Hybrid Senior ML Engineer — Production ML & MLOps

Mouamah AI; United States; Hybrid; USD 15,000 - 23,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Mouamah AI in Algiers is seeking an experienced Machine Learning Engineer to turn research into production-ready capabilities that are measurable and maintainable.

You will develop and evaluate models, build inference services, and define tests and quality metrics while collaborating with product, data, and platform teams to deploy AI at scale. Candidates should have 5+ years in ML, a CS/AI degree, strong Python skills, and understanding of MLOps and experimentation.

Qualifications

• At least five years of experience in machine learning or AI, incl. production models.
• Bachelor’s or Master’s degree in computer science, AI, or related field.
• Proficiency in Python and modern ML frameworks.
• Understanding of MLOps, evaluation methods, and experiments.
• Strong problem-solving and technical communication skills.

Responsibilities

• Develop and evaluate machine learning models and workflows.
• Build services for model inference, monitoring, and optimization.
• Create test suites and define measures for model quality and safety.
• Work with product, data, and platform teams to bring AI capabilities into use.
• Help ensure deployed models perform reliably in real operating environments.

Skills

Python

ML frameworks

MLOps

Model evaluation

Technical communication

Education

Bachelor's or Master's in CS/AI

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Mouamah AI in Algiers is seeking an experienced Machine Learning Engineer to turn research into production-ready capabilities that are measurable and maintainable.

You will develop and evaluate models, build inference services, and define tests and quality metrics while collaborating with product, data, and platform teams to deploy AI at scale. Candidates should have 5+ years in ML, a CS/AI degree, strong Python skills, and understanding of MLOps and experimentation.