ML/AI Intern

ML/AI Intern

Location: Gurgaon, India (On-site Role)

Type: Full-time Internship (6 - 12 Months) | Paid

Eligibility: Students graduating in 2027 (B.Tech / B.E. — CSE, EE, AI/ML, or related)

About JoshTalks AI

At JoshTalks AI, we believe voice will become the primary interface between humans and machines. We build benchmarks, datasets, and AI systems that power some of the world's most widely used speech models.

Our mission:

• Enable machines to communicate as naturally as humans

• Build benchmarks and datasets that form the backbone of global speech AI progress

• Drive improvements through high-quality, diverse, real-world data — not just compute

What You'll Work On

This is not a conventional internship. You will directly contribute to work that influences the global speech AI ecosystem.

Data Delivery (Cloud & Containers)

• Deliver processed speech and audio datasets via cloud-based container pipelines (Docker, Kubernetes)

• Design and manage end-to-end data delivery workflows from raw ingestion to structured output

• Build and maintain ETL pipelines to prepare data for model training and evaluation at scale

• Ensure reliable, versioned, and reproducible data handoffs to ML training infrastructure

• Monitor pipeline health, resolve bottlenecks, and optimize throughput for large-scale data movement

Benchmarking & Evaluation

• Design and run evaluations for ASR and speech-to-speech systems

• Benchmark leading speech models to identify real-world strengths, weaknesses, and failure modes

• Build evaluation frameworks that guide top AI labs on model performance and improvement areas

Modeling & Fine-Tuning

• Fine-tune speech recognition models (e.g., Whisper, wav2vec2) targeting Word Error Rates of 5%

• Experiment with multilingual, code-switched, accented, and noisy speech data

• Work with large-scale, production-grade speech datasets across 20+ Indian languages

Who We're Looking For

Required Qualifications

• Students in B.Tech/B.E. graduating in 2027 (CSE, EE, AI/ML, or related fields)

• Strong interest in speech, audio, NLP, or multimodal AI

• Hands-on experience in one or more of the following:

Fine-tuning speech or language models (Whisper, wav2vec2, HuBERT, etc.)

Building speech-driven pipelines, classifiers, or assistants

Working with PyTorch, TensorFlow, or Hugging Face Transformers

Cloud platforms (AWS, GCP, Azure) and container tools (Docker, Kubernetes)

Preferred Qualifications

• Open-source contributions, GitHub projects, Kaggle experience,

• Experience with multilingual or low-resource speech data

• Familiarity with ETL workflows, data versioning (DVC, MLflow), or orchestration (Airflow, Prefect)

Why Join Us

Meaningful Ownership

Own problems of global relevance from reducing ASR error rates to delivering data that trains the next generation of speech models.

Front-Row Seat to Speech AI

Your pipelines and datasets will directly influence benchmarks used by the world's leading AI research labs.

Deep Technical Learning

Work alongside experts building systems across 20+ Indian languages and real-world audio conditions.

Startup Environment, Global Reach

A small, focused team working on problems that impact billions of users worldwide.

How to Apply

If you are passionate about making speech AI as natural as human conversation and want to work at the true frontier of the field, we would love to hear from you.

Note: This is a paid, full-time, in-office internship based in Gurgaon. Remote work is not available for this role.