100 Asr Jobs - Page 2

Primary Responsibilities: Develop and Deploy ML Models: Code and develop software that deploys machine learning models and algorithms into production environments, with a focus on healthcare applications Communication: Present complex analytics results and concepts to leadership and internal stakeholders in a clear and concise manner AI/ML Technologies: Employ AI/ML techniques, including NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and ASR Deep Learning Applications: Apply deep learning technologies to enable computers to visualize, learn, and respond to complex healthcare situations. Adapt machine learning to areas such as AI, robotics, and other interactive healthcare products Experimental Methodologies: Apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning for tool building and statistical analysis using both general-purpose software and statistical languages Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so #niche #NJP Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field Proven experience in AI/ML engineering, with a strong track record of deploying machine learning models into production, preferably in the healthcare industry Solid understanding of experimental methodologies, statistics, optimization, and probability theory Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Proven excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders. Proven ability to work collaboratively with cross-functional teams, including healthcare professionals, IT, and customer service departments At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission.

As a talented Full Stack Developer with expertise in Generative AI and Natural Language Processing, you will be a key member of our team, contributing to the design, development, and scaling of cutting-edge LLM and Generative AI applications to enhance user experiences. Your responsibilities will include developing backend logic and intelligent workflows using pre-trained AI models such as large language models (LLMs) and natural language understanding (NLU) engines. You will integrate and operationalise NLP and Generative AI models in production environments, including speech processing pipelines like automatic speech recognition (ASR) and text-to-speech (TTS) technologies. Applying techniques such as LLM fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG) will be crucial for enhancing AI system performance. Moreover, you will design and deploy scalable full-stack solutions supporting AI-driven applications, working with various data sources to enable contextual AI retrieval and responses. Utilising cloud platforms like AWS/Azure effectively for hosting, managing, and scaling AI-enabled services will also be part of your role. If you are passionate about combining full-stack development with AI and LLM technologies to create innovative text and voice applications, we look forward to hearing from you. Qualifications: - 3+ years of hands-on experience in full-stack application development with a strong understanding of frontend and backend technologies. - 12 years of proven experience in designing and implementing AI-driven conversational systems. - Deep knowledge of integrating Speech-to-Text (STT) and Natural Language Processing (NLP) components into production-ready systems. Nice-to-Have Skills: - Exposure to MLOps practices, including model deployment, monitoring, lifecycle management, and performance optimization in production environments. What You'll Get: - Opportunity to work on one of the most advanced AI systems. - A high-performing, fast-paced startup culture with a deep tech focus.,

As a Networking Managed Services Engineer (L1) at NTT DATA, you will be responsible for providing managed services to ensure the operational efficiency of our clients" IT infrastructure and systems. Your primary tasks will include proactively identifying, investigating, and resolving technical incidents and problems to support our clients effectively. Your role will involve monitoring client infrastructure and solutions to detect errors in a timely manner, investigating first-line incidents to determine their root causes, and following approved procedures for request fulfillment. Whether you are providing telephonic, ITSM ticket, or chat support, executing maintenance activities like patching and configuration changes, or ensuring smooth shift handovers for continuous service, your focus will be on maintaining high standards of service quality. In addition to your day-to-day responsibilities, you will also be expected to identify opportunities for optimization, such as reducing common incidents or finding automation possibilities for request fulfillment, incident resolution, and process improvements. Your role may extend to supporting project work and disaster recovery functions and tests, contributing to our broader goals and ensuring that we stay ahead of the curve. To excel in this role, you should have a basic understanding of technologies such as Pulse Secure SSL VPN, Virtual Juniper, Palo Alto, Fortinet Firewalls, Cisco Nexus switches, ASr and ISr routers, Cisco ACS, ISE, Meraki switches, and common routing protocols like BGP, OSPF, and EIGrP. You must also be highly disciplined in handling tickets, act promptly as per defined Standard Operating Procedures (SOPs), and strive to resolve as many tickets as possible using available knowledge articles or provided SOPs. Furthermore, you should possess good knowledge of ITSM tools and processes, strong planning skills, a strong work ethic, adaptability to changing environments, and a client-focused approach. Effective communication skills, active listening abilities, a positive outlook, and resilience under pressure are also essential qualities for success in this role. A bachelor's degree in information technology/computing or equivalent experience is required. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. Committed to helping clients innovate, optimize, and transform for long-term success, we invest significantly in research and development to support organizations in embracing the digital future. As an Equal Opportunity Employer, we value diversity and inclusion in our workplace, where experts from over 50 countries collaborate to deliver business and technology consulting, data and artificial intelligence solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. Join us at NTT DATA and be a part of our mission to drive innovation and transformation in the digital era.,

