Senior Machine Learning Engineer
Proxify AB · Anywhere in the World · posted 1 year ago
The Role: Senior Machine Learning Engineer
What We’re Looking For
- Proven experience in developing and deploying machine learning models.
- Strong analytical and problem-solving abilities.
- Proficiency in Python, R, or Java.
- Hands-on experience with ML frameworks like TensorFlow or Keras.
- Solid understanding of data mining, statistics, and data analysis.
- Familiarity with databases and data warehouses.
- Excellent communication and collaboration skills.
- Must be located within CET ±3 hours time zone.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and monitor deployed ML models.
- Build real-time classification and prediction algorithms to detect new market conditions.
- Research and analyze new data sources to enhance model accuracy.
- Collaborate closely with engineers, analysts, and stakeholders to improve system performance.
- Write clean, production-ready code for both local and cloud environments, and optimize for reliability and speed.
What We Offer
- Get paid, not played: Reliable, on-time monthly payments with flexible withdrawal options.
- Predictable project hours: Enjoy stable 8-hour workdays and a balanced work-life routine.
- Flex days to recharge: Take up to 24 paid flex days annually.
- Career acceleration: Long-term remote roles with cutting-edge global companies.
- Tailored opportunities: Skip lengthy recruitment hurdles—get matched to roles that fit your skills.
- One simple process, endless possibilities: A single contracting process gives you access to multiple exciting opportunities.
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