ꯊꯕꯛ꯫
ꯄꯥꯔꯇꯅꯔ ꯐꯤꯗꯇꯒꯤ꯫
Senior ML Engineer (Python)
ꯔꯤꯛꯕꯦꯁ꯭ꯠ ꯇꯧꯔꯕꯥ ꯃꯇꯨꯡꯗꯥ ꯃꯃꯜ꯫
ꯑꯀꯨꯞꯄꯥ ꯃꯔꯣꯂꯁꯤꯡ꯫
- ꯊꯕꯛ ꯄꯤꯕꯒꯤ ꯃꯈꯜ꯫
- ꯐꯨꯜ ꯇꯥꯏꯝ ꯑꯣꯏꯅꯥ ꯊꯕꯛ ꯇꯧꯕꯥ꯫
- ꯔꯤꯃꯣꯠ ꯇꯧꯕꯥ꯫
- ꯍꯣꯌ꯫
- ꯀꯝꯄꯦꯅꯤ ꯑꯁꯤꯅꯥ ꯑꯦꯟ.ꯗꯤ.ꯑꯦ
- Proxify
ꯃꯁꯛ ꯈꯪꯗꯣꯀꯄꯥ꯫
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/)
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/)
ꯂꯤꯁ꯭ꯠ ꯑꯁꯤ ꯄꯥꯔꯇꯅꯔ ꯐꯤꯗ ꯑꯃꯗꯒꯤ ꯂꯥꯀꯏ꯫ ꯁꯣꯔꯁ ꯋꯦꯕꯁꯥꯏꯠꯇꯥ ꯑꯦꯞꯂꯥꯏ ꯇꯧꯕꯤꯌꯨ꯫
ꯁꯣꯔꯁ꯫: Proxify
Proxifyꯅꯥ ꯄꯤꯕꯥ ꯂꯤꯁ꯭ꯠ꯫