As a Senior AI Engineer specialized in Voice AI and Autonomous Agents at Spyne, you will be responsible for owning and building Spynes in-house voice bot stack. This pivotal role involves leveraging your expertise in LLMs, ASR/TTS, and voice UX to develop immersive, human-like conversations between auto dealerships and their customers. Located in Gurugram, you will work from the office five days a week to drive the development of cutting-edge AI solutions in the automotive retail sector. Your primary responsibilities will include: - Voice AI Stack Ownership: Developing and managing the complete voice bot pipeline encompassing ASR, NLU, dialog state management, tool calling, and TTS to deliver a seamless conversation experience. - LLM Orchestration & Tooling: Designing systems utilizing MCP to facilitate structured context exchange between real-time ASR, memory, APIs, and the LLM. - RAG Integration: Implementing retrieval-augmented generation to support responses based on dealership knowledge bases, inventory data, recall lookups, and FAQs. - Vector Store & Memory: Creating scalable vector-based search functionalities for dynamic FAQ handling, call recall, and user-specific memory embedding. - Latency Optimization: Engineering low-latency, streaming ASR + TTS pipelines and optimizing turn-taking models for natural conversations. - Model Tuning & Hallucination Control: Customizing tone, reducing hallucinations, and aligning responses with business objectives via fine-tuning, LoRA, or instruction tuning. - Instrumentation & QA Looping: Establishing robust observability, conducting real-time call QA processes, and analyzing interruptions, hallucinations, and fallbacks. - Cross-functional Collaboration: Collaborating closely with product, infra, and leadership teams to scale the voice bot solution to numerous US dealerships effectively. To excel in this role, you should possess: - Architectural Thinking: Ability to comprehend the integration of ASR, LLMs, memory, and tools and design modular, observable, and resilient systems. - LLM Tooling Mastery: Proficiency in implementing tool calling, retrieval pipelines, function calls, or prompt chaining across various workflows. - Fluency in Vector Search & RAG: Expertise in chunking, embedding, indexing, and retrieval processes while avoiding prompt bloat and token overflow. - Latency-First Mindset: Capability to identify and rectify token delays, optimize API round-trip time, and ensure human-like call interactions. - Grounding > Hallucination: Skill in tracing hallucinations to weak prompts, lack of guardrails, or tool access deficiencies and addressing them effectively. - Prototyping Skills: Comfort with building from scratch and rapid iteration using open-source or hosted tools as required. Requirements for this role include: - 5+ years of experience in AI/ML or voice/NLP systems with real-time exposure. - Profound knowledge of LLM orchestration, RAG, vector search, and prompt engineering. - Experience with MCP-style architectures and structured context pipelines between LLMs and APIs/tools. - Familiarity with integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models. - Strong understanding of latency optimization, streaming inference, and real-time audio pipelines. - Proficiency in Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infrastructures (AWS/GCP). - Solid debugging, logging, and QA capabilities for hallucination, grounding, and UX analysis. Join Spyne for a real-world AI impact, a superior team balancing speed with technical depth, high autonomy, and visibility from day one, accelerated career growth, MacBook along with essential tools, and a flat structure focused on meaningful work without unnecessary bureaucracy.,

You will be responsible for collaborating with engineering teams to validate network designs and support implementation from Day 0 through handover to operations. As the Principal Network Engineer WAN SME, you will act as a senior escalation point for WAN and multicast network issues, investigating and resolving critical incidents. Engaging with partners and vendors to drive fixes and support seamless migrations will also be a part of your role. Your responsibilities will include working closely with cybersecurity teams to assess and mitigate vulnerabilities and designing, building, and supporting scalable, low-latency WAN architectures with emphasis on MPLS, multicast, and segment routing. You will provide automation leadership by reviewing and improving Ansible and Python-based automation scripts and developing dashboards and monitoring tools for near real-time network visibility. Maintaining system performance, producing documentation, and coordinating with cross-functional teams during upgrades and changes will be crucial. You will also be expected to drive CI/CD pipelines for network-related automation and testing. To be successful in this role, you must have strong hands-on experience with WAN technologies, MPLS, multicast routing protocols, and VRF-based services. Proficiency in various routing protocols and troubleshooting using advanced packet capture and analysis tools is essential. Familiarity with SDN, Cisco ACI, and working in Agile environments with tools like JIRA is also required. Excellent communication skills in English, both written and verbal, are a must. Preferred qualifications include a Bachelor's degree in Computer Science, Networking, or a related technical field, CCIE certification (preferred or actively in progress), 5+ years of focused experience in WAN network engineering, and a background in financial services or experience working with telecom/network service providers.,

