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Infolabs Global
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Delhi · On-site · ₹10-18 LPA · 5-8 Yrs · Sep 27
2 open roles0 posted in 7d2 in 30d
Hiring: Engineering
Job description
Overview
Job Title: Senior AI/ML Developer – Voice AI Company: Infolabs Global Location: Noida Sector 62, India (On-Site) Employment Type: Full-Time Experience Required: Minimum 5+ Years (Mandatory) Compensation: ₹10,00,000 – ₹18,00,000 LPA
Responsibilities
- Strict Eligibility Notice: This is a senior-level position. Candidates must have a minimum of 5 years of hands-on professional AI/ML development experience. Applications with less than 5 years will be automatically filtered out.
- LLM & Speech Integration: Work with STT, TTS, Voice Activity Detection (VAD), LLMs, and NLP frameworks to power natural, real-time voice interactions.
- Backend & API Engineering: Build scalable backend microservices in Python, integrating AI models with enterprise APIs, databases, and third-party platforms.
- Performance Optimization: Fine-tune models and optimize pipelines for latency, high throughput, accuracy, and infrastructure costs.
- Advanced AI Implementation: Implement RAG, vector database retrieval, prompt engineering, embeddings, and function calling into voice systems.
- Deployment & Infrastructure: Manage and scale AI workloads on GPU-based cloud infrastructure or on-premise environments.
- Engineering Leadership: Maintain production system reliability, troubleshoot issues, and mentor junior AI/ML engineers.
Qualifications
- Compensation: ₹10,00,000 – ₹18,00,000 LPA
- About the RoleInfolabs Global is seeking a hands-on Senior AI/ML Developer specializing in Voice AI and Conversational Systems to join our core AI engineering team.
- Programming: Expert-level proficiency in Python.
- Frameworks: Strong hands-on experience with PyTorch, TensorFlow, Hugging Face, or equivalent modern AI frameworks.
- LLMs & GenAI: Proven experience building applications powered by LLMs, GenAI, and deep learning architectures.
- Engineering & Deployment: Expertise in building backend APIs, containerization (Docker), CI/CD, Git, and deploying AI workloads on GPU infrastructure.
- Problem Solving: Deep technical troubleshooting, analytical, and architecture design capabilities.
- Real-time audio streaming protocols, WebRTC, SIP, and telephony integrations.
- Hands-on work with Voice Activity Detection (VAD), noise suppression, and audio enhancement.
- Voice cloning, custom TTS tuning, and multilingual speech models.
- Engineering low-latency LLM + Voice pipelines for real-time calling/conversational agents.
- Hardware acceleration experience: CUDA, TensorRT, GPU memory optimization.
- Infrastructure experience with Kubernetes, AWS, Azure, or on-premise AI deployments.
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Job application FAQ
Last updated 3 October 2026
- How do I apply for Senior AI/ML Developer – Voice AI at Infolabs Global?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Infolabs Global may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior AI/ML Developer – Voice AI role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior AI/ML Developer – Voice AI remote or on-site in New Delhi, Delhi?
- This listing is marked on_site with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this Senior AI/ML Developer – Voice AI role at Infolabs Global?
- This is a senior Senior AI/ML Developer – Voice AI role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.