Artificial Intelligence Engineer

Skills:

Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Neural Networks, Data Mining, Algorithm Development, Statistical Analysis,

• Summary: We are seeking a highly skilled AI Software Engineer to design and develop cutting-
• edge AI solutions with a focus on audio and video processing. You will work closely with our
• product and engineering teams to create, optimize, and deploy machine learning models that
• enhance our multimedia systems.

Responsibilities

• Develop and implement AI models for real-time audio/video analysis, processing, and
• enhancement.
• Collaborate with software engineers to integrate AI systems into production
• environments.
• Optimize AI models for performance, scalability, and latency reduction in video/audio
• applications.
• Research and apply the latest algorithms and frameworks for audio/video machine
• learning.
• Maintain and improve the overall accuracy, reliability, and security of AI-powered
• solutions.
• Debug and troubleshoot AI-related issues during development and deployment.
• Collaborate with cross-functional teams to meet product and client requirements.

Requirements

• Bachelors degree in Computer Science, Artificial Intelligence, or a related field.
• 3+ years of experience in AI and machine learning, with a focus on audio/video
• processing.
• Strong programming skills in Python, C++ and C#.
• Experience with AI frameworks such as TensorFlow, PyTorch, or OpenCV.
• Familiarity with video codecs, streaming protocols, or multimedia frameworks.
• Knowledge of deep learning techniques for signal processing, audio/speech recognition,
• and video analysis.
• Strong understanding of cloud platforms (AWS, Azure, GCP) for AI model deployment.
• Experience with DevOps and MLOps for scalable AI solutions.
• Excellent problem-solving skills and ability to work collaboratively.

Preferred Qualifications

• Experience in the medical or audio/video industry.
• Understanding of real-time processing and latency optimization.
• Familiarity with edge computing for AI deployment