7 Speech Analytics Jobs nearby Madurai

Looking for AI Development Partner Teacherless Classroom ProjectNote: Freelancers can also apply Hello,I recently became the part of the top management of the College which is imparting & planning to impart courses like BA , BSC , BBA , BCOM , BCA , BEd et al, and were planning to build an AI-powered self-learning platform that can teach students without a human teacher in the classroom with native language alongwith local dialect of Kanpur & nearby districts. Our first focus is English Grammar & communication the AI will teach, guide, assess, and support students learning completely on its own. Later phases will include Maths, Reasoning, GK, and other academic subjects. Key Points: Phase 1: English Grammar & communication (interactive lessons, quizzes, auto-assessment, voice/speech practice) Future: Extendable to other subjects *Focus only on learning & tutoring no college management modules (no fees, attendance, etc.)*Web + Mobile (Android) platforms preferred*Adaptive learning, performance analytics & feedback features*Were looking for AI development companies or EdTech partners who can design and build this platform end-to-end.*If your team develops AI-driven learning or tutoring systems, please connect or email your proposal/demo.* Preference to those who are already having similar product and show the demo on immediate basis. Were looking for AI development companies or EdTech partners who can design and build this platform end-to-end. Freelancers with relevant experience are also welcome to apply. Contact:Ashok SachanEmail: ashok@bestinfosystems.co.inCell # (US): 475-293-6320Cell # (India): +91 9811626895 / +91 98103 33895WhatsApp: +91 9811626895LinkedIn: https://www.linkedin.com/in/ashoksachan/

As a Senior Engineer Data Scientist specializing in AI & Machine Learning, your role will involve leading the entire lifecycle of machine learning projects, from data acquisition and feature engineering to model training, validation, deployment, and monitoring in a cloud environment. You will also be responsible for architecting and implementing advanced Generative AI solutions, developing and fine-tuning Large Language Models (LLMs), and building robust Retrieval-Augmented Generation (RAG) and Multi-Modal RAG pipelines. Additionally, you will design and implement evaluation frameworks to measure the performance, fairness, and safety of LLMs and other generative models, ensuring they meet high standards for reliability and accuracy. Your responsibilities will also include performing deep-dive data analysis using advanced statistical methods, developing autonomous and semi-autonomous AI agents, and leveraging Google Cloud Platform (GCP) services to build scalable AI/ML solutions. Clear communication of technical concepts and model results to both technical and non-technical audiences will also be a crucial aspect of your role. Key Responsibilities: - Lead end-to-end model development for machine learning projects - Architect and implement advanced Generative AI solutions - Design and implement evaluation frameworks for AI systems - Perform deep-dive data analysis using advanced statistical methods - Research and develop autonomous AI agents - Utilize Google Cloud Platform services for building AI/ML solutions - Communicate complex technical concepts effectively to various audiences Qualifications Required: - Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field - Six or more years of professional experience in data science, machine learning, or a related role - Expert-level proficiency in Python and its core data science libraries - Deep theoretical and practical knowledge of machine learning algorithms and deep learning - Hands-on experience in developing and deploying Generative AI solutions - Strong proficiency in SQL for data extraction and analysis - Experience with cloud computing platforms, specifically Google Cloud Platform If you have the following qualifications, it would be even better: - Master's or Ph.D. in a relevant quantitative field - Practical experience in developing AI agents using specific frameworks - Experience in designing and implementing robust LLM evaluation metrics - Experience with voice and speech technologies - Familiarity with MLOps/LLMOps principles and tools - GCP Professional Machine Learning Engineer certification Kindly note that the above-mentioned qualifications and requirements are essential for excelling in this role as a Senior Engineer Data Scientist in the field of AI & Machine Learning.,

