Machine Learning (ML)We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.
You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.
This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.
Key Responsibilities
Architecture & System Design
- Design low-latency, real-time voice agent architectures for local/on-prem deployment
- Define scalable architectures for ASR → LLM → TTS pipelines
- Optimize systems for GPU utilization, concurrency, and throughput
- Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)
Voice & Conversational AI
- Design and integrate:
- Automatic Speech Recognition (ASR)
- Natural Language Understanding / LLMs
- Dialogue management & conversation state
- Text-to-Speech (TTS)
- Build streaming voice pipelines with sub-second response times
- Enable multi-turn, interruptible, natural conversations
Model & Inference Engineering
- Deploy and optimize local LLMs and speech models (quantization, batching, caching)
- Select and fine-tune open-source models for voice use cases
- Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar
Infrastructure & Production
- Design GPU-based inference clusters (bare metal or Kubernetes)
- Implement autoscaling, load balancing, and GPU scheduling
- Establish monitoring, logging, and performance metrics for voice agents
- Ensure security, privacy, and data isolation for local deployments
Leadership & Collaboration
- Set architectural standards and best practices
- Mentor ML and platform engineers
- Collaborate with product, infra, and applied research teams
- Drive decisions from prototype → production → scale
Required Qualifications
Technical Skills
- 7+ years in software / ML systems engineering
- 3+ years designing production AI systems
- Strong experience with real-time voice or conversational AI systems
- Deep understanding of LLMs, ASR, and TTS pipelines
- Hands-on experience with GPU inference optimization
- Strong Python and/or C++ background
- Experience with Linux, Docker, Kubernetes
AI & ML Expertise
- Experience deploying open-source LLMs locally
- Knowledge of model optimization:
- Quantization
- Batching
- Streaming inference
- Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)
Systems & Scaling
- Experience with high-QPS, low-latency systems
- Knowledge of distributed systems and microservices
- Understanding of edge or on-prem AI deployments
Preferred Qualifications
- Experience building AI voice agents or call automation systems
- Background in speech processing or audio ML
- Experience with telephony, WebRTC, SIP, or streaming audio
- Familiarity with Triton Inference Server / vLLM
- Prior experience as Tech Lead or Principal Engineer
What We Offer
- Opportunity to architect state-of-the-art AI voice systems
- Work on real-world, high-scale production deployments
- Competitive compensation and equity (if applicable)
- High ownership and technical influence
- Collaboration with top-tier AI and infrastructure talent
Shubham Vishwakarma
Full Stack Developer - Averlon
About VMax eSolutions India Pvt Ltd
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Proven experience as a Java Developer with a strong understanding of Java and its ecosystems.
Proficient in Spring Framework (Spring Boot, Spring MVC, Spring Data).
Experience with web application development using technologies such as HTML, CSS, and JavaScript.
Knowledge of relational databases (e.g., MySQL, PostgreSQL) and ORM frameworks (e.g., Hibernate).
Familiarity with build tools such as Maven or Gradle.
Understanding of software development life cycle (SDLC) and agile methodologies.
Excellent problem-solving and debugging skills.
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Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
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Greetings from Stock Pathshala !!!!
About us
Stock Pathshala is an educational platform to learn all about the stock market. If you want to learn about the stock market, this is the right place for you!!
Looking for an enthusiastic sales executive to join our team.
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- Make additional income by meeting and overachieving targets.
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Qualifications
Bachelor’s degree
Excellent communication skills
Experience
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Language
Hindi
Benefits
Complete on-the-job stock market Training and doubt sessions
Performance bonus
Quarterly bonus
Yearly bonus
Job Type: Full-time
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KotlinJavaAbout the job
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Notice period- 30 days
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Full Stack Developer - Averlon