Company Description
Decrackle is a leader in audio-visual intelligence, driven by a mission to enhance quality audio and video experiences using cutting-edge AI technology. With expertise in generative AI and Large Language Models (LLMs), Decrackle provides an innovative multi-suite solution to address diverse audio-visual challenges. Our solutions empower businesses and individuals alike, delivering unparalleled results in the audio-visual domain.
Role Description
The Senior Deep Learning Deployment Engineer will play a crucial role in deploying and optimizing deep learning models to enhance Decrackle's AI-driven audio-visual solutions. This is a full time hybrid position based in Indore, offering a balance between on-site collaboration and remote work flexibility. The role includes developing model deployment pipelines, optimizing system performance, and collaborating with cross-functional teams to ensure scalability and efficiency.



The role also requires addressing challenges in production environments and implementing best practices in AI model deployment.
Qualifications
Proficiency in Deep Learning frameworks such as Tensor Flow and Py Torch
Experience with Model Deployment techniques including ONNX, Tensor RT, and Docker
Understanding of Cloud Platforms like AWS, Azure, or Google Cloud for AI deployments
Strong skills in Python and efficient coding practices
Knowledge of CI/CD pipelines and Dev Ops principles for deploying AI models
Familiarity with optimization techniques for performance and scalability
Experience in audio-visual intelligence applications is a plus
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

📌 Founding engineer (Narela)
🏢 Decrackle
📍 Narela