As a highly capable machine learning engineer, you will be responsible for optimizing machine learning systems by evaluating existing processes, performing statistical analysis, and enhancing the accuracy of AI software's predictive automation capabilities. Your expertise will directly impact the performance of predictive automation software. **Key Responsibilities:** - Consulting with managers to determine and refine machine learning objectives. - Designing machine learning systems and AI software for automation of predictive models. - Transforming data science prototypes and applying appropriate ML algorithms and tools. - Ensuring accurate user recommendations by developing algorithms. - Converting unstructured data into useful information through auto-tagging images and text-to-speech conversions. - Solving complex problems with multi-layered data sets and optimizing existing ML libraries and frameworks. - Analyzing historical data volumes to make predictions using ML algorithms. - Running tests, performing statistical analysis, and documenting machine learning processes. - Staying updated on developments in the field of machine learning. **Qualifications Required:** - Bachelor's degree in computer science, data science, mathematics, or related field. - Master's degree in computational linguistics, data analytics, or similar (advantageous). - Minimum of two years' experience as a machine learning engineer. - Proficiency in Python, Java, and R for code writing. - Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. - Deep understanding of mathematics, statistics, and algorithms. - Strong analytical and problem-solving skills. - Excellent communication, collaboration, time management, and organizational abilities. In addition to the above, you will be expected to work full-time on-site and possess at least one year of total work experience. Please note that this job requires in-person work at the specified location. As a highly capable machine learning engineer, you will be responsible for optimizing machine learning systems by evaluating existing processes, performing statistical analysis, and enhancing the accuracy of AI software's predictive automation capabilities. Your expertise will directly impact the performance of predictive automation software. **Key Responsibilities:** - Consulting with managers to determine and refine machine learning objectives. - Designing machine learning systems and AI software for automation of predictive models. - Transforming data science prototypes and applying appropriate ML algorithms and tools. - Ensuring accurate user recommendations by developing algorithms. - Converting unstructured data into useful information through auto-tagging images and text-to-speech conversions. - Solving complex problems with multi-layered data sets and optimizing existing ML libraries and frameworks. - Analyzing historical data volumes to make predictions using ML algorithms. - Running tests, performing statistical analysis, and documenting machine learning processes. - Staying updated on developments in the field of machine learning. **Qualifications Required:** - Bachelor's degree in computer science, data science, mathematics, or related field. - Master's degree in computational linguistics, data analytics, or similar (advantageous). - Minimum of two years' experience as a machine learning engineer. - Proficiency in Python, Java, and R for code writing. - Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. - Deep understanding of mathematics, statistics, and algorithms. - Strong analytical and problem-solving skills. - Excellent communication, collaboration, time management, and organizational abilities. In addition to the above, you will be expected to work full-time on-site and possess at least one year of total work experience. Please note that this job requires in-person work at the specified location.

As a ML Research Engineer - ASR at Kaizen Secure Voiz Private Limited, your key responsibilities will include: - Developing and implementing Voice Biometric algorithms and models. - Evaluating and analyzing the performance of Voice Biometric systems. - Implementing advanced security measures to protect biometric data and ensure compliance with privacy regulations. - Optimizing the performance of biometric systems to ensure fast and accurate identification and authentication. - Fine-tuning algorithms and parameters to improve system efficiency and reliability. - Collaborating with cross-functional teams to integrate Voice Biometric solutions into various applications and systems. - Staying updated with the latest advancements in Voice Biometric technology and contributing to research activities. Qualifications required for this role: - Bachelor's degree in computer science, data science, mathematics, or a related field. - Masters degree in computational linguistics, data analytics, or similar will be advantageous. - At least two years" experience as a machine learning engineer. - Advanced proficiency with Python, Java, and C code writing. - In-depth knowledge of Deep Learning and Machine Learning Algorithms. - Strong knowledge of Kaldi, Speechbrain, Wespeaker, 3D-Speaker, Unispeech, Nemo etc. - Proficiency in speaker verification, Speaker Identification, Speaker Diarization, Anti-spoofing. - Strong programming and algorithm development skills. - Ability to work independently and as part of a team. - Basic knowledge in signal processing.,

You will be responsible for optimizing machine learning systems, evaluating existing ML processes, and enhancing the accuracy of AI software's predictive automation capabilities. Your key responsibilities will include: - Consulting with managers to determine and refine machine learning objectives. - Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. - Transforming data science prototypes and applying appropriate ML algorithms and tools. - Ensuring that algorithms generate accurate user recommendations. - Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. - Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks. - Developing ML algorithms to analyze huge volumes of historical data for predictions. - Running tests, performing statistical analysis, and interpreting test results. - Documenting machine learning processes. - Keeping abreast of developments in machine learning. Qualifications required for this role: - Bachelor's degree in computer science, data science, mathematics, or a related field. - Masters degree in computational linguistics, data analytics, or similar will be advantageous. - At least two years" experience as a machine learning engineer. - Advanced proficiency with Python, Java, and R code writing. - Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. - In-depth knowledge of mathematics, statistics, and algorithms. - Superb analytical and problem-solving abilities. - Great communication and collaboration skills. - Excellent time management and organizational abilities. Please note that the job also requires skills in Artificial Intelligence (AI), Deep Learning, and PowerBI.,

