We are seeking a skilled Machine Learning Engineer specializing in video and audio-to-text event detection to join our remote team. This mid to senior-level position reports directly to the Engineering Lead or Head of ML. Candidates must be located in Oakistan to be considered for this role. The successful candidate will work on cutting-edge technologies to develop and optimize models that accurately detect and transcribe events from multimedia sources, contributing to innovative solutions in the field of multimedia analysis.
Key Responsibilities
- Design, develop, and deploy machine learning models focused on video and audio event detection and transcription.
- Collaborate closely with cross-functional teams including data scientists, software engineers, and product managers to integrate ML solutions into production systems.
- Analyze large-scale multimedia datasets to improve model accuracy and robustness.
- Continuously research and implement state-of-the-art techniques in audio and video processing.
- Optimize existing algorithms for performance and scalability in real-world applications.
- Participate in code reviews, documentation, and knowledge sharing within the engineering team.
- Troubleshoot and resolve issues related to ML model performance and deployment.
Required Qualifications
- Proven experience as a Machine Learning Engineer or similar role, with a focus on audio and video data processing.
- Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.
- Solid understanding of signal processing, natural language processing (NLP), and computer vision techniques.
- Experience with event detection, speech-to-text, or related multimedia transcription technologies.
- Ability to work independently and remotely while maintaining effective communication with the team.
- Bachelor’s or higher degree in Computer Science, Engineering, or a related technical field.
Preferred Qualifications and Benefits
- Advanced degree (Master’s or PhD) in Machine Learning, Artificial Intelligence, or a related discipline.
- Experience with cloud platforms and containerization technologies such as AWS, GCP, Docker, or Kubernetes.
- Familiarity with data annotation tools and processes specific to audio and video datasets.
- Knowledge of real-time streaming data processing and model deployment pipelines.
- Exposure to agile development methodologies and version control systems like Git.
We offer a dynamic and inclusive work environment where innovation is encouraged and professional growth is supported. You will have the opportunity to work on impactful projects that push the boundaries of multimedia event detection technology. Competitive compensation and flexible remote work arrangements are part of the package, ensuring a healthy work-life balance.
If you are passionate about advancing machine learning applications in multimedia and meet the location requirement, we encourage you to apply and join our forward-thinking team.
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