow, Keras, and/or PyTorch.

Hands-on experience deploying machine learning solutions on Microsoft Azure.

Experience implementing DevOps and MLOps practices for model deployment and lifecycle management.

Please submit your resume to our network at https://www.stage4solutions.com/careers/ and apply to the Machine Learning Engineer (Azure AIML) - Retail (Hybrid - San Francisco, CA) role.

Please feel free to forward this opportunity to others who may be interested.

Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on job requirements and candidate qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic information, or other legally protected characteristics.

Compensation: $55/hr. - $60/hr.