You will be responsible for designing and implementing real-time AI voice agent systems using Twilio for inbound and outbound calls. Your role will involve developing backend services using FastAPI or Express.js for voice session control, call routing, and AI response management. Integration of Speech-to-Text (STT) and Text-to-Speech (TTS) APIs like Whisper, Deepgram, ElevenLabs, and OpenAI TTS will be a key aspect of your responsibilities. Additionally, you will be tasked with building and optimizing real-time audio streaming pipelines using WebRTC, RTP, or Twilio Media Streams. Implementing Large Language Models (LLMs) such as GPT-4 / OpenAI Realtime for contextual AI-driven conversations will also be part of your duties. Managing session memory, call context, and message states using Redis or similar technologies, handling call recording, transcription, and analytics pipelines, as well as collaborating with AI engineers and frontend teams (React/Next.js) to ensure full system integration are crucial responsibilities. Your focus will be on optimizing latency, reliability, and performance in low-latency environments. - Design and implement real-time AI voice agent systems using Twilio - Develop backend services for voice session control and AI response management - Integrate Speech-to-Text and Text-to-Speech APIs such as Whisper, Deepgram, ElevenLabs, and OpenAI TTS - Build and optimize real-time audio streaming pipelines - Implement Large Language Models for contextual AI-driven conversations - Manage session memory, call context, and message states - Collaborate with AI engineers and frontend teams for system integration - Focus on optimizing latency, reliability, and performance - Strong proficiency in Python (asyncio, FastAPI) or Node.js (Express.js) - Experience with Twilio Voice, WebRTC, or similar real-time communication frameworks - Knowledge of speech APIs like Whisper, Deepgram, Google Speech, OpenAI TTS - Understanding of event-driven architectures and LLM APIs - Familiarity with PostgreSQL, SQLAlchemy/SQLModel, Docker, REST API design - Strong debugging, analytical, and problem-solving skills - Ability to work independently, manage time efficiently, and meet project deadlines ,

You will be working with Zudu AI, a company that specializes in transforming traditional call centers with human-like AI voice agents to automate customer interactions in various languages. Your role as Chief Technology Officer (CTO) will involve leading the technology roadmap and developing AI-driven voice automation solutions on a global scale. **Key Responsibilities:** - **Technology Strategy & Leadership** - Develop and own the technical vision and product roadmap for AI, telephony, and enterprise integrations. - Evaluate and integrate open-source and proprietary models (ASR, TTS, LLMs, embeddings) for scalable pipelines. - Ensure architecture is scalable, reliable, and low-latency to manage millions of concurrent calls. - **Product Development & Engineering** - Lead a diverse team covering Java backend, Next.js frontend, Python AI/ML, and DevOps/Kubernetes. - Drive the design and development of APIs, dashboards, and call analytics platforms. - Oversee cloud infrastructure including multi-cloud/Kubernetes, on-prem GPU clusters, and CI/CD pipelines. - **AI/ML & Voice Tech Innovation** - Innovate multilingual TTS, ASR, and LLM prompt engineering for human-like AI conversations. - Develop intellectual property in areas like real-time speech synthesis, embeddings, and post-call analytics. - Lead applied research and proof of concepts with enterprises and CPaaS partners. - **Security & Compliance** - Ensure readiness for SOC2, GDPR, and HIPAA through secure logging, encryption, and RBAC. - Manage regulatory compliance for telecom and AI deployments on a global scale. - **Team & Culture** - Recruit, mentor, and expand high-performance engineering and AI teams. - Cultivate an environment that promotes innovation, ownership, and speed. **Qualifications Required:** - 10+ years of technical leadership experience in AI, enterprise SaaS, or large-scale distributed systems. - Extensive knowledge in AI/ML (LLMs, TTS, ASR), cloud infrastructure (Kubernetes, multi-cloud, GPUs), and telephony (SIP, CPaaS, RTC). - Demonstrated ability to scale systems for millions of users/transactions with low latency. - Previous experience in startup/early-stage environments and product development from inception to scale. - Strong understanding of security, compliance, and enterprise readiness. - Entrepreneurial mindset with the capability to balance hands-on execution and high-level vision. This role offers competitive ownership in a high-growth AI company through Equity/ESOPs. You will have the opportunity to pioneer category-defining AI technology from scratch in a fast-paced, global startup setting with direct collaboration with the founder/CEO and global partners.,

As a Speech Analyst at Observe.AI, your main responsibility will be to analyze spoken language data and derive insights. You will need a strong background in data mining within speech and text analytics, data analysis, or a related area, with experience in speech recognition, NLP, or voice analytics. In this role, you will collaborate with cross-functional teams to enhance speech-based applications, customer interactions, and AI voice technologies. - Configure and automate quality assurance processes. - Understand customer quality evaluation forms for pilots and proof of concepts. - Configure trackable points of interest from evaluation forms into the Observe.AI dashboard. - Automate scoring for evaluation forms using speech analytics tools. - Audit and resolve accuracy issues of voice analytics data to reduce false readings. - Provide thought leadership and refresh speech analytic configurations. - Learn each customer's business processes and KPIs for business process analysis and improvement. - Collaborate with customer business leaders to identify, plan, and execute strategic analytical objectives using Observe.AI's voice analytics tools. - Anticipate and identify issues and conflicts to diffuse potential problems. - Provide an escalation path to ensure swift resolution of customer issues. - Build Speech Based queries for key business metrics. - Automate QA processes to help customers glean insights from up to 100x the volume of evaluations they were before. - Develop playbooks and thought leadership by vertical and horizontal. - Share incredible stories of business impact and positive change within customers. - Experience working with speech analytic tools to identify key points of interests within contact center interactions. - Bachelors or Masters degree in Linguistics, Data Science, Computer Science, Cognitive Science, or a related field. - Understanding of call center KPIs such as AHT, CSAT, FCR, Upsell, Call Driver, NPS, etc. - Analyze voice and chat interactions to identify trends, pain points, and opportunities across customer touchpoints. - Excellent verbal and written communication skills to engage effectively with customers in various scenarios. - Ability to work independently and be a team player in a technology-driven environment. - Knowledge of GenAI prompts for query building will be an added advantage. Observe.AI is committed to creating an inclusive culture that celebrates diversity and respects all individuals. The company welcomes talented people from all backgrounds and encourages individuals from non-traditional backgrounds, historically marginalized, or underrepresented groups to apply.,

