12 Audio Processing Jobs nearby Kanchipuram

We are seeking a highly capable document processor to manage our documenting processes and systems. In this role, your duties will include organizing paper and electronic files, securely storing documents, as well as distributing documented materials. To ensure success as a document processor, you should demonstrate knowledge of document classification systems and ideally have experience in a similar role. An outstanding document processor will be detail-oriented and someone who can be relied upon to accurately process important documents. Document Processor Responsibilities: Receiving and processing incoming documents, including texts and audio-visual file formats. Organizing documents according to classification categories. Filing hardcopy documents and electronic file formats. Copying, scanning, faxing, and emailing documents. Storing documents and distributing documented materials to intended recipients. Securely discarding duplicate and obsolete documents. Archiving, retrieving, and distributing filed documents on request. Ordering and replenishing office supplies. Managing the maintenance and repair of office equipment. Performing other administrative duties, when required. Document Processor Requirements: High school diploma or GED. Qualification in office administration, secretarial work, or related training. An associate's degree in a relevant field will be advantageous. A minimum of 2 years experience as a document processor, or in a similar role. Proficiency in computer software, such as Microsoft Word, Excel, Media Player, and Outlook Express. Extensive experience in organizing, filing, archiving, and distributing documents. Knowledge of document classification categories and electronic filing systems. Experience working with office equipment, such as printers, copiers, scanners, and fax machines. Ability to securely store or discard documents and maintain confidentiality. Excellent organizational and communication skills.

Role Overview: You will be responsible for creating high-quality annotated datasets by accurately labeling text, images, audio, or video data. Your role involves ensuring data consistency, following project guidelines to support machine learning and AI model training. Key Responsibilities: - Lead and mentor team members to ensure high performance. - Provide daily performance reports to management and leadership. - Communicate effectively with clients and internal stakeholders. - Troubleshoot hardware and software issues efficiently. - Log, track, and escalate incidents as per defined protocols. - Follow and document SOPs and SLAs accurately. - Ensure quality assurance in service delivery. - Apply image processing skills using Photoshop or similar tools. - Maintain a keen eye for visual detail and perception. Qualifications Required: - B.Sc. / M.Sc. in Mathematics, Physics, Chemistry, or Computer Science. About the Company: UST is a global digital transformation solutions provider that has been working with the world's best companies for over 20 years. With over 30,000 employees in 30 countries, UST partners with clients from design to operation, embedding innovation and agility into their organizations to make a real impact through transformation.,

As an AI/ML Engineer, your role will involve translating business requirements into scalable and well-documented AI/ML pipelines using tools like Databricks, Azure AI, and Snowflake. You will design and deploy GenAI-powered applications with pretrained models for tasks such as text generation, summarization, code synthesis, and personalization. Building and orchestrating agentic AI workflows using frameworks like LangChain, OpenAI Agents SDK, and Databricks Genie will be part of your responsibilities, enabling autonomous task execution and multi-agent collaboration. Integrating GenAI models into enterprise applications with Human-in-the-Loop (HITL) validation and feedback loops for production readiness will also be crucial. Additionally, you will conduct model selection, fine-tuning, and evaluation using tools like MLflow, ONNX, and custom batch testing frameworks. Developing and maintaining data pipelines for feature engineering, model training, and inference using DBT, Spark, Airflow, and Azure Data Factory will be part of your day-to-day tasks. Monitoring and troubleshooting production deployments to address model drift, latency, and data quality issues will also fall under your purview. Ensuring responsible AI operations through governance, observability, and guardrail management using tools like Unity Catalog, Azure AI Guardrails, and OpenTelemetry will be essential. Qualifications required for this role include: - Bachelors degree in Computer Science, AI/ML, or a related quantitative field - 5 years of experience in AI/ML engineering, with hands-on exposure to GenAI, LLMs, NLP, and agentic architectures - Proven experience deploying enterprise-grade AI agents, including pre-launch testing, HITL workflows, and business UAT sign-off - Familiarity with multi-modal AI (text, image, audio) and unstructured data processing using Databricks Genie, AI Foundry, and AI Search - Experience working in agile, cross-functional teams and delivering measurable impact through automation and intelligent systems Preferred qualifications for this role include proficiency in languages like Python, PySpark, and SQL. Familiarity with GenAI & LLM Tools such as LangChain, LlamaIndex, Hugging Face Transformers, and Agentic Frameworks like LangGraph, Databricks Genie, and Azure AI Agent Orchestration. Experience with MLOps/LLMOps/AgentOps tools like MLflow, ONNX, DVC, Unity Catalog, CI/CD pipelines, as well as Data Engineering tools like DBT, Spark, Lakehouse, Azure Data Factory, and Snowflake. Observability & Governance tools such as OpenTelemetry, Databricks AI Gateway, and Azure Guardrails are also preferred.,

