H

Artificial Intelligence Engineer

HyperBeans
Full-time
On-site
Indore, Madhya Pradesh, India
₹80,000 - ₹100,000 INR monthly
Technology

Job description


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:

• Bachelor’s 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