As a Contact Center Subject Matter Expert (SME) specialized in Auto Dialer implementation for the Collections Department, your primary role will be to lead the implementation of an Auto Dialer system for outbound contact center operations in a banking environment. Your responsibilities will include: - Leading the implementation of an Auto Dialer system (Predictive, Progressive, and Preview dialing modes) for collections operations. - Designing and optimizing campaign management strategies, call prioritization, segmentation, and agent workflows. - Ensuring compliance with TCPA, FDCPA, GDPR, and other banking regulations related to outbound calling. - Defining and implementing dialer performance KPIs such as connect rates, agent occupancy, and right-party contact (RPC) rates. - Working with AI-driven analytics and voice bots to enhance automated debt recovery and reduce agent workload. - Overseeing agent scripting, call disposition management, and automated follow-up processes. - Ensuring workforce management (WFM) alignment to optimize agent productivity and call load balancing. - Collaborating with IT, vendors, and business stakeholders to ensure a scalable and efficient dialer deployment. - Monitoring dialer performance and optimizing algorithms for better efficiency and regulatory adherence. To excel in this role, you should possess: - 5+ years of experience in contact center and auto dialer implementation within banking or financial services. - Hands-on expertise with Auto Dialer solutions like Genesys, Avaya, Cisco, Five9, Aspect, NICE, or equivalent. - Strong knowledge of predictive, progressive, and preview dialing modes. - Experience with collections operations, debt recovery strategies, and compliance-driven calling processes. - Understanding of speech analytics, AI-powered call automation, and self-service solutions. - Deep expertise in campaign management, call flow design, and outbound call center optimization. - Knowledge of multi-country, multi-currency collections processes. - Experience in data analytics, reporting, and dialer performance optimization. - Strong project management and stakeholder management skills. Preferred qualifications include certifications in Genesys, Avaya, Cisco, Five9, Aspect, or NICE dialer systems, experience in AI-driven conversational bots and automated debt collection solutions, and a background in compliance frameworks for outbound collections.,

As a founding team member at an extremely early stage, you'll play a crucial role in building a category-defining product, leading engineering efforts from day zero, and shaping the technical DNA of the company. The mission is to redefine how businesses capture, analyze, and act on customer conversations, competing with industry leaders like Gong, Fireflies, and Avoma. The AI SaaS platform aims to unlock powerful insights, deliver seamless integrations, and enable the next generation of conversation intelligence. **Key Responsibilities:** - End-to-end product & engineering ownership: including architecture, development, deployment, and scaling - Define the tech vision & roadmap for AI-powered conversation intelligence - Lead the development of core product features such as real-time transcription, NLP, analytics, and integrations - Drive AI/ML innovation by working with cutting-edge technologies like LLMs, speech-to-text, embeddings, RAG, and automation models - Design scalable and secure infrastructure systems tailored for enterprise needs - Build and lead the engineering & ML teams through strategic hiring - Ensure security & compliance standards are met, including enterprise-grade privacy, SOC2 readiness, and data governance - Collaborate with founders, design, and enterprise users to deliver customer-facing solutions that matter - Participate in fundraising activities by shaping the technical narrative alongside the founders **Qualifications:** - 4-10 years of experience in building and scaling B2B SaaS platforms - Deep expertise in Speech AI (STT, diarization, sentiment, call analytics), NLP/LLMs, scalable backend engineering, and Cloud DevOps - Comfortable working with ambiguous requirements and building innovative products - Experience integrating with enterprise ecosystems such as CRMs, dialers, meeting platforms, and APIs - Strong bias for speed, iteration, and ownership in the development process - Bonus points for having shipped ML products, led engineering teams, or worked in AI infrastructure In this role, you will have the opportunity to: - Attain co-founder status with meaningful equity/sweat equity - Enjoy full ownership and freedom to architect, build, and scale the product - Influence the company vision, product direction, and hiring culture - Work in a fast-moving environment where execution, innovation, and ownership are highly valued Join this exciting journey to build a high-impact AI product with real global scale potential.,