You will be part of the Logitech Hardware Audio DSP and ML team, focusing on developing and implementing real-time audio ML solutions to enhance customer audio experiences. Your expertise in Audio DSP and TinyML will play a crucial role in contributing to the development of innovative audio products at Logitech. - Develop models and inference on resource-constrained platforms like Tensilica DSP, ARM, and RISCV cores. - Optimize and enhance algorithm performance in real-world conditions, providing innovative solutions to challenging problems. - Collaborate with cross-functional product teams to ensure the delivery of seamless customer audio experiences. - Minimum 7 years of experience in audio signal processing product teams. - Hands-on experience in Tiny ML/Embedded ML, including porting neural network algorithms onto embedded targets. - Deep understanding of on-device quantization techniques and strong programming skills in C and Python. - Conceptual understanding of neural network operators mapping to embedded hardware accelerators. - Familiarity with Deep Learning Audio Signal Processing approaches for tasks like speech enhancement, noise suppression, and voice pickup.,

As an AI/ML Engineer, you will be responsible for the following: - 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. You will be the decision-maker in Build Vs Buy scenarios. - Drive innovation in AI/ML applications across various business domains and modalities such as vision, language, and audio. - Implement Best practices in AI/ML, MLOps, DevOps, and CI/CD for AI/ML projects. - Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption. Your qualifications should include: - Overall 5 to 7 years of experience, with at least 4 years in AI, ML, and Gen AI technologies. - Proven track record of leading and scaling AI/ML teams and initiatives. - Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications. - Expertise in ML frameworks such as PyTorch and/or TensorFlow. - Experience with ONNX runtime, model optimization, and hyperparameter tuning. - Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices with a Tech Stack including Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, and ELK stack. - Experience in production-level deployment of AI models at enterprise scale. - Proficiency in data preprocessing, feature engineering, and large-scale data handling. - Expertise in image and video processing, object detection, image segmentation, and related computer vision tasks. - Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications. - Experience with speech recognition, audio classification, and general signal processing techniques. - Familiarity with RAG, VectorDB, GraphDB, and Knowledge Graphs. - Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools such as AWS SageMaker, Azure ML, and Google Cloud AI.,

Role Overview: As an experienced software engineer at Logitech | G, you will have the exciting opportunity to lead the Audio Software Development team, focusing on developing and deploying audio features for gaming products. Your passion for gaming and audio technologies, along with expertise in writing high-quality code, will be instrumental in driving the architecture, design, and development efforts for new audio-related features. Working closely with firmware, software, design, and validation teams, as well as key stakeholders outside of Engineering, you will play a critical role in ensuring timely delivery of quality software solutions. Key Responsibilities: - Designing and developing key software components for Logitech's audio gaming peripherals - Collaborating with firmware and design teams to define software features and ensuring overall software quality with validation teams - Coordinating with cross-functional teams to align on software deliverables - Conducting technical reviews of system design and interface requirements, as well as code reviews - Providing guidance and feedback to peers, including mentoring junior developers - Creating unit tests and CI automation tests, and maintaining comprehensive design documentation Qualification Required: - 8+ years of software development experience - Strong design and development experience in C++, proficiency in Python is a plus - Familiarity with audio system technologies commonly used in headset, speaker, and microphone products - Experience with audio drivers and audio processing pipelines for Windows and macOS - Knowledge of audio testing methodologies - Understanding of the inter-dependencies between hardware, firmware, desktop and mobile applications, and cloud software - Strong problem-solving and troubleshooting skills, excellent written and verbal communication skills Education: - B.E in Computer Science/IT or a related technical field or equivalent industry experience (Note: No additional details of the company were found in the provided job description),

