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کد آگهی: KP3940186473
استخدام کارشناس ارشد یادگیری ماشین (Senior ML Engineer-دورکاری)
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هوش مصنوعی پیمایش | Mytrek
در تهران
دورکاری
اطلاعات شغل:
امکان دورکاری و کار در منزل: دارد
نوع همکاری: تمام‌وقت
مدرک تحصیلی مورد نیاز: کارشناسی - فوق‌لیسانس
مهارت‌های مورد نیاز:
یادگیری ماشین
NLP
Python
بازه حقوق: از 50,000,000 تومان
پرداخت‌ها: از ۵۰,۰۰۰,۰۰۰ تومان
متن کامل آگهی:
Benefits
- Salary from 1200 to 1700 USD during probation time and higher after the probation period
- possibility of migration to our UAE or Oman Office after probation time
- Working with talented and experienced founding team
- This is a remote work. our team is all around the world :)
Role Overview:
We are seeking a talented Machine Learning Engineer to design, develop, and optimize machine learning models that drive our adaptive learning system. You will work closely with our software engineers and product team to implement intelligent algorithms that enhance user engagement, personalize content, and improve learning outcomes.
Key Responsibilities:
- Design, develop, and deploy machine learning models to power adaptive learning experiences.
- Build and maintain knowledge graphs and recommendation systems to improve content personalization.
- Implement NLP and deep learning techniques to analyze and categorize educational content.
- Optimize ML models for scalability, efficiency, and real-time performance.
- Monitor and fine-tune ML models based on user feedback and system performance.
- Stay up-to-date with the latest advancements in machine learning, AI, and education technology.
- Build and maintain knowledge graphs, taxonomies, and ontologies to improve content personalization and recommendation systems.
Required Qualifications:
- Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with recommendation systems, knowledge graphs, taxonomies, ontologies, and NLP techniques.
- Strong understanding of data structures, algorithms, and optimization techniques.
- Familiarity with cloud platforms (AWS, GCP, or Azure) for deploying ML solutions.
- Ability to work in a collaborative, fast-paced environment with a product-focused mindset.
Preferred Qualifications:
- Experience in EdTech or developing AI-driven learning platforms.
- Knowledge of reinforcement learning, Bayesian methods, or graph neural networks.
- Hands-on experience with MLOps practices for model deployment and monitoring.
- Understanding of human learning patterns and adaptive learning methodologies.
- Strong background in designing and implementing ontologies and taxonomies to structure educational content effectively.
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سه‌شنبه 6 فروردین 1404، ساعت 11:50