Role Overview: As the Vice President of Product Management at Darwix AI, you will be responsible for owning the end-to-end product charter. This role requires setting the vision, strategy, and execution frameworks to accelerate Darwix AI's transition from a high-growth scale-up to a global category leader. Reporting directly to the CEO, you will manage the entire product organization, including product managers, designers, and analysts. Collaboration with Engineering, AI Research, Sales, and Customer Success teams is crucial to deliver revenue-driving capabilities. Key Responsibilities: - Develop a three-year product vision positioning Darwix AI as the default GenAI operating system for global revenue teams. - Translate market trends, competitive intelligence, and customer feedback into a prioritized roadmap for growth and differentiation. - Establish and govern quarterly OKRs to ensure cross-functional alignment on outcomes and resources. - Collaborate with VP Engineering and Head of AI Research to balance innovation with technical feasibility, security, and compliance. - Scale the product organization while preserving a high-ownership culture and developing robust career ladders and coaching programs. - Define and monitor the product P&L, implement real-time analytics, and champion rigorous experimentation to validate hypotheses. Qualifications Required: - 10-15 years of experience in product roles within B2B SaaS or platform companies, with leadership of AI/analytics product lines. - Proven ability to scale a product organization while improving delivery velocity and quality. - Technical depth in discussing API contracts, data schemas, and security models. - Strong communication and executive-level storytelling skills. - Track record of shipping features with measurable revenue impact, user adoption growth, and retention improvements. - Bachelor's in Engineering/Computer Science; MBA is a plus but not mandatory. About Darwix AI: Darwix AI is a GenAI SaaS platform revolutionizing enterprise sales, service, and field teams across India, MENA, and Southeast Asia. Products like Transform+, Sherpa.ai, and Store Intel provide multilingual speech-to-text, LLM-powered real-time coaching, behavioral scoring, and computer-vision insights to customers such as IndiaMart, Wakefit, Bank Dofar, Sobha, and GIVA. Backed by marquee investors and led by IIT/IIM/BITS alumni, Darwix AI is on the cusp of global expansion. Apply now by sending your resume to careers@darwix.ai with the subject line: Application - VP Product [Your Name]. If you are ready to shape the strategic product landscape of a category-defining company, Darwix AI welcomes your application.,

Role Overview: As a Data Scientist Associate at JPMorgan Chase within the Asset & Wealth Management, you will be an integral part of an agile team focused on enhancing, designing, and delivering data collection, storage, access, and analytics solutions in a secure, stable, and scalable manner. Your role within the data engineering team will involve executing data solutions through designing, developing, and technically troubleshooting multiple components within technical products, applications, or systems, while also gaining valuable skills and experience to progress in your career. Key Responsibilities: - Collaborate with all of JPMorgan's lines of business and functions to deliver software solutions. - Experiment, develop, and productionize high-quality machine learning models, services, and platforms to drive significant technology and business impact. - Design and implement highly scalable and reliable data processing pipelines, conduct analysis and insights to optimize business results. - Contribute to a team culture that values diversity, opportunity, inclusion, and respect. Qualification Required: - Formal training or certification in Data Science concepts and a minimum of 2 years of applied experience. - Strong programming skills with Python/Java or other equivalent languages. - Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics. - Expertise in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. - Familiarity with machine learning frameworks such as Tensorflow/Pytorch. - Proficiency in prompt engineering and experience in ETL data pipelines for both batch and real-time data processing, Data warehousing, NoSQL DB, and Elastic. - Knowledge of Cloud Technologies such as AWS/GCP/Azure and Kubernetes.,

You will be responsible for monitoring and evaluating calls to assess agent performance and customer interactions, identifying trends, and areas for improvement. You will also provide constructive feedback and coaching to agents, conduct training sessions, and work with team leads to develop performance improvement plans. Your role will involve ensuring adherence to company policies, procedures, and industry regulations, maintaining accuracy in scripts and call flows, identifying non-compliance issues, and suggesting corrective actions. Additionally, you will generate reports on quality scores, trends, and agent performance, analyze customer feedback and complaints, and recommend process improvements. Collaborating with management to refine quality standards and training materials, suggesting strategies to improve first-call resolution and reduce call handling time, and staying updated on industry best practices and customer service trends will be part of your responsibilities. Qualifications: - Bachelor's degree or equivalent experience in a call center environment. - Proven experience as a Quality Analyst, Customer Service Trainer, or Call Center Supervisor. - Strong knowledge of call center operations, metrics, and quality monitoring tools. - Excellent analytical, listening, and communication skills. - Ability to provide effective feedback and coaching. - Experience with CRM and call monitoring systems is a plus. Preferred Qualifications: - Certification in Quality Assurance or Customer Service Management. - Experience in a BPO, customer support, or telecom industry. - Familiarity with speech analytics, AI-driven quality monitoring, and process automation tools. Please note that the work location is in person, and the schedule includes day and morning shifts. There are performance bonuses and yearly bonuses offered as benefits. For further details, you can contact the employer at +91 9072229941.,