Amazon is looking for a passionate, talented, and inventive Applied Scientists with machine learning background to help build industry-leading Speech and Language technology. Our mission is to provide a delightful experience to Amazon s customers by pushing the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV). Amazon is looking for a passionate, talented, and inventive Applied Scientists with machine learning background to help build industry-leading Speech and Language technology. Our mission is to provide a delightful experience to Amazon s customers by pushing the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV). As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in spoken language understanding. We are hiring in all areas of human language technology: ASR, MT, NLU, text-to-speech (TTS), and Dialog Management, in addition to Computer Vision. We are also looking for talents with experiences/expertise in building large-scale, high-performing systems. Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals

About IDP IDP is the global leader in international education services, delivering global success to students, test takers and our partners, through trusted human relationships, digital technology and customer research. An Australian-listed company, we operate in more than 50 countries around the world. Our team is comprised of over 7,000 people of various nationalities, ages and cultural backgrounds. Proudly customer-first, our expert people are powered by global technology. Together, we offer unmatched services, helping local dreams become realities, all over the world. Learn more at www.careers.idp.com Role purpose The primary purpose of this role is to design, develop, and enhance customer engagement solutions using Genesys Cloud. The role requires hands-on expertise in building Architect flows, integrating CRMs, and leveraging serverless technologies and AI capabilities to deliver scalable, real-time communication experiences across voice and digital channels. The ideal candidate will bring deep technical knowledge combined with strong problem-solving and stakeholder management skills to support the transformation of customer interaction journeys. Additionally, the candidate will play a key role in building and supporting a globally shared contact center platform, ensuring standardized, efficient, and scalable solutions are implemented across all regions Key Responsibilities Collaborate cross-functionally with business analysts, solution architects, Scrum Masters, QA, and product owners to align technical solutions with business objectives. Design, develop, and maintain Genesys Cloud Architect flows for voice, IVR, chat, and digital channels. Build and deploy intelligent IVR and chatbot solutions. Analyze business requirements and implement Agentic and Generative AI solutions. Develop and manage CRM integrations, ensuring real-time, bidirectional data synchronization. Troubleshoot and resolve issues related to IVR and Dialler performance, call flows, and system integrations across platforms. Ensure compliance with organizational coding, deployment, and documentation standards. Stay up to date with the latest trends in contact center technologies, cloud infrastructure, and AI innovations. Participate in solution planning, effort estimation, and stakeholder presentations as required. Required experience 6+ years in IT with contact centre experience. 2+ years of practical Genesys Cloud development, including Architect flows and CRM integrations (not just support/configuration) Expert in Genesys Cloud Architect for flow design and building IVR/chatbots Proven CRM integrations (Salesforce, Dynamics, Oracle, etc.) with real-time data sync Strong coding skills in JavaScript/Node.js, REST APIs, JSON, serverless tools like AWS Lambda Experience with IVR technologies (DTMF, NLU, ASR, routing logic) Familiar with DevOps, Git-based CICD, and automated deployments Soft skills: problem-solving, communication, stakeholder engagement. Tech Skills: JS/Node.js, REST APIs, Lambdas, Data Actions, IVR/NLU Certifications: Genesys Cloud Certified Professional/Architect (preferred) Soft Skills: Communication, ownership, multi-team collaboration. Certifications: Genesys Cloud Certified Professional / Architect. Experience with Genesys WFM, QM, chat bots (e.g., Kore.ai, Cognigy) Familiarity with telephony protocols (SIP) and infrastructure (AWS/Azure). Exposure to AI technologies, including Agentic AI frameworks and Generative AI tools for enhancing IVR, chatbots, and digital engagement. Experience integrating AI-driven automation into customer interaction workflows.

As a Networking Managed Services Engineer (L1) at NTT DATA, you will play a crucial role in providing managed services to ensure the smooth functioning of our clients" IT infrastructure and systems. Your primary responsibilities will include proactively identifying, investigating, and resolving technical incidents and problems to support our clients effectively. Your day-to-day tasks will involve monitoring client infrastructure and solutions to catch errors promptly, investigating first-line incidents, understanding their root causes, and following approved procedures for request fulfillment. Whether you are providing telephonic, ITSM ticket, or chat support, executing maintenance activities like patching and configuration changes, or ensuring seamless shift handovers for continuous service, your efforts will be focused on maintaining high standards of service quality. In addition to your daily tasks, you will be expected to identify opportunities for optimization, such as reducing common incidents or finding automation possibilities for request fulfillment, incident resolution, and process improvements. Your role may also extend to supporting project work and disaster recovery functions and tests, contributing to our broader organizational goals and ensuring we stay ahead of the curve. To excel in this role, you should have a basic understanding of technologies such as Pulse Secure SSL VPN, Virtual Juniper, Palo Alto, Fortinet Firewalls, Cisco Nexus switches, ASr and ISr routers, Cisco ACS, ISE, Meraki switches, and common routing protocols like BGP, OSPF, and EIGRP. You should be highly disciplined in handling tickets on a day-to-day basis, act promptly as per defined Standard Operating Procedures (SOPs), and leverage available knowledge articles or provided SOPs to resolve tickets efficiently. Moreover, having a good grasp of using ITSM tools and processes, strong planning skills, a solid work ethic, adaptability to changing environments, a client-focused approach, effective communication skills across different cultures, excellent active listening skills, a positive outlook, and resilience under pressure are essential qualities for success in this role. A bachelor's degree in information technology/computing or equivalent experience is also required. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100 companies. Committed to helping clients innovate, optimize, and transform for long-term success, NTT DATA invests significantly in research and development to enable organizations and society to move confidently and sustainably into the digital future. As an Equal Opportunity Employer and a Global Top Employer, NTT DATA has a diverse workforce in more than 50 countries and a robust partner ecosystem. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity, making us one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of the NTT Group and headquartered in Tokyo.,

