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Deep Audio Coding Optimization & Deployment Engineer Job Opening In India, India – Now Hiring IMR Soft LLC


Job description

<p><p><b>Job Title:</b> Deep Audio Coding Optimization & Deployment Engineer (P4)<br/><br/><b>Location:</b> Sydney, Australia (in-office preferred / remote accepted)<br/><br/>- Open to APAC (with overlap to Sydney time zone)<br/><br/>- LATAM & Europe are also acceptable<br/><br/>- Eastern Europe may be challenging<br/><br/><b>Duration:</b> 1+ Year Contract (40 hrs/week)<br/><br/><b>Summary : </b><br/><br/>We are looking for a Deep Audio Coding Optimization & Deployment Engineer to design and implement optimization strategies for training, refining, and deploying deep learningbased audio coding models.<br/><br/>The role involves model compression (quantization, pruning, distillation), custom deployment for mobile inference engines, and performance optimization in a reference implementation environment.<br/><br/>You will collaborate with cross-functional teams to integrate optimized models into standards and refine methods for performance evaluation.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Develop and implement algorithms/software for efficient offline training and real-time inference of deep audio coding models.<br/><br/>- Monitor and evaluate model performance in production, optimizing for accuracy, speed, size, and compute efficiency.<br/><br/>- Optimize AI models for deployment as standards reference code.<br/><br/>- Profile and test reference code in mobile architectures.<br/><br/>- Design and implement tooling/strategies for optimized model development and deployment.<br/><br/>- Collaborate with product managers, engineers, and researchers to integrate optimized models into workflows.<br/><br/><b>Requirements :</b><br/><br/>- Masters or PhD in Electrical Engineering, Computer Science, or related field with 4+ years experience in deep learning.<br/><br/>- Strong background in AI/ML theory and practice, with recent deep learning experience.<br/><br/>- Experience with audio codecs and digital signal processing (audio/speech focus).<br/><br/>- Hands-on with model optimization for constrained environments (pruning, quantization, distillation, etc.<br/><br/>- 3+ years of experience with ML frameworks (PyTorch, ONNX, NNAPI, TensorFlow, etc.<br/><br/>- 3+ years programming in Python, C/C++, or MATLAB.<br/><br/>- Familiarity with embedded systems, computer architecture, and high-performance computing.<br/><br/>- Knowledge of optimizing ML models for inference using hardware acceleration (a plus).<br/><br/>- Strong software engineering practices (VCS, CI/CD).<br/><br/>- Excellent problem-solving, analytical, and teamwork skills.<br/><br/>- Strong written and verbal communication skills.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Deep Audio Potential: Insight & Career Growth Guide


Real-time Deep Audio Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Deep Audio in India, India, highlighting market share and opportunities for professionals in Deep Audio roles.

1985 Jobs in India
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7. Obeying India laws and regulations

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To prepare for your Deep Audio Coding Optimization & Deployment Engineer interview at IMR Soft LLC, research the company, understand the job requirements, and practice common interview questions.

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