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Job Summary

Job Title:
Senior Machine Learning Engineer
Employer:
Proxify AB
Location:
Remote, OR, USA
Country:
Remote Jobs
Contract Type:
Full Time
Job Category:
Software Development Jobs Remote
Number of Positions:
1
Deadline:
Thursday, 11 September 2025

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Senior Machine Learning Engineer job at Proxify AB | Apply Now

Remote, OR, USA

Full Time

Are you looking for IT remote jobs 2025 today? then you might be interested in Senior Machine Learning Engineer job at Proxify AB

Deadline: 

11 Sept 2025

About the Organisation

Proxify AB is a global platform that connects top developers with leading companies across the world. With a mission to eliminate geographical barriers to talent, Proxify provides developers with meaningful opportunities to advance their independent careers. Since its inception, Proxify has successfully supported over 5,000 developers, helping them secure roles with more than 1,200 satisfied clients. With excellent Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings, Proxify is trusted for its developer-focused approach and commitment to long-term success.

Job Title

Senior Machine Learning Engineer job at Proxify AB

Proxify AB

Job Description

The Senior Machine Learning Engineer will play a key role in building and deploying production-grade ML models that power real-time decision-making. The role involves designing scalable data pipelines, developing classification and prediction algorithms, integrating new data sources, and working cross-functionally with engineers, analysts, and stakeholders to improve system performance. This is a full-time remote position offering predictable work hours, competitive monthly compensation, and the opportunity to work with cutting-edge global companies.

Duties, Roles and Responsibilities

  • Design and implement scalable, reliable data pipelines for production.

  • Monitor, debug, and optimize deployed ML models.

  • Develop real-time classification and prediction algorithms to detect market conditions.

  • Research, analyze, and integrate new data sources to enhance model accuracy.

  • Collaborate with optimization engineers, traders, analysts, and software engineers to continuously improve system performance.

  • Write and maintain production code for local and cloud environments.

  • Ensure models and systems meet scalability, accuracy, and reliability standards.

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SERVICES

COMMERCIAL

SERVICES

INDUSTRIAL

SERVICES

RESIDENTIAL

Qualifications, Education and Competencies

  • Proven experience in developing machine learning models.

  • Strong analytical and problem-solving skills.

  • Proficiency in programming languages such as Python, R, and Java.

  • Experience with ML frameworks (e.g., TensorFlow, Keras).

  • Solid knowledge of statistics, data mining, and data analysis.

  • Familiarity with databases and data warehouses.

  • Excellent communication and interpersonal skills.

Nice to Have:

  • Ability to work comfortably within CET time zone (± 3 hours).

How to Apply

ONLY ONLINE APPLICATIONS:

Interested and qualified candidates are advised that all applications should be submitted online.

To apply please click on the APPLY button below.

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