0.0 years

0 Lacs

bengaluru, karnataka, india

Remote

Brahma is a pioneering enterprise AI company developing Astras, AI-native products built to help enterprises and creators innovate at scale. Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliver standout content with speed and efficiency. Part of the DNEG Group, Brahma brings together Hollywoods leading creative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content. We are looking for a Gen AI Researcher for Audio to join our team and help develop next-generation voice synthesis models. You&aposll research and build deep learning systems that can generate expressive, natural-sounding speech from text or audio prompts, and collaborate with cross-functional teams to integrate your work into production-ready pipelines. Key Responsibilities Research and develop state-of-the-art voice synthesis models (e.g., TTS, voice cloning, speech-to-speech). Build and fine-tune models using frameworks like PyTorch and HuggingFace. Design training pipelines and datasets for scalable voice model training. Explore techniques for emotional expressiveness, multilingual synthesis, and speaker adaptation. Work closely with product and creative teams to ensure models meet quality and production constraints. Stay on top of academic and industrial trends in speech synthesis and related fields. Must Haves Strong background in machine learning and deep learning, with focus on speech/audio. Hands-on experience with TTS, voice cloning, or related voice synthesis tasks. Proficiency with Python and PyTorch; experience with libraries like torchaudio, ESPnet, or similar. Experience training models at scale and working with large audio datasets. Familiarity with vocoders and transformer-based architectures. Strong problem-solving skills, ability to work autonomously in a remote-first environment. Nice to Have PhD degree in Computer Science/ Machine Learning and publications in top venues. Contributions to open-source speech research or participation in relevant benchmarks. Familiarity with adjacent areas like lip-syncing, audio-driven animation, or expressive speech control. Experience with voice datasets or proprietary pipelines. Show more Show less

Posted 4 days ago

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Senior Generative AI Engineer Dreampath Services

7.0 - 9.0 years

0 Lacs

hyderabad, telangana, india

On-site

Position: Senior LLM Engineer Experience: 7+ Years (with minimum 2+ years in transformer-based models & NLP) Location: Hyderabad Job Type :: Contract 2 Hire Job Description We are seeking a highly skilled Senior LLM Engineer with strong expertise in Large Language Models (LLMs) and advanced Natural Language Processing (NLP) tasks. The ideal candidate will have hands-on experience working with transformer-based architectures and the ability to design, fine-tune, and deploy state-of-the-art NLP solutions. Key Responsibilities Design, develop, and optimize LLM-powered applications for text generation, summarization, question answering, classification, and translation. Fine-tune and adapt pre-trained transformer models (GPT, BERT, T5, RoBERTa, etc.) to domain-specific datasets . Implement prompt engineering techniques including zero-shot, few-shot, and many-shot learning to maximize model accuracy. Create reusable prompt templates for diverse use cases and ensure adaptability across contexts. Apply chain-of-thought (CoT) prompting for complex reasoning and problem-solving tasks. Continuously evaluate, test, and refine prompts to ensure output consistency and reliability. Mitigate issues related to biases, hallucinations, and knowledge cutoffs in model outputs. Collaborate with cross-functional teams to design and deploy scalable NLP/LLM solutions into production. Ensure high-quality deliverables using standard NLP evaluation metrics (BLEU, ROUGE, etc.). Must-Have Skills 7+ years of overall experience, with at least 2+ years in transformer-based LLMs & NLP tasks . Deep expertise in transformer architectures, attention mechanisms, tokenization, embedding layers, and context windows . Proficiency in Python and strong hands-on experience with NLP libraries/frameworks (Hugging Face, SpaCy, NLTK). Strong understanding of instruction-based prompting, zero/few/many-shot learning techniques . Proven track record in training, fine-tuning, and deploying LLMs for production use cases. Experience with text evaluation metrics (BLEU, ROUGE, etc.). Show more Show less

Posted 1 week ago

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