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ML Researcher​/Engineer - Voice and Speech to Speech Models; BM

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: apna
Full Time position
Listed on 2026-02-22
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Artificial Intelligence
Job Description & How to Apply Below
Position: ML Researcher / Engineer - Voice and Speech to Speech Models (BM)
Location: Bengaluru

Job Description

About Apna:

Apna is India’s largest jobs and professional networking platform and one of India’s fastest unicorns. As we expand Bluemachines AI, our AI-first platform across voice, text, and multimodal workflows — we’re looking for a bold and curious Applied ML Scientist who wants to shape the future of applied Gen AI.

Location:

Bengaluru (Work from Office - Domlur)

Team: AI & Machine Learning

Experience:

2–7 years

Requirements

What You'll do:

- Fine-tune and deploy LLMs, TTS, STT, and voice models for use in real-time conversations with millions of users.
- Convert unstructured, messy real-world audio/text data into clean, high-quality datasets for training and evaluation.
- Build inference pipelines optimized for low-latency, high-accuracy voice agents and multimodal interfaces.
- Work closely with infra and product teams to ship production-grade GenAI models with observability, fallback, and monitoring.
- Experiment with GANs, diffusion models, audio generation, and multimodal fusion to power next-gen AI agents.
- Own the full model lifecycle — from research and training to deployment, testing, and iteration.

What we're Looking for:

- 2-7 years of hands-on experience in AI / ML roles, ideally in startups or product-driven teams.
- Strong grasp of LLM fine-tuning, instruction tuning, or pretraining techniques.
- Familiarity with TTS/STT systems, Whisper, Tacotron, VITS, or other open source models .

- Experience with multimodal architectures, generative audio, GANs, or diffusion-based models.
- Ability to work with real-world messy data, design training pipelines, and debug model failure modes.
- Fluency in frameworks like PyTorch, Hugging Face, Tensor Flow, and ecosystem tools (ONNX, Triton, Lang Chain, etc.).
- Passion for building high-impact AI features that ship to real customers.

Why Join Us:

- Work at the cutting edge of LLMs, voice AI, and generative models — and ship real products, not just prototypes.
- Directly impact millions of users by powering AI agents that help with hiring, learning, and career growth.
- Collaborate with a world-class team of AI engineers, researchers, and product minds who move fast and ship boldly.
- Freedom to explore:
Own experiments, propose architecture, or contribute to foundational model training.
- Startup speed, enterprise scale — best of both worlds. Rapid iteration and direct customer feedback.
- Multilingual India - first problems that push the boundaries of speech, reasoning, and personalization.
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