Senior ML Engineer (Python)

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

About us:

Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction.

Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.

Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

The Role:

We are looking for Machine Learning Engineers with strong Python experience to join our fast-growing Network. You will play a key role in designing and deploying machine learning solutions that power modern applications and enhance user experiences.

What we are looking for:

• Proven track record in building and deploying machine learning models to production.
• Strong Python programming skills (experience with R or Java is a plus). Python is your primary working language, and you are comfortable using it across the full ML lifecycle.
• Experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Keras).
• Familiarity with MLOps tools (MLflow, Kubeflow, Airflow) and cloud platforms (AWS, GCP, or Azure).
• Solid knowledge of statistics, data analysis, and data mining techniques.
• Experience with databases, data warehouses, and large-scale datasets.
• Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

Responsibilities:

• Design and maintain scalable, reliable data pipelines and monitor models in production.
• Develop and optimize classification, prediction, and recommendation models applied to real-world business problems.
• Research and integrate new data sources to enhance model performance and accuracy.
• Collaborate with software engineers, product teams, analysts, and other stakeholders to improve product performance.
• Write production-grade code for cloud and on-premise environments, ensuring scalability and robustness.
• Contribute to MLOps practices, including CI/CD for ML, monitoring, and model lifecycle management.

What we offer:

• Get paid, not played
• No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options
• Predictable project hours
• Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.
• Flex days, so you can recharge
• Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.
• Career-accelerating positions at cutting-edge companies
• Discover exclusive long-term remote positions at the world's most exciting companies.
• Hand-picked opportunities just for you
• Skip the typical recruitment roadblocks and biases with personally matched positions.
• One seamless process, multiple opportunities
• A one-time contracting process for endless opportunities, with no extra assessments.

Compensation

Enjoy the same pay, every month with positions landed through Proxify.