Redefine the future of customer experiences. One conversation at a time. We re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service , our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing Nextiva, a leader in business communications, is seeking a skilled AI Software Engineer to join our AI Agents team within our Data & Intelligence Platform group. In this role, you will develop intelligent, multimodal AI agents (voice and chatbots) as part of Nextiva s next-generation customer experience platform. You will apply expertise in machine learning and software engineering to build AI-driven features that transform how businesses engage with customers. This position offers the opportunity to work at the forefront of generative AI and multimodal interactions, creating scalable AI solutions that blend automation with the human touch to deliver exceptional customer experiences. Key Responsibilities Design & Develop AI Agents: Design, implement, and refine AI agents for Nextiva s products that understand and respond to customers in multiple formats (e.g., spoken voice, written text). Develop conversational logic and multimodal interaction flows leveraging state-of-the-art natural language processing (NLP) and speech recognition techniques. A I Model Integration: Integrate large language models and other AI/ML components into the Agentic AI Platform to enable capabilities such as question answering, task automation, sentiment analysis, and recommendations. Ensure that AI models and solutions perform effectively in real-world environments and at scale. Full Lifecycle Engineering: Own the end-to-end development lifecycle of AI features . Multimodal Interaction Systems: Build and integrate components for multimodal interactions, including speech-to-text, text-to-speech, and dialog management systems. Performance Optimization: Optimize AI algorithms and agent frameworks for performance, scalability, and reliability. Use data-driven methods to tune model accuracy and response times. Quality, Ethics & Compliance: Implement robust testing (unit, integration, end-to-end) for AI features to ensure reliability and correctness. Incorporate ethical AI practices, ensuring AI agent behavior is unbiased and compliant with privacy and security regulations. Documentation & Mentorship: Document AI agent designs, algorithms, and usage guidelines for future reference. Provide technical guidance and mentorship to junior engineers or new team members as needed. Success in this role will be measured by your ability to deliver AI features that measurably improve customer experiences (e.g., higher self-service resolution rates, faster response times, improved user satisfaction) while maintaining high software quality and ethical AI standards. You will help Nextiva achieve a balanced integration of AI and human interaction, directly contributing to our CX-first vision. Qualifications Education: Bachelor s degree in computer science, Software Engineering, or a related field (required). A Master s degree in AI, Machine Learning, or a related discipline is strongly preferred. Equivalent practical experience in AI/ML development will also be considered. Software Engineering Experience: 5+ years of professional software development experience, including at least 2+ years building AI or machine- learning powered applications. Proven experience developing production-grade software (e.g., backend services, APIs, data pipelines) in a collaborative team environment. AI/ML Expertise: Strong understanding of AI and machine learning fundamentals with hands-on experience in natural language processing (NLP) and/or deep learning. Familiarity with the latest AI advancements (e.g., transformer-based models, conversational AI frameworks) and a history of applying AI models to solve real-world problems. Technical Skills: Proficiency in programming languages commonly used for AI development, such as Python (with ML libraries like TensorFlow or PyTorch ) and/or a general-purpose language like Java or C# for scalable systems. Experience with machine learning frameworks and libraries for NLP, speech, or computer vision (e.g., Hugging Face Transformers, OpenAI APIs, spaCy , Kaldi, AWS/GCP/Azure AI services) is expected. Multimodal Interaction Knowledge: Experience with speech and language technologies - for example, integrating speech-to-text (ASR) and text-to-speech (TTS) engines, or building chatbots and voice bots for conversational interfaces. C loud & Scalability: Familiarity with cloud platforms and deploying AI/ML models at scale (AWS, Google Cloud, or Azure). Experience with microservices architecture and containerization (Docker, Kubernetes) for AI services. Collaboration & Communication: Excellent teamwork and communication skills. Nextiva DNA (Core Competencies) Nextiva s most successful team members share common traits and behaviors: Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success. Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking , and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies. Right Attitude : They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidates qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security - Provident Fund & Gratuity Wellness - Employee Assistance Program and comprehensive wellness initiatives Growth - Access to ongoing learning and development opportunities and career advancement At Nextiva, were committed to supporting our employees health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what s going on at Nextiva, check us out on Instagram , Instagram (MX) , YouTube , LinkedIn , and the Nextiva blog . #LI-PJ1 #LI-HYBRID

