4 Speech Technologies Jobs

Tarento is a fast-growing technology consulting company with a headquarters in Stockholm and a strong presence in India, serving clients globally. Specializing in digital transformation, product engineering, and enterprise solutions across various industries such as retail, manufacturing, and healthcare, our teams merge Nordic values with Indian expertise to deliver innovative and high-impact solutions. Recognized as a Great Place to Work, we boast an inclusive culture, strong leadership, and a commitment to employee well-being and growth. Joining Tarento means being part of a collaborative environment that values ideas, fosters continuous learning, and builds careers driven by passion and purpose. As the Lead Software Engineer / Tech Lead at Tarento, you will serve as a hands-on technical leader guiding a team of engineers in designing, developing, and delivering critical components of Bhashini 2.0. Your responsibilities include ensuring technical excellence, maintaining code quality, and upholding architectural guidelines within your domain while actively contributing to code development and mentoring team members. Your key responsibilities will include leading the technical design and implementation of microservices and features within your assigned domain, writing high-quality and secure code primarily using Python (Flask), conducting code reviews, decomposing complex product features into actionable technical tasks, acting as a technical subject matter expert, collaborating with the Lead Technical Architect, mentoring junior and mid-level engineers, and working closely with Product Owners and Scrum Masters for effective feature delivery. Must-Have: - 5+ years of software development experience, with a minimum of 2 years in a technical lead or senior engineering role. - Strong hands-on proficiency in Python, particularly with web frameworks like Flask. - Extensive experience in designing, developing, and consuming RESTful APIs. - Proven expertise with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB). - Familiarity with message queuing systems (e.g., Kafka) for event-driven architectures. - Experience with containerization (Docker) and deploying applications on Kubernetes. - Solid understanding of software design patterns, data structures, and algorithms. - Familiarity with DevOps practices and collaboration with operations teams. - Strong problem-solving skills, attention to detail, and a commitment to delivering high-quality software. - Excellent communication and interpersonal skills, with a proven ability to lead and motivate a technical team. Good to Have: - Experience with frontend technologies (e.g., JavaScript frameworks) to understand full-stack implications. - Exposure to AI/ML development principles, especially in NLP or Speech technologies. - Experience in a fast-paced, agile development environment (Scrum/Kanban). - Contributions to open-source projects.,

Widely considered to be one of the technology world's most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. NVIDIA's technology is at the heart of the AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, and intelligent assistants. Come join the team and see how you can make a lasting impact on the world! We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. NVIDIA is looking for a highly experienced Senior Software Engineer, to build the next generation Multimodal Conversational AI systems, driven by world class high performance Speech and LLM models, orchestrated by Multimodal AI Agents, creating seamless experiences for our Digital Human solutions.If you're creative and passionate about solving real world Conversational AI problems, come join us. You can check https://build.nvidia.com/nvidia/digital-humans-for-customer-service for a glimpse of what you could be working on. What You'll Be Doing Architect, implement and optimize reliable low latency full duplex conversation pipelines and dialog systems, that excel across various application areas and challenging environments. Build and benchmark cascaded and unified speech-to-speech models and systems that reflect real human conversations. Designing, implementing and testing domain specific agents and workflows and a framework which can support multi-turn, multi-modal, multi-user conversations with LLM driven agents. Analyze RAG and conversational AI agent end to end accuracy and limitations and recommend the next course of action & Improvements. Characterize performance and quality metrics across platforms for various AI and system components Collaborate with various teams on new product features and improvements of existing products. Customize and integrate the conversational AI framework with other NVIDIA products Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews and help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment. What We Need To See Bachelor's degree or Master's degree (or equivalent experience) in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math 10+ years of experience, with a very good hands-on exposure to building solutions that touch various technology areas that cover Speech, LLM, RAG and Agents. Excellent programming skills in Python and/or C++, with ability to debug complex asynchronous systems Deep understanding of various Speech technologies like VAD, ASR, TTS, Translation, End-to-End Speech Models, etc. to build conversation systems. Experience working with RAG and LLM based applications as a key part of building Dialog and Q & A systems. Additional exposure to LLM function calling, Information Retrieval, Vector Databases, Embedding and Rerank models, autonomous agents etc.is welcome. Understanding of scalable deployment of multiple microservices involving Speech components, LLM driven RAG and Agent applications in production environment Experience working with protocol and transports like HTTP REST, gRPC, Websockets, WebRTC, etc. Hands on experience with building microservices and client-server applications. Familiarity with Docker, helm, kubernetes etc. Experience of working on end to end Software lifecycle, release packaging & CI/CD pipeline General background around version control and code review tools