Senior ML Engineer (Python)

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.

Source: Working Nomads (https://www.workingnomads.com/job/go/2007932/)