As an Assistant Video Editor for our client at Artifex HR, your role will involve assisting in the editing, processing, and enhancement of video content for various media platforms. You will work closely with senior video editors and production team members to ensure timely and high-quality delivery of video projects. **Key Responsibilities:** - Assist the video editing team in organizing and preparing raw footage for editing. - Edit video clips, add transitions, and enhance audio/visual quality. - Sync audio and video tracks, and perform basic color correction. - Maintain the media library by labeling, categorizing, and storing content properly. - Handle administrative tasks like managing file backups and project organization. - Collaborate in creating rough cuts and final video rendering. - Work with the creative team to understand project objectives and implement feedback effectively. **Qualifications Required:** - Proficiency in video editing software such as Adobe Premiere Pro, Final Cut Pro, or DaVinci Resolve. - Familiarity with audio editing and sound design. - Strong attention to detail and organizational skills. - Ability to work under tight deadlines and manage multiple tasks simultaneously. - Creative mindset with a willingness to learn and develop new skills. - Previous experience in video editing or relevant coursework is a plus. - Knowledge of graphic design or motion graphics is an added advantage. If you are a motivated individual with 2 years of experience in video editing, comfortable with day shift schedules, and possess a Bachelor's degree (preferred), we encourage you to reach out and explore this exciting opportunity by contacting 8667844103 or emailing saranya@artifexhr.com.,

As an AI Engineering Manager in Ford's Supply Chain Analytics Team, you will lead a small team and collaborate with experts globally to implement Agentic AI solutions. Your role will involve working on various products that leverage MCP to solve Supply Chain Problems across Ford globally. **Key Responsibilities:** - Design NLP/LLM/GenAI applications/products following robust coding practices. - Design Agentic AI Systems leveraging MCP protocol (or Google ADK). - Explore state-of-the-art models/techniques for automotive industry use cases. - Conduct ML experiments to train/infer models within memory & latency restrictions. - Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools. - Showcase NLP/LLM/GenAI applications effectively through web frameworks (Dash, Plotly, Streamlit, etc.). - Converge multibots into super apps using LLMs with multimodalities. - Develop agentic workflow using Autogen, Agentbuilder, langgraph, and MCP protocols. - Build modular AI/ML products for scalable consumption. **Qualifications Required:** - 5+ years of experience in AI engineering. - Master's Degree in Computer Science, Engineering, Maths, or Science. - Experience in LLM models like Gemini, GPT5, and more. - Proficiency in developing and deploying Agentic AI products leveraging MCP protocol. - Hands-on experience in building AI pipelines with multimodalities like text, image, and audio. - Familiarity with Docker tools and Python project management best practices. - Expertise in using Huggingface, LangChain, Chainlit, Tensorflow, Pytorch, Scikit-learn, Numpy, Pandas, and open-source NLP modules. - Knowledge of fundamental text data processing and implementing BERT or other transformer fine-tuned models. - Experience with GCP services, GPU/CPU cloud infrastructures, and cloud platforms for Data Engineering, Big Data, and ML needs. - Proficiency in CI/CD, infrastructure as code tools, orchestration tools, and building APIs with compliance and security. This role offers the opportunity to work with cutting-edge technologies and make a significant impact in the field of AI and Supply Chain Analytics at Ford.,

