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Senior Technical Lead

HCLTech -
Gautam Budh Nagar, Uttar Pradesh

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Job details

4 days ago

Qualifications

TensorFlow
Law
Signal processing
PyTorch
Master's degree
C++
Quality assurance
C
Deep learning
Scalability
Python

Full job description

Senior Technical Lead

Gautam Buddha Nagar, Uttar Pradesh

Job Summary

To be responsible for managing technology in complex projects ,providing technical guidance and ensuring successful delivery of solutions. Job Title: Speech AI Engineer Role summary We are looking for a senior hands-on expert who can take speech systems from raw audio to reliable production features. You will build and improve core speech capabilities such as ASR, TTS, voice conversion, and speech-to-speech workflows, and you will also own the engineering work that makes them fast, scalable, and measurable in the real world. This role is a strong fit if you enjoy the full stack of speech AI: signal processing intuition, modern deep learning, decoding and streaming constraints, and practical deployment trade-offs. What you will own 1) Speech modeling that ships • Build, train, and iterate on ASR models for real-world conditions such as conversational speech, accents, noise, and far-field audio, with strong offline and online evaluation discipline. • Develop and improve TTS systems that are natural, low-latency, and stable on speaker identity and prosody, with production-quality inference constraints. • Work on voice conversion and accent conversion when needed, preserving intelligibility, naturalness, and speaker identity in streaming settings. 2) Decoder and streaming engineering • Design and implement decoding stacks using proven libraries and patterns, including Kaldi and OpenFST, and features like custom vocabulary injection, language model rescoring, and beam search tuning. • Build streaming inference systems with strict latency budgets and predictable behavior at scale, including monitoring and continuous improvement loops. 3) Speech analysis and speech intelligence • Deliver speech analytics building blocks such as VAD, diarization, speaker recognition, and quality analytics that improve end-to-end product outcomes. • Design robust evaluation harnesses and datasets for real user scenarios, including domain adaptation and behavior tuning across use cases. 4) GenAI and LLM integration for voice experiences • Integrate speech components into LLM-based systems, including cascaded ASR plus LLM plus TTS pipelines, and drive joint optimization where it materially improves product quality. • Build or extend speech generation capabilities including voice cloning, controllable prosody, and modern generative architectures where relevant to the roadmap. 5) Production deployment and operational excellence • Own end-to-end delivery: prototyping, ablations, training, evaluation, optimization, deployment, and post-launch monitoring. • Partner closely with product and platform teams to integrate models into real-time systems and maintain reliability, uptime, and quality under production traffic. Required qualifications • 6+ years building production-grade speech or audio ML systems, or equivalent depth through research plus shipped production impact. • Strong programming ability in Python, plus comfort in C or C++ for performance-critical components. • Proven expertise in deep learning for speech (PyTorch or TensorFlow) and practical model training and serving. • Solid fundamentals in speech and audio, including signal processing concepts and real-world acoustic variability. • Experience deploying models into real-time or high-throughput systems, including evaluation, scalability, and production reliability. Strongly preferred • Hands-on experience with decoding toolchains and speech customization

Key Responsibilities

1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.

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