6 Tts Jobs

SoftwareEngineer-L2Chatbot Engg Role! 3+yrs exp, Python (must), Java/Golang (good), Django, AWS, Postgres, NLP, LLMs/GenAI, ML, NLU, NLG, TTS, voice bots. Full-stack exp a plus. C2H with TE Infotech (Exotel). Loc: BLR. Apply: ssankala@toppersedge.com

Job Opening: Conversational AI Lead Location : Kalyani Nagar, Pune (Work from Office) Company : AM Infoweb Pvt. Ltd. Notice Period: Immediate Joiners or Maximum 1 Month About Us AM Infoweb is a fast-growing digital transformation partner delivering next-gen tech solutions. We are looking for a Conversational AI Lead to join our team and drive the development of advanced voice bot solutions from scratch using cutting-edge technologies like LLM and Machine Learning. Role: Conversational AI Lead Key Responsibilities: Lead the design and development of voice bots from scratch. Work extensively with Conversational AI technologies and tools. Utilize LLMs (Large Language Models) and Machine Learning for intelligent dialogue flow creation. Implement Text-to-Speech (TTS) and Speech-to-Text (STT) systems. Collaborate with cross-functional teams to integrate AI solutions with business needs. Write clean and scalable code, primarily in Python. Ensure performance, scalability, and security of voice applications. Requirements: Minimum 2 years of hands-on experience in Conversational AI. Proven experience in developing and deploying voice bots. Strong knowledge of LLM and ML frameworks. Expertise in TTS and STT systems and their integrations. Proficient in Python programming. Bachelors degree in Computer Science, Engineering, or a related field is mandatory. Strong problem-solving and communication skills. Must be open to work from office (Kalyani Nagar). Comfortable with self-travel (No cab facility provided). Why Join Us? Opportunity to lead innovation in Conversational AI. Work with a talented and tech-savvy team. Be part of impactful projects shaping the future of voice technology. If you're passionate about AI, voice tech, and Python and ready to lead we’d love to hear from you. Contact: Ruben Pawar- 7030396637 ruben.pawar@aminfoweb.co.in

The Opportunity: We are seeking a talented and experienced Senior AI Engineer to play a pivotal role in developing and enhancing our conversational AI capabilities across multiple modalities (text, voice/telephony) and building intelligent agents to drive workflow automation. You will work closely with our Director of AI Engineering, product managers, and other engineering teams to bring our AI vision to life, primarily focusing on fine-tuning off-the-shelf Large Language Models (LLMs) and developing agentic systems for end-users (members, CBO staff, healthcare providers). This is a unique opportunity to apply your AI expertise to solve meaningful problems in the social and healthcare space, directly impacting people's lives. What You'll Do: Conversational AI Development & Fine-Tuning (Text & Voice): Lead the fine-tuning, evaluation, and deployment of pre-trained LLMs (e.g., Gemini, GPT series, open-source models) to create natural, empathetic, and effective conversational experiences for various user interactions via text-based channels (chat, SMS) and voice-based telephonic systems (IVR chatbots). Develop and implement strategies for data collection, preparation, and augmentation to support model fine-tuning and continuous improvement for both text and voice modalities. Design and implement robust evaluation frameworks to measure conversational AI performance, including metrics for accuracy, fluency, empathy, task completion, and call handling efficiency for telephonic agents. Work on prompt engineering, context management, and dialogue flow design to optimize conversational AI interactions across channels. Integrate and manage speech-to-text (STT) and text-to-speech (TTS) services for telephonic AI solutions. Agentic System Development: Design, build, and deploy AI agents that can reason, make decisions, and take actions to automate and optimize key workflows within the platform (e.g., intelligent referral initiation, proactive follow-ups, task management assistance). Develop agents capable of interacting with internal platform APIs, external data sources, and potentially third-party tools to achieve their goals. Explore and implement techniques for agent planning, tool usage, and multi-step reasoning. Collaboration & Technical Leadership: Collaborate closely with the Director of AI Engineering to define AI strategy, architecture, and technical roadmap for conversational AI and agentic systems. Partner with Product Managers to understand user needs and translate them into technical requirements for AI features. Work with platform and application engineers to integrate AI models and agents into the broader ecosystem. Mentor junior engineers and contribute to building a strong AI engineering culture. Stay up-to-date with the latest advancements in LLMs, conversational AI (text and voice), agent-based systems, and MLOps. MLOps & Productionization: Contribute to the development and maintenance of our MLOps infrastructure for training, deploying, monitoring, and iterating on AI models and agents in production. Ensure AI systems are scalable, reliable, and maintainable. Back-end Development: Solid understanding of back-end development principles and experience building or integrating with APIs (e.g., RESTful services) to connect AI models and agents with broader application systems. Familiarity with database technologies (SQL and/or NoSQL) and practical experience in how AI systems interact with data storage and retrieval for training, inference, and logging. What You'll Bring: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 5+ years of hands-on experience in AI/ML engineering, with a significant focus on Natural Language Processing (NLP) and conversational AI. Demonstrable experience developing and deploying AI-powered telephonic chatbots or Interactive Voice Response (IVR) systems, including integration with STT/TTS technologies. Proven experience fine-tuning and deploying Large Language Models (LLMs) for specific tasks and domains. Strong understanding of model architectures, training techniques, and evaluation metrics. Demonstrable experience designing and building AI agents or systems that exhibit autonomous behavior, decision-making, and/or tool usage. Proficiency in Python and common AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex). Experience with cloud platforms (GCP preferred, AWS/Azure acceptable) and their AI/ML services (e.g., Vertex AI, SageMaker, cloud telephony APIs). Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and CI/CD for ML. Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to translate complex technical concepts to non-technical stakeholders. Proactive, self-starter with a passion for building impactful AI solutions. Nice to Haves: Experience working in the healthcare or social care domain. Familiarity with data privacy and security considerations in regulated environments (e.g., HIPAA). Experience with specific telephony platforms or APIs (e.g., Twilio, Vonage, Google Dialogflow CX). Contributions to open-source AI/ML projects.

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)