As an experienced professional in the field of AI and Machine Learning, you have worked in agile, cross-functional teams and have a track record of delivering measurable impact. Your educational background includes a Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Key Responsibilities: - Architect and deploy enterprise-scale AI/ML platforms such as GenAI, LLMs, agentic architectures, and MLOps/LLMOps. - Design, implement, and scale AI infrastructure using technologies like Databricks, Azure AI, Snowflake, Spark, Airflow, and related tools. - Utilize hands-on experience for production-grade model selection, fine-tuning, evaluation, and responsible AI governance. - Demonstrate strong programming skills in Python, PySpark, SQL, and proficiency with modern AI/ML frameworks like LangChain, Hugging Face, OpenAI Agents SDK. - Lead cross-functional teams to deliver measurable business impact through AI-driven solutions. - Integrate GenAI models into enterprise applications with Human-in-the-Loop (HITL) validation and feedback loops. - Work with multi-modal AI (text, image, audio) and unstructured data processing. Qualifications Required: - Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. - 8+ years of experience in architecting and deploying enterprise-scale AI/ML platforms. - Proven expertise in designing, implementing, and scaling AI infrastructure. - Strong programming skills in Python, PySpark, SQL, and experience with modern AI/ML frameworks. - Ability to lead cross-functional teams and deliver measurable business impact through AI-driven solutions. - Experience with integrating GenAI models into enterprise applications and familiarity with multi-modal AI and unstructured data processing. This job requires someone with a strong background in AI and Machine Learning, who can lead teams and drive business impact through innovative solutions.,

You are passionate about advancing the field of AI and speech processing. As an AI Scientist at Zudu AI, you will have the opportunity to design, build, and optimize cutting-edge speech and conversational AI models. Your work will involve a wide range of responsibilities, from research and development to system integration and experimentation. **Key Responsibilities:** - **Research & Development** - Develop and fine-tune speech recognition (ASR), text-to-speech (TTS), and natural language understanding (NLU) models. - Build multi-turn conversational AI systems capable of contextual reasoning, grounding, and emotional intelligence. - Explore and implement retrieval-augmented generation (RAG) and memory-based dialogue systems for long-term contextuality. - Research prosody, emotion, and style transfer in speech synthesis for natural human-like delivery. - Evaluate and integrate open-source models (e.g., Whisper, Bark, FastSpeech, VITS, GPT-family models). - **System & Data Integration** - Work closely with platform engineers to deploy models in low-latency, production-grade environments. - Optimize inference performance on cloud and edge systems using quantization, distillation, and caching strategies. - Collaborate with the voice pipeline team to align model outputs with telephony and CPaaS audio protocols. - **Experimentation & Evaluation** - Design and conduct experiments to benchmark accuracy, naturalness, latency, and engagement. - Lead data annotation and synthetic voice data generation projects to improve training quality. - Publish findings internally (and externally when possible) to maintain Zudu AI's leadership in enterprise voice automation. **Preferred Qualifications:** - Masters or Ph.D. in Computer Science, AI, Speech Processing, or Computational Linguistics. - Strong background in deep learning, transformer architectures, and reinforcement learning. - Hands-on experience with PyTorch, TensorFlow, or JAX. - Expertise in ASR, TTS, NLP, or Emotion-aware AI. - Understanding of LLM fine-tuning, prompt engineering, and retrieval systems. **Nice-to-Have:** - Prior experience in telephony or conversational AI products. - Contributions to open-source speech or NLP projects. - Understanding of low-latency voice streaming pipelines. - Exposure to emotion detection, sentiment analysis, or paralinguistic research. **Soft Skills:** - Curiosity and scientific rigor. - Ability to translate research into deployable, scalable solutions. - Collaborative mindset and excellent communication skills. Join Zudu AI in revolutionizing voice automation and contribute to building human-like AI agents that redefine customer interactions. You are passionate about advancing the field of AI and speech processing. As an AI Scientist at Zudu AI, you will have the opportunity to design, build, and optimize cutting-edge speech and conversational AI models. Your work will involve a wide range of responsibilities, from research and development to system integration and experimentation. **Key Responsibilities:** - **Research & Development** - Develop and fine-tune speech recognition (ASR), text-to-speech (TTS), and natural language understanding (NLU) models. - Build multi-turn conversational AI systems capable of contextual reasoning, grounding, and emotional intelligence. - Explore and implement retrieval-augmented generation (RAG) and memory-based dialogue systems for long-term contextuality. - Research prosody, emotion, and style transfer in speech synthesis for natural human-like delivery. - Evaluate and integrate open-source models (e.g., Whisper, Bark, FastSpeech, VITS, GPT-family models). - **System & Data Integration** - Work closely with platform engineers to deploy models in low-latency, production-grade environments. - Optimize inference performance on cloud and edge systems using quantization, distillation, and caching strategies. - Collaborate with the voice pipeline team to align model outputs with telephony and CPaaS audio protocols. - **Experimentation & Evaluation** - Design and conduct experiments to benchmark accuracy, naturalness, latency, and engagement. - Lead data annotation and synthetic voice data generation projects to improve training quality. - Publish findings internally (and externally when possible) to maintain Zudu AI's leadership in enterprise voice automation. **Preferred Qualifications:** - Masters or Ph.D. in Computer Science, AI, Speech Processing, or Computational Linguistics. - Strong background in deep learning, transformer architectures, and reinforcement learning. - Hands-on experience with PyTorch, TensorFlow, or JAX. - Expertise in ASR, TTS, NLP, or Emotion-aware AI. - Understanding of LLM fine-tuning, prompt engineering, and retrieval systems. **Nice-to-Have:** - Prior experience in telephony or conversational AI products. - Contributions to open-source speech or NLP projects. - Understanding of low-latency voice streaming pipeline

