Senior ML Engineer — Remote & Flexible Hours

Proxify; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

On-time payments

Flexible withdrawals

Predictable hours

8-hour days

Flex days off

Remote opportunities

Career growth

Exclusive long-term roles

Personalized matches

One-time contracting

Job summary

Proxify is seeking a Machine Learning Engineer with strong Python experience to join our remote network. You will design and deploy ML models that power real-world applications, building scalable data pipelines and production-ready code for cloud and on-premise environments.

You should have hands-on experience with PyTorch, TensorFlow, Scikit-learn, and MLOps tools, plus cloud platforms. This role is remote with international opportunities and offers reliable monthly payments and flexible

Qualifications

• Proven track record in building and deploying machine learning models to production.
• Strong Python programming skills and across the ML lifecycle.
• Experience with ML frameworks (PyTorch/TensorFlow/Scikit-learn).
• Familiarity with MLOps tools and cloud platforms (AWS/GCP/Azure).
• Solid knowledge of statistics, data analysis, and data mining techniques.
• Experience with databases and large-scale datasets.

Responsibilities

• Design and maintain scalable data pipelines and monitor models in production.
• Develop and optimize classification, prediction, and recommendation models.
• Research and integrate new data sources to improve model performance.
• Collaborate with engineers, product teams, and analysts to improve product performance.
• Write production-grade code for cloud and on-prem environments; ensure scalability.
• Contribute to MLOps practices, including CI/CD for ML and model lifecycle management.

Skills

Python

ML model production

ML frameworks

MLOps tools

Cloud platforms

Statistics

Data analysis

Large-scale datasets

Tools

PyTorch

TensorFlow

Scikit-learn

Keras

MLflow

Kubeflow

Airflow

AWS

GCP

Azure

Job description

Proxify is seeking a Machine Learning Engineer with strong Python experience to join our remote network. You will design and deploy ML models that power real-world applications, building scalable data pipelines and production-ready code for cloud and on-premise environments.

You should have hands-on experience with PyTorch, TensorFlow, Scikit-learn, and MLOps tools, plus cloud platforms. This role is remote with international opportunities and offers reliable monthly payments and flexible