Machine Learning Engineer - TTS & Expressive Speech

Ethical Den; Kolkata District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Ethical Den in Kolkata (West Bengal) is seeking a Machine Learning Engineer specializing in Text-to-Speech, expressive speech generation and related research. You will join the AI research and engineering team to work on confidential speech-technology initiatives, focusing on model research, fine-tuning, dataset development and real-time inference performance.

The role requires 2 to 5+ years of hands-on experience with Python, PyTorch, and DSP concepts, and offers an on-site, full-time position

Qualifications

• Experience with Python and PyTorch for ML research and prototyping.
• Strong background in deep learning applied to speech.
• Understanding of TTS pipelines and audio processing concepts.
• Experience with dataset preparation and model evaluation.

Responsibilities

• Research and evaluate modern TTS architectures.
• Fine-tune pretrained speech models and improve speech naturalness.
• Develop streaming synthesis pipelines and reduce inference latency.
• Collaborate with ML systems engineers and speech-data specialists.
• Document experiments and model performance results.

Skills

Python

PyTorch

Deep Learning

Audio ML

Speech processing

TTS training and fine-tuning

Audio preprocessing

PCM/WAV fundamentals

Spectrograms

GPU training

Linux

Git

Education

B.Tech/B.E./M.Tech/M.Sc. in CS/AI/EE/Signal Processing

Tools

XTTS

VITS

FastSpeech

StyleTTS

Parler-TTS

Neural codecs

Diffusion-based speech models

Flow-based TTS

LoRA

ONNX

TensorRT

Job description

JOB TITLE: Machine Learning Engineer - TTS & Expressive Speech

Company: Ethical Den

Location: Kolkata, West Bengal

Work Mode: On-site only

Employment Type: Full-time

Experience: 2 to 5+ years

Openings: 1

Joining: Immediate to 30 days preferred

ABOUT THE ROLE

Ethical Den is looking for a Machine Learning Engineer specialising in Text-to-Speech, speech synthesis and expressive speech generation.

You will join our AI research and engineering team and work on a confidential speech-technology initiative.

The role combines model research, fine-tuning, dataset development, speech quality and real-time inference performance.

Further project information will be shared with shortlisted candidates subject to confidentiality requirements.

KEY RESPONSIBILITIES

• Research and evaluate modern TTS architectures.
• Fine-tune and adapt pretrained speech models.
• Improve speech naturalness and pronunciation.
• Work on expressive and emotional speech generation.
• Improve prosody, rhythm, pitch, pauses and intonation.
• Work with multi-speaker datasets.
• Develop speaker-conditioning systems.
• Experiment with speaker embeddings.
• Explore lightweight model-adaptation techniques.
• Develop streaming speech-generation pipelines.
• Optimise time to first audio.
• Improve real-time factor.
• Reduce inference latency.
• Optimise GPU memory consumption.
• Design TTS evaluation frameworks.
• Conduct objective and subjective speech evaluation.
• Work closely with speech-data specialists.
• Work with ML systems engineers on inference optimisation.
• Document experiments and model-performance results.

REQUIRED SKILLS

• Python
• PyTorch
• Deep Learning
• Audio ML
• Speech processing
• TTS training and fine-tuning
• Audio preprocessing
• PCM/WAV fundamentals
• Sampling rates
• Spectrograms
• GPU training
• Mixed precision
• Dataset preparation
• Model evaluation
• Linux
• Git

IMPORTANT CONCEPTS

Candidates should understand:

• Prosody
• Phonemes
• Speaker embeddings
• Vocoders
• Streaming synthesis
• Real-time factor
• Time to first audio
• Speaker conditioning

EXPERIENCE WITH ANY OF THE FOLLOWING IS VALUABLE

• XTTS
• VITS
• FastSpeech
• StyleTTS
• Parler-TTS
• Neural codecs
• Diffusion-based speech models
• Flow-based TTS
• LoRA
• ONNX
• TensorRT

EDUCATIONAL QUALIFICATION

Preferred:

B.Tech/B.E./M.Tech/M.Sc. in Computer Science, Electronics, AI/ML, Signal Processing, Speech Technology, Computational Linguistics or a related field.

Research candidates with lower corporate experience may be considered if they can demonstrate meaningful TTS model-development experience.

RESEARCH EXPERIENCE IS WELCOME

We encourage applications from candidates who have:

• Published relevant research
• Released models on Hugging Face
• Contributed to open-source speech projects
• Worked in speech research laboratories
• Independently trained or fine-tuned speech models

CONFIDENTIALITY

This position involves confidential research and product development. Specific product details, datasets and internal architecture will be disclosed only at the appropriate stage of the hiring process and may require an NDA.