1 месяц назад
Machine Learning Developer (Gaming)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Developer (Gaming): Designing and optimizing machine learning models, data pipelines, and ML systems to improve game features and player experience with an accent on large-scale game data, cloud services, and model performance. Focus on integrating ML solutions into games, processing complex datasets with Big Data technologies, and researching advances in machine learning and artificial intelligence.
Location: On-site in Kraków, Małopolskie, Poland
Company
develops gaming experiences and is building innovative game-related products.
What you will do
- Design, develop, and optimize machine learning models that enhance game features and player experience.
- Implement and maintain data pipelines for collecting, processing, and analyzing large-scale game data.
- Collaborate with data scientists, game designers, and engineers to integrate ML solutions into games.
- Improve the performance and scalability of ML systems using cloud-based services.
- Monitor, test, and fine-tune models for accuracy and efficiency while ensuring data security and compliance.
- Research and apply advances in machine learning and artificial intelligence.
Requirements
- At least 2 years of experience designing and building machine learning systems.
- Strong programming skills in Python or a similar language.
- At least 1 year of experience with TensorFlow, PyTorch, or Scikit-learn.
- Experience with Apache Spark or Hadoop and other Big Data technologies.
- Experience with cloud-based machine learning services such as Amazon SageMaker or Google Cloud AI Platform.
- Very good command of English is required.
Culture & Benefits
- Mentorship, feedback, and career growth guidance.
- Knowledge sharing, employee development, and performance reviews.
- Top-notch equipment and a spacious office in the city center.
- Flexible working hours accommodating early or late schedules.
- Open kitchen with drinks, fruit, and snacks.
- Team gatherings and social activities.
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