21 Whisper Jobs

About the Role - We are looking for a Senior Software Engineer AI who is passionate about building intelligent systems that solve real-world problems. You'll work at the intersection of machine learning, large language models (LLMs), and backend engineering, turning research into production-ready systems. This is a hands-on engineering role with a strong emphasis on scalable AI integration, prompt engineering, RAG (retrieval-augmented generation), and building intelligent APIs and microservices. What You'll Do - ? Design and build AI-powered applications using LLMs (OpenAI, LLaMA, Mistral, etc.), vector databases, and embedding models ? Build scalable backend systems and APIs (Python, FastAP...

Role : Senior Data Scientist (Gen AI Developer) Experience : 5 to 7+ Years Location : Hyderabad Employment Type : Full-Time Work Mode : Hybrid (4 days in office, 1 day from home) Job Brief We are looking for a talented AI Engineer with hands-on experience in Speech-to-Text and Text Generation technologies to tackle a Conversational AI challenge for our client. The goal is to transcribe customer conversations and apply Generative AI for actionable insights that improve engagement strategies and support decision-making. You will be working with cutting-edge technologies like LLMs, NLP, and RAG pipelines to develop real-time transcription, summarization, intent recognition, and recommendation s...

We're building a GenAI-powered tool, which can literally be a game changer. Looking for a Founding AI Engineer to build this with me, from scratch. PLEASE READ FULLY BEFORE APPLYING! Who we're looking for: A Software Engineer / Builder / Hacker who: Is excellent with AI/ML , especially GenAI tools (OpenAI, LLM integrations, Whisper, Vision APIs, Langchain, vector DBs, etc.) Has experience with full-stack development (preferably React/Next.js + Node.js + Firebase/Cloudflare/GCP stack) Can build fast prototypes and ship robust MVPs Understands not just code, but product thinking Loves building stuff from scratch (even without a product manager breathing down your neck) Wants to co-create, not ...

Backend Engineer (3–5 yrs), Python+Django, REST, Postgres, AWS, Redis, GenAI/LLMs, Git, DevOps mindset, fast-paced env. Exp in JS/React, Cursor/Windsurf AI a plus. C2H via TE Infotech(Exotel), Convertible to Permanent, BLR. @ ssankala@toppersedge.com

Role Overview: You will be working as an AI Engineer with expertise in Speech-to-text and Text Generation to tackle a Conversational AI challenge for a client in EMEA. The project aims to transcribe conversations and utilize generative AI-powered text analytics for enhancing engagement strategies and decision-making processes. Key Responsibilities: - Developing Conversational AI & Call Transcription solutions - Creating NLP & Generative AI Applications - Performing Sentiment Analysis & Decision Support tasks - Handling AI Deployment & Scalability aspects - Working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools Qualifications Require...

As a Voice AI Engineer, you play a crucial role in shaping the next era of human-machine interaction, where seamless conversations take place in real-time with voice-first intelligence. Your responsibilities include: - Designing, building, and maintaining real-time audio communication pipelines using technologies such as WebSockets, Redis, and Django Channels. - Integration and optimization of Speech-to-Text (STT) and Text-to-Speech (TTS) engines for efficient communication. - Collaboration with cross-functional teams to embed Large Language Models (LLMs) like OpenAI, Claude, and Gemini into dynamic conversational flows. - Continuously monitoring, testing, and debugging production systems to...

As an AI Engineer at our company, your role will involve designing, developing, and deploying an in-house AI assistant powered by LLaMA 3 and integrated with our MS SQL-based ERP system (4QT ERP). You will be responsible for setting up LLM infrastructure, implementing voice input (Whisper), translating natural language to SQL, and ensuring accurate, context-aware responses to ERP-related queries. Key Responsibilities: - Setup and deploy LLaMA 3 (8B/FP16) models using llama-cpp-python or Hugging Face - Integrate the AI model with FastAPI to create secure REST endpoints - Implement prompt engineering or fine-tuning (LoRA) to enhance SQL generation accuracy - Develop a user-facing interface (Re...

Role Overview: As an AI Prototyping Engineer at Veya Technologies Pvt Ltd, you will be responsible for building conversational and voice-based AI prototypes using GPT, LangChain, Whisper, and vector databases. Your role will involve working closely with the founders to develop MVPs, evaluate tools, and document technical demos. Key Responsibilities: - Develop prototypes such as Therapy Bot, Voice Coach, Interviewer Bot, Legal Advice Bot, and HR Bot. - Integrate GPT APIs, LangChain, embeddings, Whisper, and vector DBs. - Evaluate build vs. buy tools for efficiency. - Document PoCs, maintain Git, and collaborate on MVPs. Qualifications: - Bachelor's degree in CS, AI/ML, Engineering, or a relat...

Job Title: AI Audio Developer Location : Bangalore Job Category: Regular Joining : Immediate Max 30 days Job Description We are looking for a highly motivated and skilled AI Audio/Speech Developer to join our team in Bangalore. The ideal candidate should be capable of working independently and possess strong expertise in building AI and Deep Learning (DL) models from scratch . The role demands the ability to translate research papers into working code and contribute to cutting-edge audio AI solutions. Experience 2-4 years of experience in development with 2+ years of experience in Audio and ML/DL Training, fine tuning and optimization of different flavors of transformer models Hands-on exper...

As a member of our team, your primary responsibility will be the development and training of foundational models across various modalities. You will be involved in the end-to-end lifecycle management of foundational model development, starting from data curation to model deployment, by collaborating closely with core team members. Your role will also entail conducting research to enhance model accuracy and efficiency, as well as implementing state-of-the-art AI techniques in Text/Speech and language processing. Collaboration with cross-functional teams will be essential as you work towards building robust AI stacks and seamlessly integrating them into production pipelines. You will be expect...

Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow/Keras framework Variations of CNN, RNN, Attention Mechanism, Transformers and large models like wav2vec, whisper Proficiency in machine learning/audio pre-processing libraries/frameworks such as Librosa, Kaldi, sklearn, python speech features, Numpy, Scipy, Pandas, Matplotlib. Signal Processing fundamentals, understanding the data characteristics and wave signals Transfer Learning Experience in Acoustic models for speech recognition systems. Experience in Voice activity detection with noise analysis & denoising Experience in WakeupWord, ASR Working experience of LLM fine tuning, optimization and performance improvement.

As a Speech Architect, you will lead the development of cutting-edge speech recognition and processing systems, focusing on complex tasks such as speaker diarization, automatic speech recognition (ASR), Sentiment/Emotion recognition, and transcription. You will guide a team of engineers and collaborate closely with other departments to deliver high-impact solutions. Lead and mentor a team of speech engineers, providing technical guidance and ensuring the successful delivery of projects. Architect and design end-to-end speech processing pipelines, from data acquisition to model deployment, ensuring systems are scalable, efficient, and maintainable. Develop and implement advanced machine learn...

Skills Required: ML Engineer Strong Python programming skills Hands-on experience with TensorFlow, especially in training custom models/modules Experience working with OpenAI's Whisper ASR (Automatic Speech Recognition) model Following is the skillset: Primary Skills - Llama, Whisper, DistilBert, Spacy, any document database, any vector database, model training and finetuning Secondary Skills TensorFlow, any agentic framework

Design & implement end-to-end speech analytics pipelines for production environments Develop ASR engines using state-of-the-art frameworks (Wav2vec, Whisper, Deep Speech) with PyTorch or TensorFlow

What will you do Voice AI Stack Ownership: Build and own the end-to-end voice bot pipeline ASR, NLU, dialog state management, tool calling, and TTS to create a natural, human-like conversation experience. LLM Orchestration & Tooling: Architect systems using MCP (Model Context Protocol) to mediate structured context between real-time ASR, memory, APIs, and the LLM. RAG Integration: Implement retrieval-augmented generation to ground responses using dealership knowledge bases, inventory data, recall lookups, and FAQs. Vector Store & Memory: Design scalable vector-based search for dynamic FAQ handling, call recall, and user-specific memory embedding. Latency Optimization: Engineer low-latency, s...

As a GenAI Developer at Vipracube Tech Solutions, you will be responsible for developing and optimizing AI models, implementing AI algorithms, collaborating with cross-functional teams, conducting research on emerging AI technologies, and deploying AI solutions. This full-time role requires 5 to 6 years of experience and is based in Pune, with the flexibility of some work from home. Your key responsibilities will include fine-tuning large language models tailored to marketing and operational use cases, building Generative AI solutions using various platforms like OpenAI (GPT, DALLE, Whisper) and Agentic AI platforms such as LangGraph and AWS Bedrock. You will also be building robust pipeline...

What You ll Do Design & Build: Develop mutli-agent AI systems for the UCaaS platform, focusing on NLP, speech recognition, audio intelligence and LLM powered interactions. Rapid Experiments: Prototype with open-weight models (Mistral, LLaMA, Whisper, etc.) and scale what works. Code for Excellence: Write robust code for AI/ML libraries and champion software best practices. Optimize for Scale & Cost: Engineer scalable AI pipelines, focusing on latency, throughput, and cloud costs. Innovate with LLMs: Fine-tune and deploy LLMs for summarization, sentiment and intent detection, RAG pipelines, multi-modal inputs and multi-agentic task automation. Own the Stack: Lead multi-agentic environments fr...

Job Title : Python Developer - AI Automation Location : Remote or On-site (Preferred: Hyderabad) Employment Type : Full-time Experience Level : 3+ years Compensation : Competitive (Based on experience) Start Date : Immediate Note from Hiring Manager: We need someone with 2-3 years of python coding experience with AWS cloud/GCP/Azure work experience in recent. We have the idea, we need someone who can support us in writing the code. About the Role: We are seeking a dedicated and skilled Python Developer to join our fast-growing AI-based interview automation platform, autonomously conducts interviews over Zoom using cutting-edge technologies like OpenAI, ElevenLabs, Deepgram, and JobDiva APIs....

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Key Responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retriev...

What would you do? System Design: Architect and design end-to-end speech processing pipelines, from data acquisition to model deployment. Ensure systems are scalable, efficient, and maintainable. Advanced Modeling: Develop and implement advanced machine learning models for speech recognition, speaker diarization, and related tasks. Utilize state-of-the-art techniques such as deep learning, transfer learning, and ensemble methods. Research and Development: Conduct research to explore new methodologies and tools in the field of speech processing. Publish findings and present at industry conferences. Performance Optimization: Continuously monitor and optimize system performance, focusing on acc...

Role & responsibilities Build Audio ML/DL models for given requirement Build models from scratch wherever required Must be able to code relevant research papers independently Tune to improve accuracy and latency Support to satisfy the deployment requirements of the product Apply transfer learning wherever required Training, fine tuning and optimization of different flavors of transformer models Hands on experience with LLM, fine tuning and Optimization of LLM Audio AI Modelling and tuning experience Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow/Keras framework Variations of CNN, RNN, Attention Mechanism, Transformers and large models like wav2vec, whisper Proficiency in m...