Senior AI/ML Engineer – Conversational & Voice AI

Tiger Analytics • Artificial Intelligence • MLOps • 6 days ago
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Salary
≈ $23k – $46k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Aug 26, 2026.

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Tiger Analytics

Tiger Analytics is an advanced analytics and artificial intelligence consultancy founded in 2011 that builds data science and decision systems for consumer goods, retail, insurance, healthcare and technology clients. Its engagements typically run from data platform construction through model development to deployment and monitoring in production, rather than stopping at proof of concept, and it also packages recurring problem shapes into reusable accelerators. Headquartered in Santa Clara with its largest delivery organisation in India, it employs several thousand data scientists and engineers across North America, Europe, India and Australia.
tigeranalytics.com • HQ: Santa Clara, United States • MLOps • Data Engineering & Migration Services • AI Consulting & Integration • Analytics & BI Consulting • 1001-5000 employees • Est. 2011
Tech stack of Tiger Analytics

Location: Hyderabad/Bangalore

Experience: 5-8 years

Role: Senior AI/ML Engineer - Conversational AI & Voice Analytics

About the Role

We are looking for an experienced AI/ML Engineer with strong expertise in NLP, NLU, Conversational AI, Voice/IVR systems, and Generative AI to build intelligent, production-grade conversational and voice solutions.

The ideal candidate will have hands-on experience working with speech and language technologies, including intent recognition, entity extraction, speech-to-text, text-to-speech, voice analytics and conversational systems, along with the ability to integrate LLMs and GenAI into enterprise applications.

You will be responsible for designing and developing AI solutions that can understand customer conversations, analyze voice data, automate interactions and generate meaningful insights from large volumes of conversational data.

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