Hello, JD as discussed for Sr. Network Engineer profile opening- Mumbai. Job Description Job Responsibility: • Implementation, Configuration, Deployment, troubleshooting, management of Routing, switching and Enterprise Networks ( Cisco Routers, Cisco Switches, Cisco ACI, Nexus, Enterprise Networks, and Cisco Technologies). Desired Profile Skills Required • Hand on Exposure in deployment of Cisco routers, switches Devices. • Experience on handling end to end deployment of mid to large size projects. • Designing, implementation and troubleshooting of enterprise networks. • Hands on experience on designing networks with Cisco routers/ switches Other Skills Required • Good Team Player • Analytical thinking • Solution Provider • Possesses excellent communication and presentation skills

As a Senior AI Engineer - Voice AI / Autonomous Agents at Spyne, you will have the opportunity to own and build Spynes in-house voice bot stack. In this high-impact individual contributor role, you will be at the intersection of LLMs, ASR/TTS, and voice UX, focusing on creating deeply human, latency-optimized conversations between auto dealerships and their customers. Your main responsibilities will include: Voice AI Stack Ownership: Building and owning the end-to-end voice bot pipeline, including ASR, NLU, dialog state management, tool calling, and TTS to deliver a natural, human-like conversation experience. LLM Orchestration & Tooling: Architecting systems using MCP (Model Context Protocol) to mediate structured context between real-time ASR, memory, APIs, and the LLM. RAG Integration: Implementing retrieval-augmented generation to ground responses using dealership knowledge bases, inventory data, recall lookups, and FAQs. Vector Store & Memory: Designing scalable vector-based search for dynamic FAQ handling, call recall, and user-specific memory embedding. Latency Optimization: Engineering low-latency, streaming ASR + TTS pipelines and fine-tuning turn-taking models for natural conversation. Model Tuning & Hallucination Control: Using fine-tuning, LoRA, or instruction tuning to customize tone, reduce hallucinations, and align responses to business goals. Instrumentation & QA Looping: Building robust observability, running real-time call QA pipelines, and analyzing interruptions, hallucinations, and fallbacks. Cross-functional Collaboration: Working closely with product, infra, and leadership to scale this bot to thousands of US dealerships. To be successful in this role, you should possess: Architect-level thinking: Understanding how ASR, LLMs, memory, and tools fit together and having the ability to design modular, observable, and resilient systems. LLM Tooling Mastery: Implementing tool calling, retrieval pipelines, function calls, or prompt chaining across multiple workflows. Fluency in Vector Search & RAG: Knowing how to chunk, embed, index, and retrieve, while avoiding prompt bloat and token overflow. Latency-First Mindset: Debugging token delays, understanding the cost of each API hop, and optimizing round-trip time to maintain human-like interactions. Grounding > Hallucination: Tracing hallucinations back to weak prompts, missing guardrails, or lack of tool access and effectively addressing them. Prototyper at heart: Being unafraid of building from scratch and iterating quickly, utilizing open-source or hosted tools as necessary. The ideal candidate will have: 5+ years of experience in AI/ML or voice/NLP systems with real-time experience. Deep knowledge of LLM orchestration, RAG, vector search, and prompt engineering. Experience with MCP-style architectures or structured context pipelines between LLMs and APIs/tools. Experience integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models. Solid understanding of latency optimization, streaming inference, and real-time audio pipelines. Hands-on experience with Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infra (AWS/GCP). Strong debugging, logging, and QA instincts for hallucination, grounding, and UX behavior. Working at Spyne offers real-world AI impact at scale, a high-performing team that balances speed with technical depth, high autonomy and visibility from day one, rapid career acceleration, access to MacBook and all necessary tools and compute, a flat structure with real work focus, and no BS. Join us in redefining how cars are marketed and sold with cutting-edge Generative AI.,

