Remote ML Engineer – Scale Models & MLOps

Cloudstaff Philippines Inc.; Philippines; Remote; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Health insurance

Leave credits

Flexible leave

PC provided

Internet connection

Career advancement

Salary review

Employee Share Units

Wellness program

Job summary

Cloudstaff Philippines invites a seasoned Machine Learning Engineer to join our team in the Philippines. You will develop and deploy models at scale, build training pipelines, and collaborate with data scientists and software engineers to deliver reliable AI solutions.

The role emphasizes MLOps, model deployment, monitoring, and ongoing experimentation. We offer a supportive environment, competitive compensation, and extensive perks that support growth and well-being.

Qualifications

• 4+ years of machine learning or AI engineering experience.
• Strong Python and ML framework expertise.
• Experience with TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of MLOps and model deployment practices.
• Familiarity with cloud platforms and containerization.
• Experience with SQL and large-scale datasets.
• Strong statistical and analytical skills.

Responsibilities

• Develop and deploy machine learning models at scale.
• Build training pipelines and model monitoring solutions.
• Engineer features and optimize model performance.
• Collaborate with data scientists and software engineers.
• Automate model deployment and lifecycle management.
• Support AI innovation through continuous experimentation.

Skills

Python

ML frameworks

MLOps

Cloud platforms

Containers

SQL

Statistics

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Cloudstaff Philippines invites a seasoned Machine Learning Engineer to join our team in the Philippines. You will develop and deploy models at scale, build training pipelines, and collaborate with data scientists and software engineers to deliver reliable AI solutions.

The role emphasizes MLOps, model deployment, monitoring, and ongoing experimentation. We offer a supportive environment, competitive compensation, and extensive perks that support growth and well-being.