As a talented AI Audio Engineer at Brahma, you will play a crucial role in strengthening the expanding voice AI pipeline. Your refined ear for voice work will be essential in preparing and refining high-quality vocal data for model training and inference. Collaboration with AI engineers and development teams will be key to boosting the quality, realism, and performance of voice AI outputs. Key Responsibilities: - Clean and enhance audio: Use industry-standard tools like Pro Tools and Izotope to clean, mix, and enhance vocal tracks for optimal quality. - Manage audio datasets: Prepare and manipulate large audio datasets to support the training and improvement of voice AI models. - Collaborate across teams: Partner with development and modeling teams to refine voice model outputs and enhance overall quality. - Provide expert feedback: Assess the realism, clarity, and fidelity of AI-generated voices creatively, offering actionable insights for performance improvement. - Stay updated on trends: Keep abreast of the latest advancements in audio engineering and AI to continually enhance processes. Qualifications Required: - Proven experience as an audio engineer, focusing on voice work and vocal processing. - Expertise in mainstream audio tools such as Pro Tools, Izotope, and similar platforms. - Strong understanding of audio processing techniques like noise reduction, equalization, and compression. - Foundational knowledge of voice model training and an intuitive sense for optimization. - Excellent communication and teamwork skills to excel in a collaborative environment. About the Company: Brahma is a pioneering enterprise AI company that develops Astras, AI-native products to help enterprises and creators innovate at scale. Part of the DNEG Group, Brahma brings together leading creative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content.,

Role Overview: As a Senior Android Audio & DSP Engineer at Aptiv, you will play a crucial role in designing, developing, and integrating the complete audio subsystem on Android Automotive-based infotainment platforms. Your responsibilities will include Audio HAL customization, DSP pipeline integration, audio tuning, and end-to-end debugging across various use-cases such as voice, media, navigation, and projection. Key Responsibilities: - Design and implement Android Audio framework components including Audio HAL, Policy Manager, and Routing. - Integrate DSP-based audio processing pipelines such as Dirana, Qualcomm AudioReach, NXP SAF775x, TI TAS series, etc. - Define and maintain the signal-flow architecture from source to output for Mic DSP Speaker, BT, USB, and Projection. - Collaborate with platform teams on ACDB configuration, audio calibration, and DSP firmware loading. - Customize Audio HAL for automotive-specific routing and new use-cases. - Implement and validate A2DP, HFP, USB Audio, CarPlay, and Android Auto audio paths. - Integrate voice recognition and ECNR chains for Alexa, Google Assistant, etc. - Develop and tune audio post-processing algorithms including Volume Control, Tone Control, Loudness, Fader/Balance, SDVC, Limiter. - Support multi-zone audio and ANC/VESS feature integration. Qualification Required: - B.E / B.Tech / M.E / M.Tech in Electronics, Electrical, Communication, or Computer Science. Additional Details: At Aptiv, you will have the opportunity to grow in an inclusive work environment where safety is a core value. The company is committed to creating a safer world with zero fatalities, zero injuries, and zero accidents. Aptiv also provides support to ensure your well-being by offering resources for family care, competitive health insurance, higher education opportunities, life and accident insurance, Sodexo cards, well-being programs, access to fitness clubs, and a creche facility for working parents. Apply today and be part of shaping the future of mobility with Aptiv!,