Live opening · Posted 7 days ago

AI/ML Engineer

Shunya Labs · Gurugram, Haryana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyShunya Labs
LocationGurugram, Haryana, India (On-site)
Work modeNo
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

Position: AI/ML Engineer
Location: Gurgaon / Bangalore
Company: ShunyaLabs
Experience: 5 years
About ShunyaLabs:
ShunyaLabs is building next-generation AI infrastructure from India for the world. Our focus areas include multilingual speech recognition, voice AI, conversational intelligence, large language models, edge AI, and agentic systems. We are developing foundational technologies that outperform global benchmarks while running efficiently on CPUs and edge devices.
We are looking for exceptional AI/ML Engineers who want to solve hard problems and build world-class AI products at scale.
Responsibilities:
Design, train, fine-tune, and deploy machine learning and deep learning models.
Build and optimize ASR, NLP, LLM, voice AI, and multimodal AI systems.
Develop scalable AI pipelines for training, inference, monitoring, and evaluation.
Work on model compression, quantization, distillation, and edge deployment.
Improve model accuracy, latency, and cost efficiency.
Build data pipelines, labeling workflows, and evaluation frameworks.
Collaborate with product, engineering, and research teams to translate business needs into AI solutions.
Stay current with the latest advancements in AI, LLMs, speech technology, and machine learning.
Required Qualifications:
Bachelor's, Master's, or PhD in Computer Science, AI, Machine Learning, Mathematics, or related field.
Strong programming skills in Python.
Hands-on experience with PyTorch and/or TensorFlow.
Experience with machine learning, deep learning, NLP, speech processing, or computer vision.
Strong understanding of model architectures, optimization techniques, and evaluation methodologies.
Familiarity with cloud platforms, Docker, Kubernetes, and MLOps practices.
Strong analytical and problem-solving skills.
Preferred Qualifications:
Experience building production-grade AI systems.
Experience with LLMs, RAG, agents, ASR, TTS, diarization, or voice AI.
Contributions to research publications, patents, open-source projects, or AI competitions.
Experience with CUDA, ONNX, Triton, model serving, or edge deployment.
What You'll Get:
Opportunity to build foundational AI technology from India.
Work directly with leadership and top AI researchers.
Competitive compensation and ESOPs.
Ownership of products used by millions.
Chance to contribute to patents, publications, and breakthrough AI innovation.

Work arrangement
No

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