Data Science Engineer - IV Voice & Speech Tanla Platforms Limited

5.0 - 9.0 years

0 Lacs

hyderabad, telangana

On-site

We are looking for a highly experienced Voice AI /ML Engineer to take the lead in designing and deploying real-time voice intelligence systems. This position specifically involves working on ASR, TTS, speaker diarization, wake word detection, and developing production-grade modular audio processing pipelines to support next-generation contact center solutions, intelligent voice agents, and high-quality audio systems. You will be operating at the convergence of deep learning, streaming infrastructure, and speech/NLP technology, with a focus on creating scalable, low-latency systems that cater to diverse audio formats and real-world applications. Your responsibilities will include: - Building, fine-tuning, and deploying ASR models such as Whisper, wav2vec2.0, and Conformer for real-time transcription. - Developing high-quality TTS systems using VITS, Tacotron, FastSpeech for natural-sounding voice generation. - Implementing speaker diarization to segment and identify speakers in multi-party conversations using embeddings and clustering techniques. - Designing wake word detection models with ultra-low latency and high accuracy even in noisy conditions. In addition to the above, you will also be involved in: - Architecting bi-directional real-time audio streaming pipelines utilizing WebSocket, gRPC, Twilio Media Streams, or WebRTC. - Integrating voice AI models into live voice agent solutions, IVR automation, and AI contact center platforms. - Building scalable microservices for audio processing, encoding, and streaming across various codecs and containers. - Leveraging deep learning and NLP techniques for speech and language tasks. Furthermore, you will be responsible for: - Developing reusable modules for different voice tasks and system components. - Designing APIs and interfaces for orchestrating voice tasks across multi-stage pipelines. - Writing efficient Python code, optimizing models for real-time inference, and deploying them on cloud platforms. Join us to be part of impactful work, tremendous growth opportunities, and an innovative environment at Tanla, where diversity is championed and inclusivity is valued.,

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Intern Computer Vision Scene and Activity Understanding Conxai Technologies GmbH

0.0 - 4.0 years

0 Lacs

haryana

On-site

CONXAI's AI platform analyzes construction data to deliver insights and automate workflows. The No-Code Agentic AI offered by CONXAI helps construction firms enhance project control and prevent knowledge loss. As a full-time intern in our team, you will be involved in addressing cutting-edge computer vision and deep learning challenges in product development. Your main responsibilities will include collaborating with the team to understand and solve computer vision/deep learning problems, developing and implementing ML solutions which involve data preprocessing, model design, and performance evaluation, integrating solutions into the codebase using strong software engineering practices, and effectively communicating results and analysis. To be successful in this role, you should be pursuing (or have completed) a PhD/Master's degree in Computer Science from the IITs or another Tier 1 university. You should have experience in training and evaluating Deep Learning models in PyTorch and specifically ViTs, a good understanding of basics in machine learning and computer vision, including representation learning. Additionally, experience in training and fine-tuning Deep Learning architectures for tasks such as Object Detection, Instance Segmentation, Image Captioning, Temporal activity detection, and Large Vision Language Models is required. Knowledge of Unsupervised Learning and Active Learning is also beneficial. Proficiency in Python and good software engineering skills are essential for this role. You should possess good communication and interpersonal skills, be able to work in a team-oriented environment, have strong problem-solving skills, and be fluent in English. This internship offers a unique opportunity to apply your academic knowledge and skills in real-world applications, collaborate with experts, and continue learning and growing in the field of computer vision and deep learning.,

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