AI/ML Technical Lead

2 days ago

Kolkata, India Source Desk Global Full time

Job Description Job description: - We are looking for an experiencedAI/ML Technical Leadto architect and drive the development of our intelligent conversation engine. - You will lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. - This is afoundational hirefor a technically ambitious platform. Key Responsibilities: - AI System Architecture:Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. - Model Integration & Prompt Engineering:Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. - Data Pipelines & Knowledge Management:Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). - Voice & Text Interfaces:Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. - Conversational Flow Orchestration:Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. - Platform Scalability:Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. - Lead a Cross-Functional Team:Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. - Monitoring & Feedback Loops:Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Qualifications Must-Haves: - 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. - Strong background in NLP, dialog systems, or voice AI preferably with production experience. - Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). - Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). - Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. - Familiarity with voice processing (ASR, TTS, IVR design). - Solid understanding of API-based integration and microservices. - Deep care for data privacy, multi-tenancy security, and ethical AI practices.

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