Qureos Mentor

Movius Interactive

<div><h1 class="jobSectionHeader"><b>Job Title: ML Ops Engineer &ndash; Speech AI &amp; Infrastructure (5&ndash;8 Years)</b></h1>
<h2 class="jobSectionHeader"><b>Location: Bangalore (India)</b></h2>
<h2 class="jobSectionHeader"><b>Full-Time | Immediate Joiners Preferred</b></h2>
<h3 class="jobSectionHeader"><b>Role Summary:</b></h3>
<p>We are looking for an experienced ML Ops Engineer (5&ndash;8 years) with a strong background in operationalizing AI/ML systems, particularly in speech AI agents integrated into telephony environments. This role bridges AI infrastructure, voice bot deployment, and real-time streaming operations, enabling AI models to function reliably in production use cases such as customer collections, voice-based load bookings, and conversational AI in logistics and telecom.</p>
<h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3>
<ul><li>Build, deploy, and maintain real-time speech AI agents for telephony (inbound/outbound) using CPaaS platforms and audio pipelines.</li>
<li>Integrate ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and LLMs with voice bot workflows using WebSocket or RTP streams.</li>
<li>Work closely with backend engineers and AI scientists to deploy scalable ML models into production across Kubernetes, Docker, and cloud-native environments (AWS/GCP).</li>
<li>Set up observability, logging, and monitoring of speech pipelines (latency, dropouts, stream integrity) using Prometheus, Grafana, ELK, etc.</li>
<li>Automate the ML lifecycle and CI/CD for AI models using tools like MLflow, Airflow, or Kubeflow.</li>
<li>Manage streaming latency optimization across ASR, LLM, and TTS chains in low-latency applications like telephony bots.</li>
<li>Ensure fault-tolerant, secure, and compliant deployment of voice-based systems using industry-standard DevOps practices.</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills:</b></h3>
<ul><li>5&ndash;8 years of experience in ML Ops, AI platform engineering, or DevOps with hands-on ML deployment.</li>
<li>Experience with ASR/TTS model integration (e.g., Whisper, Amazon Polly, Google Speech API).</li>
<li>Hands-on experience deploying AI in telephony environments, with working knowledge of Asterisk, FreeSWITCH, or similar systems.</li>
<li>Solid command over WebSocket, SIP, RTP, or similar streaming protocols for voice integration.</li>
<li>Proficient with cloud services (AWS/GCP/Azure), containers (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform).</li>
<li>Experience with end-to-end CI/CD pipelines, GitOps, and model monitoring (accuracy, drift, performance).</li>
<li>Strong programming in Python and scripting to support infrastructure and integration tasks.</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Have:</b></h3>
<ul><li>Exposure to CPaaS platforms (e.g., Twilio, Vonage, Kaleyra, Exotel) for voice bot integration.</li>
<li>Familiarity with conversational AI/NLU platforms and agentic AI frameworks.</li>
<li>Prior experience supporting AI agents in collections, logistics/freight, or telecom workflows.</li>
</ul><h3 class="jobSectionHeader"><b>What We Offer:</b></h3>
<ul><li>Work on next-gen AI voice agents deployed in high-impact customer environments.</li>
<li>Influence platform architecture and deliver cutting-edge infrastructure for real-time ML.</li>
<li>High-ownership, engineering-led culture with strong product alignment and technical mentorship.</li></ul></div>

MLOPS ENGINEER

<div><h1 class="jobSectionHeader"><b>Principal Engineer Job Description</b></h1>
<h2 class="jobSectionHeader"><b>Location: Bengaluru, KA, 560076</b></h2>
<h3 class="jobSectionHeader"><b>Role Summary:</b></h3>
<p>We are seeking a Principal Engineer with 10&ndash;12 years of strong, hands-on experience in backend engineering, architecture, AI systems integration, and telephony infrastructure. This role is ideal for someone who can lead engineering efforts end-to-end &ndash; from system design to deployment &ndash; while collaborating closely with AI/ML and product teams to deliver high-impact, production-grade conversational AI and voice bot solutions. You will take technical ownership of the engineering and delivery lifecycle for AI-powered Speech products, driving performance, scalability, and integration reliability across platforms.</p>
<h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3>
<ul><li>Architect and lead the development of robust backend platforms that enable AI voice and messaging agents at scale.</li>
<li>Drive the integration of CPaaS platforms and telephony systems (Asterisk, FreeSWITCH).</li>
<li>Build real-time streaming interfaces integrating ASR (speech recognition), TTS (text-to-speech), and LLM (natural language generation).</li>
<li>Manage and guide a small team of backend engineers and work cross-functionally with AI scientists and DevOps teams.</li>
<li>Lead the deployment, monitoring, and performance tuning of voice AI systems on cloud-native infrastructure (AWS/GCP/Azure).</li>
<li>Create and enforce engineering best practices, CICD pipelines, logging/observability, and API lifecycle governance.</li>
<li>Contribute to architectural discussions and long-term technology roadmap aligned with product vision.</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills:</b></h3>
<ul><li>10&ndash;12 years of experience in backend engineering (Node.js, Python, or Go) with a strong architecture mindset.</li>
<li>Deep understanding of real-time systems, WebSockets, microservices, message brokers (Kafka, Redis Streams, etc.).</li>
<li>Strong experience integrating telephony systems (SIP, RTP) and CPaaS providers; hands-on with Asterisk/FreeSWITCH is a plus.</li>
<li>Proven ability to integrate and deploy AI/NLP components &ndash; LLMs, ASR/TTS engines, vector DBs, etc.</li>
<li>Strong grasp of security, compliance, and observability best practices for production environments.</li>
<li>Experience with containerization (Docker), orchestration (Kubernetes), and DevOps CI/CD tooling.</li>
<li>Demonstrated experience delivering end-to-end AI/voice solutions in a production context.</li>
</ul><h3 class="jobSectionHeader"><b>Desirable Skills:</b></h3>
<ul><li>Experience with Agentic AI frameworks or orchestration of multiple autonomous AI agents.</li>
<li>Familiarity with vector databases (Pinecone, Weaviate, FAISS) and RAG architectures.</li>
<li>Exposure to analytics, real-time event tracking, and performance dashboards (e.g., Prometheus, Grafana).</li>
</ul><h3 class="jobSectionHeader"><b>What We Offer:</b></h3>
<ul><li>A leadership opportunity to shape cutting-edge AI + Voice solutions in real-world applications (telephony, logistics, collections, etc.).</li>
<li>High visibility with executive and product stakeholders, while staying hands-on.</li>
<li>A collaborative, tech-first culture with access to modern AI toolchains and infrastructure.</li>
<li>Growth opportunity toward tech leadership or head of engineering pathways.</li></ul></div>

Principal Engineer, AI

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MLOPS ENGINEER

Principal Engineer, AI