Machine Learning (ML)Company Description
VMax e-Solutions India Private Limited, based in Hyderabad, is a dynamic organization specializing in Open Source ERP Product Development and Mobility Solutions. As an ISO 9001:2015 and ISO 27001:2013 certified company, VMax is dedicated to delivering tailor-made and scalable products, with a strong focus on e-Governance projects across multiple states in India. The company's innovative technologies aim to solve real-life problems and enhance the daily services accessed by millions of citizens. With a culture of continuous learning and growth, VMax provides its team members opportunities to develop expertise, take ownership, and grow their careers through challenging and impactful work.
About the Role
We’re hiring a Senior Data Scientist with deep real-time voice AI experience and strong backend engineering skills.
1. You’ll own and scale our end-to-end voice agent pipeline that powers AI SDRs, customer support 2. agents, and internal automation agents on calls. This is a hands-on, highly technical role where you’ll design and optimize low-latency, high-reliability voice systems.
3. You’ll work closely with our founders, product, and platform teams, with significant ownership over architecture, benchmarks.
What You’ll Do
1. Own the voice stack end-to-end – from telephony / WebRTC entrypoints to STT, turn-taking, LLM reasoning, and TTS back to the caller.
2. Design for real-time – architect and optimize streaming pipelines for sub-second latency, barge-in, interruptions, and graceful recovery on bad networks.
3. Integrate and tune models – evaluate, select, and integrate STT/TTS/LLM/VAD providers (and self-hosted models) for different use-cases, balancing quality, speed, and cost.
4. Build orchestration & tooling – implement agent orchestration logic, evaluation frameworks, call simulators, and dashboards for latency, quality, and reliability.
5. Harden for production – ensure high availability, observability, and robust fault-tolerance for thousands of concurrent calls in customer VPCs.
6. Shape the voice roadmap – influence how voice fits into our broader Agentic OS vision (simulation, analytics, multi-agent collaboration, etc.).
You’re a Great Fit If You Have
1. 6+ years of software engineering experience (backend or full-stack) in production systems.
2. Strong experience building real-time voice agents or similar systems using:
STT / ASR (e.g. Whisper, Deepgram, Assembly, AWS Transcribe, GCP Speech)
TTS (e.g. ElevenLabs, PlayHT, AWS Polly, Azure Neural TTS)
VAD / turn-taking and streaming audio pipelines
LLMs (e.g. OpenAI, Anthropic, Gemini, local models)
3. Proven track record designing and operating low-latency, high-throughput streaming systems (WebRTC, gRPC, websockets, Kafka, etc.).
4. Hands-on experience integrating ML models into live, user-facing applications with real-time inference & monitoring.
5. Solid backend skills with Python and TypeScript/Node.js; strong fundamentals in distributed systems, concurrency, and performance optimization.
6. Experience with cloud infrastructure – especially AWS (EKS, ECS, Lambda, SQS/Kafka, API Gateway, load balancers).
7. Comfortable working in Kubernetes / Docker environments, including logging, metrics, and alerting.
8. Startup DNA – at least 2 years in an early or mid-stage startup where you shipped fast, owned outcomes, and worked close to the customer.
Nice to Have
1. Experience self-hosting AI models (ASR / TTS / LLMs) and optimizing them for latency, cost, and reliability.
2. Telephony integration experience (e.g. Twilio, Vonage, Aircall, SignalWire, or similar).
3. Experience with evaluation frameworks for conversational agents (call quality scoring, hallucination checks, compliance rules, etc.).
4. Background in speech processing, signal processing, or dialog systems.
5. Experience deploying into enterprise VPC / on-prem environments and working with security/compliance constraints.
Shubham Vishwakarma
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