30 Tts Jobs - Page 2

We are hiring "Senior Speech & Language R&D Engineer" for one of our Product based-MNC client @Pune location EXP-4+ Mode-Permanent Mandatory Skills: Computational Linguist 4+ years of working experience 2+ years of experience in speech domain/technologies. Experiences in Python programming . Exposure to different speech toolkit (HTK, SLTK). Working knowledge of Linux/Unix and shell scripting . Fluent in English both written and spoken. Experience in TTS voice building using Festvox or any other technology ( preferred). Programming experience with scripting languages Perl and/or AWK (preferred). Knnowledge of Natural Language Processing and Machine Learning (preferred).

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for 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. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcedeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

JOB DESCRIPTION JOB TITLE Maintenance Executive-BHS LEVEL & GRADE B1 & B DIVISION/ DEPARTMENT Engineering & Maintenance /Mechanical COST CENTER 72180 REPORTS TO P Mohana Sundaram DATE 17/03/25 JOB PURPOSE (Provide an overview of the job, its context in the organization and the contribution that it makes) Responsible for day-to-day operation and maintenance/Comprehensive Maintenance activities, repair, troubleshooting, Inspection work of various Mechanical Installations. Having specialization skill & experience in Baggage handling system (BHS) in any large industry/organization. Also, having experience in one or more of the Mechanical Airport installations such as Passenger Boarding Bridges, Elevators & Escalators, Travelator (VHT) , Fire Protection System, Heating Ventilation and Air conditioning etgc. Co-ordination & Involving in both T1 & T2 Mechanical Maintenance activities. PRINCIPAL ACCOUNTABILITIES (List the responsibilities/ duties associated with the job and the major activities associated with each responsibility. For each responsibility/ duty listed, give the factors on which an individuals performance is judged) Accountabilities Major Activities Timely Review of Installations and maintenance task Compliance of Mechanical department activities with national and international standards Effective Maintenance planning and ensure timely Completion Having specialist knowledge & experience on Baggage Handling System (BHS) Having expertise on BHS SCADA, Self Bag Drop (SBD), Departure & Arrival Conveyor Systems, Baggage Sortation Process, Check-in Conveyors, Baggage Diverter system, Tilt Tray Sorter (TTS), Baggage Conveyor, Power Curve System, High Speed Diverter (HSD), Vertical Sorter Unit (VSU), Baggage Carousel etc Having exposure in trouble shooting of BHS system Carrying out scheduled maintenance, breakdown maintenance & predictive maintenance of Mechanical Installations (i.e. VHT, FFS, BHS, PBB & HVAC). Contract management of Mechanical Installations like HVAC, FFS, BHS, PBB & VHT Ensure serviceability of all Mechanical Installations as per Contract agreement including HVAC, FFS, VHT, PBB & BHS Co-ordination with the Project team/EPC/Design Team for any DLP & other additional improvement activities on Mechanical Installations. Effective Implementation of IMS (QMS, EnMS, EMS etc) Ensure that suitable Planned Preventative Maintenance (PPM) Plans are developed and implemented on Mechanical Installations Ensure that the Maintenance plan is fully documented and uploaded into SAP, ePalm. Ensures timely closing of entire mechanical department maintenance work orders(in SAP) during shifts Ensure updation of all maintenance documents Contract Management: efficiently and professionally manage contracts To ensure the labour regulations in the contract, legal & Statutory compliance Compliance; coordinates with Daily operation and contractors Training to Staff Training to staff in the troubleshooting & personal safety Develops, implements and trains staff; instructs staff in regulations, codes and work techniques and the proper use and maintenance of all equipment Effective Spare Parts Managements Availability and proper storage of all identified key spare parts Spare parts Planning –cost, criticality Analysis Spare parts control-Regularly/irregularly used spare parts Ensures availability of adequate materials to conduct work activities; approves and/or initiates orders for new/replacement materials. DIMENSIONS (Financial or Non-financial parameters which are directly impacted/controlled by the role or indirectly influences/contributes to in a measurable way) Financial (Eg: Budgets, project costs, capex etc.,) Non-Financial (Eg: No. of direct/ indirect reports, headcount in projects, no. of clients handled etc.,) OPERATING NETWORK (Internal/ External contact groups with which the position holder interact/ work for achieving the organization’s objectives) Internal External External Contractors Concessionaries Suppliers, vendors JOB SPECIFICATION 5.1.Education qualification and certifications (Indicate the level of education and certifications required) Degree/Diploma in Mechanical/Electrical/Electronics Engineering or Equivalent 5.2. Years of Experience ( Years of relevant experience required) Degree Holders: Should have Minimum 3 years of relevant working Experience in a large industry/Airport/corporate sector. Diploma Holders: Should have Minimum 6 years of relevant working Experience in large industry/Airport/corporate sector. 5.3. Computer skills (Indicate the required knowledge on software, applications, hardware etc., that are required) MS-Office (Word, Excel, Power point, Outlook) 5.4. Knowledge and work skills [Indicate what knowledge (machines, equipment, processes, systems etc.,) and work skills are required] Working experience in operation & maintenance of Baggage Handling System. Having expertise/experience in BHS SCADA, Self Bag Drop (SBD), Departure & Arrival Conveyor Systems, Baggage Sortation Process, Check-in Conveyors, Baggage Diverter system, Tilt Tray Sorter (TTS), Baggage Conveyor, Power Curve System, High Speed Diverter (HSD), Vertical Sorter Unit (VSU), Baggage Carousel etc Good knowledge in contract management like processing of bills ensures labour legal compliance, ensures proper wage disbursement to contract staffs by contractor etc. Good knowledge in preparation preventive maintenance schedule, execution as per schedule, maintaining of maintenance records, allocation of works to subordinates etc. Good knowledge in identify, procure & maintenance of spares Should have knowledge in Airport Operations in its totality - like movement of aircrafts, Check in process etc. Excellent Communication Skills in English (Verbal & Written)

