Roles & Responsibilities Design, implement, and train deep learning models for: Text-to-Speech (e.g., SpeechT5, StyleTTS2, YourTTS, XTTS-v2 or similar models) Voice Cloning with speaker embeddings (x-vectors, d-vectors), few-shot adaptation, prosody and emotion transfer Engineer multilingual audio-text preprocessing pipelines: Text normalization, grapheme-to-phoneme (G2P) conversion, Unicode normalization (NFC/NFD) Silence trimming, VAD-based audio segmentation, audio enhancement for noisy corpora, speech prosody modification and waveform manipulation Build scalable data loaders using PyTorch for: Large-scale, multi-speaker datasets with variable-length sequences and chunked streaming Extract and process acoustic features: Log-mel spectrograms, pitch contours, MFCCs, energy, speaker embeddings Optimize training using: Mixed precision (FP16/BFloat16), gradient checkpointing, label smoothing, quantization-aware training Build serving infrastructure for inference using: TorchServe, ONNX Runtime, Triton Inference Server, FastAPI (for REST endpoints), including batch and real-time modes Optimize models for production: Quantization, model pruning, ONNX conversion, parallel decoding, GPU/CPU memory profiling Create automated and human evaluation logics: MOS, PESQ, STOI, BLEU, WER/CER, multi-speaker test sets, multilingual subjective listening tests Implement ethical deployment safeguards: Digital watermarking, impersonation detection, and voice verification for cloned speech Conduct literature reviews and reproduce state-of-the-art papers; adapt and improve on open benchmarks Mentor junior contributors, review code, and maintain shared research and model repositories Collaborate across teams (MLOps, backend, product, linguists) to translate research into deployable, user-facing solutions Required Skills Advanced proficiency in Python and PyTorch (TensorFlow a plus) Strong grasp of deep learning concepts: Sequence-to-sequence models, Transformers, autoregressive and non-autoregressive decoders, attention mechanisms, VAEs, GANs Experience with modern speech processing toolkits: ESPnet, NVIDIA NeMo, Coqui TTS, OpenSeq2Seq, or equivalent Design custom loss function for custom models based on: Mel loss, GAN loss, KL divergence, attention losses, etc.,, learning rate schedules, training stability Hands-on experience with multilingual and low-resource language modeling Understanding of transformer architecture, LLMs and working with existing AI models, tools and APIs Model serving & API integration: TorchServe, FastAPI, Docker, ONNX Runtime Preferred (Bonus) Skills CUDA kernel optimization, custom GPU operations, memory footprint profiling Experience deploying on AWS/GCP with GPU acceleration Experience developing RESTful APIs for real-time TTS/voice cloning endpoints Publications or open-source contributions in TTS, ASR, or speech processing Working knowledge of multilingual translation pipelines Knowledge of speaker diarization, voice anonymization, and speech synthesis for agglutinative/morphologically rich languages Milestones & Expectations (First 3–6 Months) Deliver at least one production-ready TTS or Voice Cloning model integrated with India Speaks’ Dubbing Studio or SaaS APIs Create a fully reproducible experiment pipeline for multilingual speech modeling, complete with model cards and performance benchmarks Contribute to custom evaluation tools for measuring quality across Indian languages Deploy optimized models to live staging environments using Triton, TorchServe, or ONNX Demonstrate impact through real-world integration in education, media, or defence deployments

Company Description InLustro is a leading provider of AI-powered learning, job simulations, and industry-aligned training for academic institutions. Through Syntra, their AI-native Talent Transformation Engine, they are revolutionizing education and workforce development by equipping students with real-world skills and industry pathways. InLustro has partnered with colleges across India and built a strong network of organizations to provide high-impact, job-ready talent. Role Description This is a full-time on-site role for a Business Development Manager at InLustro in Chennai. The Business Development Manager will be responsible for driving business growth, building partnerships with educational institutions and enterprises globally, and leading initiatives to democratize AI-driven research and education. They will also work towards bridging the academia-industry divide with AI-curated talent pipelines. Qualifications Business Development, Sales, and Relationship Management skills Experience in partnering with educational institutions and enterprises Strong communication and negotiation skills Knowledge of AI-driven research and education Ability to work in a fast-paced environment and meet targets Bachelor's degree in Business Administration, Marketing, or related field Experience in the education or technology industry is a plus

As an experienced professional in the field of SaaS, AI, or enterprise software inside sales, you will be responsible for designing and executing multi-touch email and calling sequences targeted towards industry verticals such as EdTech, Studios, Call Centers, and Healthcare. Your role will involve generating and qualifying leads by utilizing lead scoring metrics to identify high-intent prospects. Additionally, you will collaborate with technical team members to schedule and conduct virtual product demos. Maintaining CRM hygiene, managing follow-up cadences, and documenting sales conversations will be crucial aspects of your day-to-day responsibilities. You will also play a key role in proposal creation, engaging in commercial negotiation over email, and preparing necessary documentation to support the sales process. The ideal candidate should possess at least 3 years of experience in SaaS, AI, or enterprise software inside sales and demonstrate excellent written and verbal communication skills. Familiarity with CRMs such as HubSpot and Zoho, email automation tools like Lemlist and Apollo.io, and outreach cadences is essential. An understanding of speech AI, SaaS pricing, and B2B buyer journeys would be advantageous. Moreover, you should exhibit a strong ability to handle rejection, follow up persistently, and independently close small-to-mid deals. Over the first 36 months in this role, your performance goals will include qualifying and nurturing a lead pipeline comprising a minimum of 100 active accounts. You will be expected to schedule at least 15 qualified product demos with relevant decision-makers and contribute to the closure of 2 SaaS contracts or 1 custom services engagement.,

As a Corporate Partnerships Executive at InLustro, you will play a crucial role in developing and executing corporate partnership strategies that align with the company's business goals. Your responsibilities will include setting partnership targets, generating leads, following up with prospective clients, and closing deals. Additionally, you will be tasked with researching potential clients, building relationships with decision-makers, and creating proposals to win new business. To excel in this role, you should have previous experience in the education sector, strong communication skills, and a proven track record in managing corporate partnerships. Your ability to develop and foster strategic relationships, coupled with excellent organizational and time management skills, will be key to your success. Knowledge of emerging technologies and cross-domain skills will be advantageous. You will be expected to maintain good relationships with existing clients, track sales metrics, and provide regular reports on strategies, plans, activities, and progress. Staying up-to-date with industry trends and developments, as well as keeping a close eye on the competition, will be essential in ensuring the success of corporate partnerships at InLustro. If you are passionate about bridging academia and industry, driving academic excellence, and catalyzing corporate growth, this full-time hybrid role based in Chennai with remote work flexibility could be the perfect opportunity for you. Join us at InLustro and be part of a team that is transforming academic institutions into next-gen Centers of Learning & Innovation.,