Job Responsibilities We are seeking a highly strategic and execution-driven person to join the CEO's office as a (Program and Strategy Manager) and drive the adoption of Agentic AI (autonomous, goal-driven AI systems) across all functionsProduct, Tech, Marketing, Data, Sales, Customer Success, Delivery, Onboarding, HR, Finance, PR, Branding and more. You will act as a bridge across cross-functional teams to ensure alignment and drive the strategic direction of our AI-powered product portfolio. What will you do Cross-Functional Agentic AI Transformation Define and execute the company-wide high-impact agentic AI automation across functions.(e.g., AI-driven sales bots, automated customer onboarding, HR talent matching, finance forecasting). Develop metrics and KPIs to track AI-driven efficiency gains. Lead no-code AI tooling initiatives (e.g., GPT-based automation, AI agents, RPA, AutoML) to empower non-technical teams. Partner with Engineering & Data teams to integrate AI into existing workflows. Program Management and Strategy Develop, implement, and monitor key strategic initiatives that align with the company's overall business objectives. Define, track, and own key business KPIs, ensuring execution of high-impact priorities. Design and lead cross-functional projects to drive business outcomes, such as revenue growth, customer acquisition, and operational efficiency Prepare executive reports, investor decks, and MBR presentations. Provide strategic assistance and support to the senior leadership team Team & Stakeholder Management Act as the bridge between the CEO's Office and department heads to drive AI adoption. Conduct workshops to upskill teams on AI tools and best practices. Manage vendor partnerships (OpenAI, Microsoft, Google AI, etc.) for AI tooling. What you must have 3+ years of experience, preferably in Product, Program Management, or Strategy roles. Expertise in analytics, excel, SQL, and BI tools (Tableau, Looker, Power BI, etc.) Basic familiarity with LLM APIs (e.g., OpenAI, Anthropic, Hugging Face) Technical background with ability to collaborate effectively with ML/AI engineering teams. Exceptional communication skills to explain technical AI concepts to non-technical stakeholders. Excellence in strategic thinking, problem-solving, and decision-making. Analytical mindset with the ability to define and measure success metrics. Ability to thrive in a fast-paced, ambiguous environment.

Build and own the full voice bot pipeline including ASR, NLU, dialog management, tool calling, and TTS. Architect systems using MCP to connect ASR, memory, APIs, and LLMs in real-time. Implement RAG to ground responses using data from knowledge bases, inventory, and FAQs. Design scalable vector search systems for memory embedding and FAQ handling. Engineer low-latency ASR and TTS pipelines, optimizing for natural turn-taking. Apply fine-tuning, LoRA, and instruction tuning to reduce hallucinations and align model tone. Build observability systems and QA pipelines to monitor calls and analyze model behavior. Collaborate with cross-functional teams to scale the voice bot to thousands of users. Design modular, observable, and resilient AI systems. Implement retrieval pipelines, function calls, and prompt chaining across workflows. Expertly chunk, embed, and retrieve documents in RAG systems. Debug latency issues and optimize for low round-trip time. Trace hallucinations to root causes and fix via guardrails or tool access. Build prototypes using open-source or hosted tools with speed and flexibility. 5+ years in AI/ML or voice/NLP with real-time experience. Deep knowledge of LLM orchestration, vector search, and prompt engineering. Experience with ASR (Whisper, Deepgram), TTS (ElevenLabs, Coqui), and OpenAI models. Skilled in latency optimization and real-time audio pipelines. Hands-on with Python, FastAPI, vector DBs, and cloud platforms.

