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Ollang

AI-powered multilingual media localization platform

Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSarıyer/İstanbul, TürkiyeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • At least 3 years of experience in machine learning, artificial intelligence, or related fields.
  • Proficiency in Python and at least one machine-learning framework, such as TensorFlow, PyTorch, or Keras.
  • Familiarity with machine-learning model deployment, scaling, and monitoring.
  • Ability to design and implement machine-learning algorithms, evaluate their performance, and optimize them as needed.
  • Experience with data processing, feature engineering, and data visualization techniques.
  • Understanding of the ethical implications of artificial intelligence and machine learning, including fairness, accountability, and transparency.
  • Experience with reinforcement learning, unsupervised learning, or deep-learning techniques and their applications in real-world scenarios.
  • Strong problem-solving, communication, and collaboration skills.

Responsibilities

  • Design, develop, and implement machine-learning algorithms to solve complex problems and improve products and services.
  • Collaborate with cross-functional teams, using Python and machine-learning frameworks to create models that drive business growth.
  • Perform data processing, feature engineering, and data visualization.
  • Deploy, scale, and monitor machine-learning models.

Desired Qualifications

  • Experience with natural language processing, computer vision, or speech processing is a plus.
  • Eagerness to learn, innovate, and grow in a fast-paced environment.

About the Company

Ollang

AI-powered multilingual media localization platform

Ollang provides end-to-end media localization through its OLabs platform, which translates and adapts video, audio, documents, and user interfaces into 120+ languages. It uses a centralized workflow to manage projects and order services such as AI-enabled subtitling, dubbing, and closed captioning. The system blends artificial intelligence with a network of human translators in a human-in-the-loop model, with a multi-agent setup handling tasks like transcription and cultural adaptation. Its goal is to enable global distribution of multilingual content for streaming services, broadcasters, e-learning platforms, and creators, offering flexible subscriptions, pay-as-you-go options, and API access.

Company size
201-500
Company stage
Seed
Total funding
$1.6M
Headquarters
Wilmington, DE
Founded
2020

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