ML Engineering Intern – Voice AI Platform

Vaani is an emerging Indian startup that focuses on building next‑generation conversational AI platforms. Founded by a team of ex‑FAANG engineers, the company leverages large language models (LLMs) and voice synthesis to create intelligent agents that can understand, reason, and respond in natural language. With offices in Bangalore and Hyderabad, Vaani serves a mix of enterprise clients in finance, healthcare, and e‑commerce, helping them automate customer interactions and improve user experience.

The firm’s culture emphasizes rapid experimentation, cross‑functional collaboration, and a strong bias toward delivering production‑grade AI solutions.

As a ML Engineering Intern on the Voice AI Platform, you will be immersed in the core research‑to‑product pipeline. You will work alongside senior ML engineers, data scientists, and product managers to design, prototype, and ship components that power Vaani’s voice assistants. The role offers a rare chance for fresh graduates to contribute to real‑world AI systems, from training large transformer models to deploying low‑latency inference services that run at scale.

Key Responsibilities

• Develop and fine‑tune large language models for conversational understanding.
• Build end‑to‑end voice AI pipelines, including speech‑to‑text, text‑to‑speech, and intent classification.
• Write clean, modular Python code for model training, evaluation, and serving.
• Conduct experiments to benchmark model performance and latency.
• Implement model serving infrastructure using containers or serverless frameworks.
• Collaborate with product teams to translate business requirements into technical specifications.
• Participate in code reviews and contribute to the team’s best‑practice guidelines.
• Document experiments, results, and deployment procedures for internal knowledge‑base.
• Explore emerging research in agentic AI and multi‑agent workflows.
• Assist in debugging production issues and optimizing resource utilization.

Tech Stack: Python, PyTorch/TensorFlow, FastAPI or Flask, Docker/Kubernetes, AWS/GCP, C++/Go (optional), SQL/NoSQL databases, Git, CI/CD pipelines.

Growth Path: Interns who demonstrate strong problem‑solving abilities and ownership can transition to full‑time ML Engineer roles, with opportunities to lead sub‑projects, mentor future interns, and eventually move into senior or specialist positions such as LLM Research Engineer or Voice AI Product Lead.

Why Join Vaani? You will work on cutting‑edge AI that directly impacts millions of users, receive mentorship from industry veterans, and enjoy a flexible, merit‑based environment that rewards innovation. The stipend is competitive, and the experience gained will be a solid foundation for any AI‑focused career.