AI Engineer - Voice AI / Autonomous Agents Who are we? We are Spyne, redefining how cars are marketed and sold with cutting-edge Generative AI . What started as a bold idea using AI-powered visuals to help dealers sell online faster has evolved into a full-fledged AI-first automotive retail ecosystem . Backed by $16M in Series A funding from Vertex Ventures, Accel , and other top investors, we re scaling fast: Expanded across the US & EU markets Launched industry-first AI-powered Image & 360 solutions Achieved a 5X revenue surge in 15 months , aiming for 3-4X growth this year Now, we re rolling out an end-to-end GenAI Automotive Retail Suite and pushing into the US market to bring our AI-driven products to 3,000-4,000 dealers . Read more about us: Studio AI Product - t.ly/t0Ko5 Retail AI Product - t.ly/EyKC9 Series A Announcement - Spyne raises $16 Mil! Spyne raising another round!! Spyne secures funding for US Expansion! What are we looking for? We are looking for a Senior AI Engineer - Voice AI / Autonomous Agents to own and build Spyne s in-house voice bot stack. This is a high-impact individual contributor role at the intersection of LLMs, ASR/TTS, and voice UX , focused on creating deeply human, latency-optimized conversations between auto dealerships and their customers. Location: Gurugram (Work from Office, 5 days a week) What will you do? Voice AI Stack Ownership: Build and own the end-to-end voice bot pipeline ASR, NLU, dialog state management, tool calling, and TTS to create a natural, human-like conversation experience. LLM Orchestration & Tooling: Architect systems using MCP (Model Context Protocol) to mediate structured context between real-time ASR, memory, APIs, and the LLM. RAG Integration: Implement retrieval-augmented generation to ground responses using dealership knowledge bases, inventory data, recall lookups, and FAQs. Vector Store & Memory: Design scalable vector-based search for dynamic FAQ handling, call recall, and user-specific memory embedding. Latency Optimization: Engineer low-latency, streaming ASR + TTS pipelines and fine-tune turn-taking models for natural conversation. Model Tuning & Hallucination Control: Use fine-tuning, LoRA , or instruction tuning to customize tone, reduce hallucinations, and align responses to business goals. Instrumentation & QA Looping: Build robust observability, run real-time call QA pipelines, and analyze interruptions, hallucinations, and fallbacks. Cross-functional Collaboration: Work closely with product, infra, and leadership to scale this bot to thousands of US dealerships. What will make you successful in this role? Architect-level thinking: You understand how ASR, LLMs, memory, and tools fit together and can design modular, observable, and resilient systems. LLM Tooling Mastery: You ve implemented tool calling, retrieval pipelines, function calls , or prompt chaining across multiple workflows. Fluency in Vector Search & RAG: You know how to chunk, embed, index, and retrieve and how to avoid prompt bloat and token overflow. Latency-First Mindset: You debug token delays, know the cost of each API hop, and can optimize round-trip time to keep calls human-like. Grounding > Hallucination: You know how to trace hallucinations back to weak prompts, missing guardrails, or lack of tool access and fix them. Prototyper at heart: Youre not scared of building from scratch and iterating fast, using open-source or hosted tools as needed. What you must have 5+ years in AI/ML or voice/NLP systems with real-time experience Deep knowledge of LLM orchestration , RAG , vector search , and prompt engineering Experience with MCP-style architectures or structured context pipelines between LLMs and APIs/tools Experience integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models Solid understanding of latency optimization, streaming inference, and real-time audio pipelines Hands-on with Python , FastAPI , vector DBs (Pinecone, Weaviate, FAISS), and cloud infra (AWS/GCP) Strong debugging, logging, and QA instincts for hallucination, grounding, and UX behavior Why Spyne? Real-world AI impact at scale A-Grade team that balances speed with technical depth High autonomy and visibility from Day 1 Rapid growth = faster career acceleration MacBook + all the tools and compute you need Flat structure, no BS, just real work

About the Role We are seeking a strategic and technically strong Cloud Adoption Manager to join our Cloud Success Transformation team at Siemens Healthineers. This role will act as the regional transformation SPOC, driving Azure-based cloud adoption and infrastructure modernization initiatives across our IT landscape with specific focus on driving regional transformation initiatives across North America (NAM) and Latin America (LAM). The ideal candidate will have a strong technical foundation in Azure IaaS, experience with transformation planning, and proven expertise in navigating enterprise IT environments. You will work at the intersection of technical execution and strategic transformation, acting as a bridge between business stakeholders and internal technical teams to enable smooth migration journeys and long-term cloud success. The candidate should be comfortable operating across technical and strategic dimensions and must be willing and available to work in alignment with NAM & LAM business hours to support regional deliverables and stakeholder engagements. Key Responsibilities Act as the regional transformation lead (SPOC) for NAM & LAM, assessing current infrastructure and identifying opportunities for cloud migration, data center consolidation, and modernization. Apply principles of the Cloud Adoption Framework, including discovery, assessment, migration planning, execution coordination, and operational handover. Collaborate with Solution Architects and Cloud Migration Engineers to define and execute cloud migration plans, ensuring technical deliverables are met on time and within scope. Engage with internal business stakeholders across diverse regions and business lines to understand application landscapes, gather transformation requirements, and drive alignment. Develop and maintain transformation roadmaps in alignment with enterprise cloud strategy. Lead and coordinate hyper-care phases, ensure successful post-migration support, and facilitate smooth transitions to operational support teams. Track transformation activities using Agile methodologies, contributing to backlog grooming, sprint planning, and iterative delivery. Ensure the usage of Azure-native tools and services for discovery, assessment, migration, and monitoring activities. Act as a program-level coordinator who ensures that transformation initiatives are proactively planned, resourced, and tracked for delivery. Required Qualifications 7+ years of experience in IT infrastructure with the recent 3-4+ years in cloud transformation roles. Strong technical background in Azure IaaS, cloud-native tooling, and infrastructure discovery/migration methodologies. Experience in delivering enterprise-scale cloud migrations and hybrid cloud solutions. Proven track record in program or project management, ideally with exposure to Agile practices. Excellent stakeholder engagement, communication, and coordination skills across global and cross-functional teams. Flexibility to work within NAM & LAM time zones to support stakeholders and project timelines. Ability to manage multiple regional transformation tracks simultaneously. Experience with cloud governance, operational handover, and post-migration support planning. Preferred Qualifications Microsoft Azure certifications (e.g., AZ-104, AZ-305, or AZ-700). Familiarity with tools such as Azure Migrate, ASR, Azure ARC, Azure Pricing Calculator and others. Experience working in a regulated or enterprise IT environment. Understanding financial planning and cost optimization in cloud migration scenarios. Excellent fluency in English Soft Skills & Attributes Excellent communication and interpersonal skills, with the ability to influence Transformation initiatives and collaborate with global teams and senior stakeholders. Strong problem-solving skills with a proactive and analytical mindset. Demonstrated ownership and accountability in driving deliverables from start to finish. Comfortable managing multiple priorities across diverse teams and time zones. Ability to work independently while fostering team collaboration and knowledge sharing. High adaptability and resilience in fast-paced, transformation-driven environments. Why Join Us Join a globally distributed, high-impact team at the forefront of Hybrid Cloud transformation. You’ll be empowered to lead strategic initiatives that shape the future of infrastructure modernization and cloud adoption across Siemens Healthineers.

