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PreCallAI
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Artificial Intelligence Engineer

Artificial Intelligence Engineer

PreCallAI

0 years

0 Lacs

indore madhya pradesh india

Posted:11 hours ago| Platform:

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Skills Required

ai communication ml research design prosody latency transcription scalability deployment engineering cutting learning kaldi openai mistral programming pytorch docker kubernetes rest code switching optimization quantization model distillation compensation collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

About Us

Text-to-Speech (TTS)

self-motivated, innovative, and hands-on AI/ML Engineers

Key Responsibilities

Research, design, and implement
TTS models
(primary focus), with strong emphasis on
naturalness, prosody, and real-time synthesis
.
Work with
STT pipelines
to enable accurate, low-latency transcription in noisy and multi-lingual environments.
Integrate and fine-tune
LLMs
for conversational AI and dialogue management.
Build and optimize
Speech-to-Speech (S2S) models
by combining STT → LLM → TTS pipelines and/or direct end-to-end approaches.
Optimize models for
latency, scalability, and deployment in production environments
(cloud + edge).
Collaborate with product, research, and engineering teams to design APIs, SDKs, and scalable infrastructure.
Stay updated with cutting-edge research in speech AI and apply it to production-ready systems.

Requirements

Proven hands-on experience with TTS models
(e.g., Tacotron, FastSpeech, VITS, F5-TTS, VALL-E, or other neural TTS systems).
Strong background in
Deep Learning, NLP, and Speech Processing
.
Experience with
STT systems
(e.g., Whisper, Deepgram, Wav2Vec2, Kaldi, or similar).
Familiarity with
LLMs
(OpenAI, LLaMA, Mistral, or custom fine-tuned models).
Solid programming skills in
Python
and frameworks like
PyTorch / TensorFlow
.
Experience deploying models in
real-time production systems
(e.g., Docker, Kubernetes, REST/gRPC APIs).
Strong problem-solving skills, self-motivation, and ability to work in a
fast-paced, team-driven startup environment
.

Nice-to-Have

Experience with
speech enhancement, voice cloning, or emotion modeling
.
Knowledge of
multi-lingual or code-switching (Hinglish, etc.) speech systems
.
Familiarity with
GPU optimization, quantization, model distillation, or edge deployment
.
Publications or contributions to open-source AI/ML projects.

What We Offer

Opportunity to work on
cutting-edge speech AI
with real-world impact.
Fast-growing startup environment with ownership and innovation freedom.
Competitive compensation, ESOPs, and performance-based rewards.
Collaborative, motivated, and research-driven team culture.

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