Senior Artificial Intelligence Developer

We're revolutionizing language barriers to create a globalized world of media and entertainment.

Our mission has led us to transcreate over 2 million minutes worth of content into more than 60 languages, achieving 3.5+ billion views worldwide.

About Our Team

We've partnered with leading online streaming services like Netflix and YouTube, the entertainment sector, including ATV and TRT World, production companies such as Ay Yapim and W4tch.TV, content creators like Marina Mogilko, and e-learning platforms like ClassDojo.

Our team is growing rapidly with an elite panel of investors like JIMCO, DAI, Orkun Isitmak, Hande Enes, Merzigo-KEY, Osman Alp Arli, Koray Bahar.

Culture and Values

Ollang's culture is built on freedom, empowerment, innovation, imagination, creativity, and self-discipline.

The Role

We're seeking a skilled Machine Learning Engineer to join our founding team and contribute to our success.

This individual will design, develop, and implement cutting-edge machine learning algorithms to solve complex problems and improve our products and services.

Collaboration with cross-functional teams, utilizing expertise in Python and various machine-learning frameworks, is essential for creating models that drive business growth.

Data processing, feature engineering, data visualization, and seamless deployment, scaling, and monitoring of ML models are key responsibilities.

A strong problem-solving, communication, and collaboration skillset is required for contributing to ongoing innovation and growth in a dynamic and fast-paced environment.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 3+ years of experience in machine learning, artificial intelligence, or related fields
• Proficiency in Python and at least one machine-learning framework (TensorFlow, PyTorch, Keras, etc.)
• Experience with NLP, computer vision, or speech processing is a plus
• Familiarity with ML model deployment, scaling, and monitoring
• Ability to design and implement machine learning algorithms, evaluate their performance, and optimize as needed
• Experience with data processing, feature engineering, and data visualization techniques
• Understanding of the ethical implications of AI 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
• Eagerness to learn, innovate, and grow in a fast-paced environment

Perks

We offer a flat organization structure, opportunities to work globally, a wide range of training courses, and rich referral programs.