Artificial Intelligence Engineer
8 hours ago
Role Overview
We are seeking an
AI Engineer
with 2–4 years of experience to design, build, and optimize AI/ML models, focusing on speech, NLP, and deployment at scale. You will work closely with our research and engineering teams to bring state-of-the-art models into production.
Key Responsibilities
- Develop and fine-tune AI/ML models (ASR, NLP, deep learning).
- Build scalable training and inference pipelines.
- Optimize models for latency, accuracy, and CPU/edge deployment.
- Collaborate with MLOps/DevOps to deploy APIs and services.
- Monitor, test, and improve production models with real-world data.
Requirements
- 2–4 years of hands-on experience in AI/ML engineering.
- Strong skills in
Python
,
PyTorch/TensorFlow
, and deep learning. - Knowledge of NLP, speech/audio processing, or related domains.
- Experience in deploying models (APIs, Docker, cloud/on-prem).
- Good understanding of data preprocessing, model evaluation, and optimization.
- Bonus: familiarity with multilingual/Indic datasets, graph models, or noise-robust ASR.
Why Join Us
- Work on cutting-edge
voice AI
with global impact. - Opportunity to learn and contribute across research, engineering, and deployment.
- Fast-paced deep-tech startup with strong ownership and growth.
About Us
Shunya Labs is a deep-tech spinout from United We Care, purpose-built to revolutionize voice AI infrastructure. With a next-generation ASR engine boasting a record-low
3.37% Word Error Rate
, native fluency across
32+ Indic languages
,
CPU-optimized, on-prem capable deployment
, and
military-grade privacy and explainability
, we're enabling mission-critical deployments across healthcare, defense, rural, and enterprise environments
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