As an experienced Implementation & Support specialist, your role will involve recording issue resolutions at L2 & L3 levels, performing patch updates & upgrades, troubleshooting WFM issues, and handling archiving issues and speech analytics. You will be required to participate in P1/P2 escalation calls, open tickets, and manage escalations with OEMs and other manufacturers when necessary. It is essential to comply with internal workflow procedures, complete administrative duties such as project task reporting, timesheets, and adhere to ticket open/close policies. Periodic on-call duties will be required, and you will need to provide Root Cause Analysis (RCA) to customers as needed. Additionally, your role may involve providing presales support. Key Responsibilities: - Record issue resolutions at L2 & L3 levels - Perform patch updates & upgrades - Troubleshoot WFM issues - Handle archiving issues and speech analytics - Participate in P1/P2 escalation calls and provide timely updates to customers - Open tickets and manage escalations with OEMs and other manufacturers - Comply with internal workflow procedures and administrative duties - Provide RCA to customers as required - Offer presales support Qualifications Required: - Excellent customer relations/service skills - Strong communication skills, both written and oral, with a focus on clarity and delivery of information - Ability to prioritize and multitask effectively - Strong analytical, reasoning, organizational, and project task management skills - Exceptional attention to detail, follow-through, and documentation - Understanding of business systems technologies - Excellent interpersonal skills - Self-motivated with the ability to work independently or as part of a team - Ability to work under pressure, handle multiple assignments, prioritize work, and take full responsibility for decisions - Certification required for loggers such as NICE, Verint, Avaya Loggers, WFM, WFO Experience: - 8+ years of Implementation & Support Experience working with various loggers - Proven expertise with NICE, Verint, Avaya, Engage, WFO, AWFO, WFM, etc. - Well-versed in Contact Center portfolio - Comprehensive knowledge of technologies commonly found in a Contact Center environment, including Microsoft OS (Client and Server), Microsoft Office, and Web-based applications/interfaces.,

As a Data Engineer II - Speech Analytics at Etech Insights in Gandhinagar, here is what you can expect: **Role Overview:** You will be responsible for initiating the launch of audit processes for new campaigns assigned by the Project Leader or Account Leader. Your role will involve interacting with Operations to ensure that QA support expectations for the campaigns are met. Understanding the SLA of the campaigns and ensuring compliance will be crucial. Additionally, you will design Audit Forms, obtain approvals, and place them online in QEval. Initiating MI/BI studies, driving process improvements, and possessing overall knowledge of audited campaigns will be part of your responsibilities. Monitoring QA team utilization, audit accuracy, setting up calibrations, and maintaining schedule adherence are essential tasks. You will also act as a role model for Leaders and Team Members, adhere to company policies, provide excellent customer communication, and champion a spirit of mutual learning, trust, and respect. Data analysis, reporting, KPI management, training program design, and crisis management are key components of this role. **Key Responsibilities:** - Initiate audit processes for new campaigns - Interact with Operations to ensure QA support expectations are met - Design Audit Forms and obtain necessary approvals - Conduct MI/BI studies as required - Monitor QA team utilization and audit accuracy - Act as a role model for Leaders and Team Members - Conduct data analysis and derive actionable insights - Create and interpret reports on contact center performance - Manage key performance indicators (KPIs) to drive team performance - Design and implement effective training programs - Handle unexpected situations calmly and effectively **Qualifications Required:** - Graduate or equivalent experience in BPO call monitoring and auditing - Minimum 3-4 years of experience in speech analytics - Good technical knowledge including API, Metadata, Queries, Python language - Experience working as a leader - Proficiency in PPT and Advanced Excel - Strong interpersonal skills and ability to influence - Excellent written and verbal communication skills - Strong planning and organizational skills - Ability to work to deadlines and targets Please note: Transportation allowance, canteen subsidy, health insurance, tuition reimbursement, incentive components, work-life balance initiatives, rewards, recognition, and internal movement opportunities through IJP are some of the benefits that Etech offers.,

As a Resource Planning Analyst at Assurant, your role involves supporting the European operation by developing, implementing, and managing short- to medium-term forecasting models, staff scheduling strategies, and intraday resource management processes to accurately define detailed staffing requirements. This position will be based in Hyderabad/Bangalore/Chennai at the India location, with working hours from 1:30 PM IST to 10:30 PM IST. **Key Responsibilities:** - Produce and conduct in-depth analysis of operational performance data to inform decision-making. - Act as the subject matter expert on customer contact behavior, focusing on identifying trends related to seasonality, special events, and school holidays. - Ensure optimal scheduling of operational resources across Europe, maintaining efficiency and service standards. - Review full-time flexible staff contractual agreements and advise senior leadership on necessary changes based on customer demand patterns. - Monitor and analyze the part-time staff population, ensuring their working arrangements align with business needs. - Collaborate with outsourcing partners to share best practices and drive cost-effective resource utilization. - Develop short- to medium-term forecasting for comprehensive resource models and cost initiatives. - Create accurate demand forecasts considering trends and business changes. - Produce and deliver daily MI, month-end MI, and other required reports accurately and timely. - Develop tools and software to capture and track key performance metrics. - Continuously improve reporting standards to reduce production and delivery time. - Implement improvements to procedures and working practices using innovative methods and technology. - Work with NICE WFM and Cisco telephony-based platform. - Be available to senior operational management for resource planning and MI queries. - Analyze customer behavior versus resource availability, maintain optimized shift patterns, and ensure timely delivery of schedules. - Influence SLA performance and initiate positive improvements to working schedule practices. - Communicate effectively at all levels and handle skill changes for Contact Centre Advisors. - Create plans that align closely with Business Continuity in disaster recovery situations. **Qualifications Required:** - Contact centre Industry experience in forecasting, scheduling, or operational analytical role. - Understanding of forecasting methodologies and best practices. - Knowledge of Resourcing, attrition, hiring, throughput assumptions, and methodologies. - Proficiency in Microsoft Office packages, especially Excel and data manipulation. - Database management, CRM, Contact Centre Telephony, and workflow IVR understanding. - Database experience with Visual Basic, XML, PowerBI, and SQL. - Experience with omni-channel tools like web chat, AI, and speech analytics. - Familiarity with contact centre and back-office functions. - Ability to interpret and analyze statistical data. - Strong communication skills and proficiency in English (C1/C2) written and verbal. **Additional Company Details (if available):** The company values proactive individuals who strive to identify opportunities for performance improvement and cost reduction. Positive attitude towards change, teamwork, and achieving department objectives are highly appreciated. Please note that the working hours for this position are 1:30 PM IST to 10:30 PM IST.,