We are seeking a talented Machine Learning Engineer with deep expertise in natural language processing (NLP), large language models (LLMs), and speech technologies to join our forward-thinking team. This role focuses on advancing our capabilities

Job Title: Prompt Engineer Parloa Platform Location: Pune, India (Hybrid) Employment Type: Full-Time About Knowledgeforce IT Services India Pvt. Ltd. Knowledgeforce IT Services India Pvt. Ltd. is the India Development Center (IDC) of Kforce Inc., a leading staffing and solutions provider headquartered in the US. We deliver high-quality technology and business solutions for our global clients, leveraging innovation, talent, and cutting-edge tools to solve complex challenges. Role Overview We are standing up next-generation conversational AI experiences on Parloa while we gradually transition from Google Dialogflow (voice remains on Dialogflow through next spring). As a Senior Parloa Prompt Engineer, you will design, implement, and optimize prompts and flows that power AI-assisted customer experiences across voice and digital channels. Youll own prompt strategy, knowledge ingestion, API integration, and escalation logic on Parloa, while collaborating closely with our integration partner (Presidio) on the Cisco/Webex routing and custom API connectivity. This is a hands-on role for a senior practitioner who can ship quickly, document thoroughly, and help us migrate knowledge from Intercom into a Parloa-ingestible formatbalancing short-term delivery with a scalable architecture for the future. What Youll Do (Key Responsibilities) Prompt & Conversation Design Lead prompt strategy for Parloa: system prompts, few-shot examples, guardrails, and prompt chaining for multi-turn flows. Design voice and chat experiences with robust error recovery, safe fallbacks, and escalation logic to live agents. Establish evaluation frameworks (A/B tests, prompt drift detection, prompt performance dashboards). Parloa Build & Orchestration Build and optimize Parloa flows, intents, entities, and connectors/webhooks; tune NLU and policy behaviors for voice. Implement session and context management, disambiguation flows, and content moderation/guardrails. Define and enforce versioning, promotion paths (dev test prod), and release notes for conversational assets. Knowledge Base Migration & RAG Lead migration of knowledge from Intercom to a Parloa-ingestible structure (chunking, metadata, taxonomies). Stand up retrieval patterns (e.g., FAQ/RAG-style lookups where appropriate) with quality thresholds and citations. Partner with content owners to maintain a single source of truth and governance for knowledge updates. APIs, Integrations & Telephony Collaboration Design and implement RESTful/webhook integrations (auth, timeouts, retries, idempotency) used by Parloa flows. Collaborate with Presidio on Cisco/Webex routing design; build the custom integration logic Parloa requires (no native Cisco connector). Instrument telemetry, logging, and observability across Parloa and integration layers; define SLIs/SLOs for conversational services. Transition from Google Dialogflow Maintain/improve Dialogflow voice bots during the transition; ensure feature parity and a smooth phased cutover to Parloa. Map intents/entities/flows and port training data; validate ASR/TTS tuning, latency, barge-in, and call-handling behaviors. Quality, Compliance & Ops Establish automated testing for conversation paths, regression checks, and contract tests for APIs. Define analytics and reporting (containment, resolution, fallback rate, deflection, escalation, AHT, CSAT proxy). Adhere to privacy-by-design principles for PII/PCI/PHI as applicable; guide redaction, access, and retention patterns. Create runbooks, architectural docs, and handoff materials; mentor designers/engineers on Parloa best practices. What Youll Bring (Minimum Qualifications) 6+ years building production conversational AI (voice and/or chat) with 2+ years in prompt engineering or advanced LLM orchestration. Hands-on Parloa experience or strong, transferable experience on Google Dialogflow (CX/ES) with demonstrated ability to ramp quickly on Parloa. Deep expertise in prompt design (system/user/tool prompts), evaluation, guardrails, and LLM safety patterns. Proven track record integrating REST APIs (OAuth 2.0, JWT, secrets management), JSON schema design, and webhook patterns. Experience with voice fundamentals: ASR/TTS tuning, latency management, barge-in, error handling, call flows. Practical skills in Node.js or Python, Git, CI/CD, and structured release management. Strong analytics orientation: define KPIs, build dashboards, and use data to iterate conversational performance. Excellent documentation and cross-functional collaboration, including with external vendors/integrators. Nice to Have Prior Parloa production launches (voice + digital) and familiarity with its connectors, analytics, and deployment lifecycle. Cisco/Webex Contact Center (or similar CCaaS) exposure; understanding of SIP/telephony routing patterns. Experience working with Presidio or similar telephony/CCaaS systems integrators. Knowledge base engineering (taxonomy, chunking, relevance scoring) and Intercom Parloa migration experience. Cloud exposure (Azure/AWS/GCP) for secrets, logging, and serverless integration services. Familiarity with security frameworks and data handling in regulated environments. Tools & Stack Parloa , Google Dialogflow (CX/ES) (during transition) Intercom (source KB) Parloa-ingestible format Node.js/Python , REST APIs, OAuth/JWT, Git, CI/CD Observability/analytics (platform-native + custom dashboards)