Remote ML Engineer at Proxify - CET Timezone — Columbus
Traveler-Friendly Insight
Timezone Constraint: CET ±3 Hours — This is the most critical factor for digital nomads evaluating this role. CET (UTC+1/+2 in summer) ±3 hours means you must be working from roughly UTC-2 to UTC+5. This rules out most of the Americas and Asia-Pacific, but opens up a wide nomad-friendly corridor.
Viable nomad destinations within the allowed timezone window:
- Lisbon, Portugal (UTC+0/+1): Falls squarely within the zone. Cost of living is moderate (~€1,800–2,500/month for a comfortable lifestyle). Portugal's Digital Nomad Visa (D8) is an excellent fit for longer stays.
- Tbilisi, Georgia (UTC+4): Barely within the +3 limit. Very low cost of living (~$1,000–1,500/month). Georgia offers visa-free stays up to 1 year for most nationalities.
- Istanbul, Turkey (UTC+3): Right at the edge of the allowed window. Affordable (~$1,200–1,800/month) with a vibrant coworking scene.
- Berlin or Warsaw: Core CET locations for those preferring established European hubs with strong tech communities.
Schedule structure: The role promises consistent 8-hour working days, suggesting it is not fully async — expect some real-time collaboration with European-hours clients. The 24 flex days off annually (~2 days/month) give meaningful travel flexibility without unpaid gaps.
No equipment stipend or coworking allowance is mentioned explicitly, so budget accordingly if working from coliving or coworking spaces.
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 1,200+ happy clients to build their products and growth features. 5,000+ 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) — applications from candidates in other time zones cannot be considered.
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 to recharge: Up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.
- Career-accelerating positions: Discover exclusive long-term remote positions at the world's most exciting companies.
- Hand-picked opportunities: Skip 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.
- Consistent compensation: Enjoy the same pay, every month with positions landed through Proxify.
Frequently Asked Questions
Is this a fully remote position?
What is the timezone requirement for this ML Engineer role?
What ML frameworks and tools are required?
How many days off do I get, and are they paid?
Does Proxify pay a salary, and how does compensation work?