As an employee at Infosys Center for Emerging Technology Solutions (iCETS), you will be part of the team incubating NextGen services in areas such as AI, ML, Blockchain, Computer Vision, Conversational interfaces, AR, VR, Deep Learning, and advanced analytics. Your role will involve supporting marketing and advocacy campaigns to enhance brand recall and mindshare. This includes coordinating branding activities, promoting internal and external events, highlighting unit achievements, and endorsing thought leadership. Your key responsibilities will include collaborating with various Centers of Excellence to articulate solutions for business clients, working with cross-functional teams for marketing collateral creation, and contributing to various marketing artifacts such as mailers, newsletters, social media posts, webinars, and case studies. You will be involved in showcasing technology solutions creatively, handling marketing campaigns for events, and ideating content for client contextualization. In terms of technical requirements, you are expected to have skills in Domain Marketing, Brand Management, Direct Marketing, CRM, Below the line marketing, digital marketing, and Market Research. Additionally, you should be able to work with clients to identify business challenges, stay updated with the latest technologies and trends, possess logical thinking and problem-solving skills, collaborate effectively, assess current processes for improvement, and have industry domain knowledge. The preferred skills for this role include expertise in Marketing, Brand Management, Direct Marketing & CRM, Below the line marketing, digital marketing, and Market Research.,

As a Technical Program Manager in the Trust & Safety team at YouTube, your role requires US based cross-functional collaboration to deliver Governance Solutions. You must be willing to work between the hours of 2PM-1AM IST Monday through Friday. By applying to this position, you will have an opportunity to share your preferred working location from Hyderabad, Telangana, India or Bengaluru, Karnataka, India. **Role Overview:** Fast-paced, dynamic, and proactive, YouTube's Trust & Safety team is dedicated to creating a safe environment for users, viewers, and content creators worldwide. You will play a key role in enabling Global Vendor Operations (GVO's) security and access operations to support the growth of vendor support roles, including AI-enabled solutions. Collaborating with product management, engineering, and legal teams, you will balance risk mitigation with business enablement to enhance the YouTube experience and protect free speech. **Key Responsibilities:** - Collaborate with product, engineering, and legal teams to balance business needs with risk mitigation. - Create and implement new programs, frameworks, and policies to manage the complexities of outsourced support, particularly those that use AI. - Consult on policies, testing controls, managing risk reports, and ensuring compliance with security and privacy standards. **Qualifications Required:** - Bachelor's degree or equivalent practical experience. - 8 years of experience in technical project management or a customer-facing role. - Master's degree in Business, Statistics, Mathematics, Economics, Engineering, or Applied Science, or a related field (preferred). - 8 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. - Experience in privacy, security, or compliance, and with privacy principles and technologies. - Experience in program management and managing cross-functional projects. - Ability to navigate ambiguity and work in a fluid environment. - Excellent presentation and communication skills. At YouTube, everyone deserves to have a voice, and you will play a vital role in making the world a better place by enhancing internet safety and protecting free speech. Join us in exploring new ideas, solving real problems, and moving at the speed of culture to show people the world.,