like Git, Gerrit, Gitlab. Ways To Stand Out From The Crowd Strong fundamentals in Programming, Optimizations and Software design Experience of working with open source frameworks like LangChain, LlamaIndex for building LLM driven applications Strong knowledge of ML/DL techniques, algorithms and tools with exposure to Speech and Language Models Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT Background with deploying machine learning models on data center, cloud, and embedded systems NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Widely considered to be one of the technology world's most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. NVIDIA's technology is at the heart of the AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, and intelligent assistants. Come join the team and see how you can make a lasting impact on the world! We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. NVIDIA is looking for a highly experienced Senior Software Engineer, to build the next generation Multimodal Conversational AI systems, driven by world class high performance Speech and LLM models, orchestrated by Multimodal AI Agents, creating seamless experiences for our Digital Human solutions.If you're creative and passionate about solving real world Conversational AI problems, come join us. You can check https://build.nvidia.com/nvidia/digital-humans-for-customer-service for a glimpse of what you could be working on. What You'll Be Doing Architect, implement and optimize reliable low latency full duplex conversation pipelines and dialog systems, that excel across various application areas and challenging environments. Build and benchmark cascaded and unified speech-to-speech models and systems that reflect real human conversations. Designing, implementing and testing domain specific agents and workflows and a framework which can support multi-turn, multi-modal, multi-user conversations with LLM driven agents. Analyze RAG and conversational AI agent end to end accuracy and limitations and recommend the next course of action & Improvements. Characterize performance and quality metrics across platforms for various AI and system components Collaborate with various teams on new product features and improvements of existing products. Customize and integrate the conversational AI framework with other NVIDIA products Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews and help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment. What We Need To See Bachelor's degree or Master's degree (or equivalent experience) in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math 10+ years of experience, with a very good hands-on exposure to building solutions that touch various technology areas that cover Speech, LLM, RAG and Agents. Excellent programming skills in Python and/or C++, with ability to debug complex asynchronous systems Deep understanding of various Speech technologies like VAD, ASR, TTS, Translation, End-to-End Speech Models, etc. to build conversation systems. Experience working with RAG and LLM based applications as a key part of building Dialog and Q & A systems. Additional exposure to LLM function calling, Information Retrieval, Vector Databases, Embedding and Rerank models, autonomous agents etc.is welcome. Understanding of scalable deployment of multiple microservices involving Speech components, LLM driven RAG and Agent applications in production environment Experience working with protocol and transports like HTTP REST, gRPC, Websockets, WebRTC, etc. Hands on experience with building microservices and client-server applications. Familiarity with Docker, helm, kubernetes etc. Experience of working on end to end Software lifecycle, release packaging & CI/CD pipeline General background around version control and code review tools like Git, Gerrit, Gitlab. Ways To Stand Out From The Crowd Strong fundamentals in Programming, Optimizations and Software design Experience of working with open source frameworks like LangChain, LlamaIndex for building LLM driven applications Strong knowledge of ML/DL techniques, algorithms and tools with exposure to Speech and Language Models Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT Background with deploying machine learning models on data center, cloud, and embedded systems NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Job Opening: Conversational AI Lead Location : Kalyani Nagar, Pune (Work from Office) Company : AM Infoweb Pvt. Ltd. Notice Period: Immediate Joiners or Maximum 1 Month About Us AM Infoweb is a fast-growing digital transformation partner delivering next-gen tech solutions. We are looking for a Conversational AI Lead to join our team and drive the development of advanced voice bot solutions from scratch using cutting-edge technologies like LLM and Machine Learning. Role: Conversational AI Lead Key Responsibilities: Lead the design and development of voice bots from scratch. Work extensively with Conversational AI technologies and tools. Utilize LLMs (Large Language Models) and Machine Learning for intelligent dialogue flow creation. Implement Text-to-Speech (TTS) and Speech-to-Text (STT) systems. Collaborate with cross-functional teams to integrate AI solutions with business needs. Write clean and scalable code, primarily in Python. Ensure performance, scalability, and security of voice applications. Requirements: Minimum 2 years of hands-on experience in Conversational AI. Proven experience in developing and deploying voice bots. Strong knowledge of LLM and ML frameworks. Expertise in TTS and STT systems and their integrations. Proficient in Python programming. Bachelors degree in Computer Science, Engineering, or a related field is mandatory. Strong problem-solving and communication skills. Must be open to work from office (Kalyani Nagar). Comfortable with self-travel (No cab facility provided). Why Join Us? Opportunity to lead innovation in Conversational AI. Work with a talented and tech-savvy team. Be part of impactful projects shaping the future of voice technology. If you're passionate about AI, voice tech, and Python and ready to lead we’d love to hear from you. Contact: Ruben Pawar- 7030396637 ruben.pawar@aminfoweb.co.in