As a NICE CXone Developer at our company, your role will involve designing, developing, and maintaining contact center solutions using NICE CXone. This includes scripting IVR flows, integrating third-party systems, optimizing omnichannel routing, and ensuring performance and compliance. Your strong technical expertise, problem-solving skills, and ability to collaborate with cross-functional teams will be crucial for success. **Key Responsibilities:** - Design, develop, and configure NICE CXone routing scripts and IVR flows - Build and maintain integrations with third-party applications - Develop agent desktop workflows and optimize omnichannel routing - Create and maintain API-based integrations - Monitor and troubleshoot contact center performance - Collaborate with stakeholders to gather requirements and deliver solutions - Develop and maintain dashboards and reports - Ensure compliance with security and regulatory standards - Provide technical support, testing, and documentation **Primary Skills:** - NICE CXone Studio scripting and IVR call flows - NICE CXone APIs and SDKs - ACD, IVR, WFM, QM, Analytics, Reporting modules - Omnichannel configurations (voice, email, chat, SMS, social) - API-based integrations (REST/SOAP, web services) - Cloud architecture (AWS/Azure/GCP) - JavaScript, Python, .NET (preferred) - CRM integrations (Salesforce, ServiceNow, MS Dynamics) **Secondary Skills:** - Real-time dashboards and custom reporting - Contact center performance monitoring and optimization - Security and regulatory compliance - AI-driven CX solutions and RPA tools - Workforce Engagement Management (WEM), Quality Management (QM), Speech Analytics **Experience:** - Proven experience as a NICE CXone Developer or similar role - Experience in cloud-based contact center platforms - Experience in developing and supporting omnichannel routing - Familiarity with CRM and third-party integrations **Additional Responsibilities:** - Stay updated with NICE CXone product enhancements - Contribute to continuous improvement initiatives - Support training and knowledge sharing across teams You are expected to have certifications such as NICE CXone Mpower Certifications (WFM, QM, Interaction Analytics, CXone Bots, etc.), NICE InContact CIP Core / Core Plus, ACD/IVR Implementation Certification, Feedback Management Implementation Certification, NICE CXone Agent for Salesforce Implementation, NICE CXone Enlighten AutoSummary Implementation. Please note that educational qualifications are not explicitly mentioned in the job description, but typically a Bachelor's degree in Computer Science, IT, or a related field is expected.,

As a Data Scientist at EbizON, you will be responsible for analyzing complex datasets, developing data-driven models, and generating actionable insights to support strategic decision-making. You will collaborate with cross-functional teams to design and implement predictive models and machine learning solutions. The ideal candidate for this role is highly analytical, detail-oriented, and passionate about leveraging data to drive innovation and business growth. Key Responsibilities: - Data Modeling & Analysis: Design and develop models to analyze speech, text, and interaction data, including preprocessing pipelines, feature engineering, and outcome evaluation. - Machine Learning Implementation: Build and fine-tune models leveraging LLMs, NLP techniques, ASR/TTS outputs, and structured/unstructured datasets to improve conversational understanding and recommendations. - Experimentation & Evaluation: Design experiments (A/B tests, user behavior analysis), implement evaluation metrics, and continuously iterate on models to improve performance and engagement. - Data Integration: Work with backend teams to integrate ML pipelines into production workflows, APIs, and data stores ensuring robust, scalable data-driven solutions. - Trust, Privacy & Ethics: Collaborate with engineering and compliance teams to ensure data pipelines adhere to privacy laws (PII/PHI), encryption standards, and healthcare guidelines (HIPAA/SOC2). - Collaboration with Cross-Functional Teams: Partner with product, clinical, and engineering teams to translate business requirements into data-driven strategies and actionable insights. - Monitoring & Observability: Implement monitoring, error tracking, and data quality checks for models in production to ensure reliability and fairness. - Accessibility & Fairness: Incorporate accessibility guidelines (ADA/WCAG 2.2), fairness audits, and bias mitigation techniques to ensure inclusive solutions. Required Skills & Experience: - 3 Years Experience in Data Modeling, Machine Learning & AI. - Machine Learning & AI: Hands-on experience with NLP pipelines, LLMs, embeddings, intent classification, speech analytics, or recommendation systems. - Data Engineering: Skilled in building ETL pipelines, data wrangling, feature extraction, and data visualization from large datasets (structured and unstructured). - Statistical Analysis & Experimentation: Experience in hypothesis testing, A/B experiments, causal inference, or clinical outcome analysis. - Programming: Proficiency in Python (Pandas, scikit-learn, TensorFlow/PyTorch), SQL, and APIs for data integration. - Cloud Infrastructure: Familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker), data lakes, and distributed computing frameworks. - Security & Privacy: Understanding of data encryption, secure storage, and compliance frameworks related to PHI/PII. - Healthcare Domain Knowledge: Experience with healthcare datasets, patient data, or compliance requirements like HIPAA or SOC2 is preferred. - Communication & Collaboration: Ability to explain data-driven insights clearly to non-technical stakeholders, work across product, engineering, and clinical teams. - Problem Solving & Curiosity: Strong analytical mindset with a passion for deriving insights from complex data and designing models that drive user experience improvements. About Us: EbizON is an international team specializing in building technology products and helping brands grow with multi-channel demand generation marketing. The company values integrity, creativity, innovation, mindfulness, and teamwork. EbizON provides equal opportunities for all employees and believes in flexible working hours to help employees thrive and maintain a work-life balance. The company also offers global client exposure and organizes retreats, town halls, and festive celebrations to foster a fun and friendly work culture.,