You are invited to join Miratech as a Solution Architect, where you will play a key role in designing and implementing voice solutions on the Google Platform. Your responsibilities will involve collaborating with various teams to ensure the successful delivery of projects while adhering to best practices, scalability, and business requirements. As a Solution Architect at Miratech, you will be expected to: - Design comprehensive solutions tailored to enterprise environments and business objectives. - Advocate for and establish best practices, reusable design patterns, and architectural standards. - Develop detailed documentation encompassing integration specifications, business logic implementation, and architecture designs. - Identify necessary APIs, design middleware structures, and facilitate smooth communication between business stakeholders and development teams. - Collaborate closely with engineers to support the implementation of solutions and engage with external teams for project alignment and successful execution. - Fine-tune voice solutions for optimal performance using configuration and AI/ML-powered speech recognition systems. To qualify for this role, you should possess: - Over 5 years of experience as a Solution Architect, with a focus on voice-based solutions and cloud platforms. - Proficiency in Google Dialogflow CX and large language models, along with experience in secure backend integrations. - Deep understanding of IVR/bot systems, voice solution architecture, API development, authentication mechanisms, and data mapping. - Hands-on experience in call flow design and documentation using tools like Visio or Idraw.io. - Strong communication skills and the ability to collaborate effectively with stakeholders to translate requirements into technical solutions. Additionally, it would be advantageous if you have experience in Google CCAI, AI-driven speech processing, and conversational AI solutions, as well as a background in Agile development practices. Join Miratech and benefit from a culture of Relentless Performance, remote work flexibility, professional development opportunities, impactful global projects, a multicultural work environment, and a commitment to social sustainability values.,

We're hiring a Remote AI Engineer (2+ yrs exp)! Work on GPT, LangChain, Whisper, Flask/FastAPI, and ASR. Strong Python skills required. Exciting AI projects & full remote flexibility. Apply now!

About the Role We are seeking a strategic and technically strong Cloud Adoption Manager to join our Cloud Success Transformation team at Siemens Healthineers. This role will act as the regional transformation SPOC, driving Azure-based cloud adoption and infrastructure modernization initiatives across our IT landscape with specific focus on driving regional transformation initiatives across North America (NAM) and Latin America (LAM). The ideal candidate will have a strong technical foundation in Azure IaaS, experience with transformation planning, and proven expertise in navigating enterprise IT environments. You will work at the intersection of technical execution and strategic transformation, acting as a bridge between business stakeholders and internal technical teams to enable smooth migration journeys and long-term cloud success. The candidate should be comfortable operating across technical and strategic dimensions and must be willing and available to work in alignment with NAM & LAM business hours to support regional deliverables and stakeholder engagements. Key Responsibilities Act as the regional transformation lead (SPOC) for NAM & LAM, assessing current infrastructure and identifying opportunities for cloud migration, data center consolidation, and modernization. Apply principles of the Cloud Adoption Framework, including discovery, assessment, migration planning, execution coordination, and operational handover. Collaborate with Solution Architects and Cloud Migration Engineers to define and execute cloud migration plans, ensuring technical deliverables are met on time and within scope. Engage with internal business stakeholders across diverse regions and business lines to understand application landscapes, gather transformation requirements, and drive alignment. Develop and maintain transformation roadmaps in alignment with enterprise cloud strategy. Lead and coordinate hyper-care phases, ensure successful post-migration support, and facilitate smooth transitions to operational support teams. Track transformation activities using Agile methodologies, contributing to backlog grooming, sprint planning, and iterative delivery. Ensure the usage of Azure-native tools and services for discovery, assessment, migration, and monitoring activities. Act as a program-level coordinator who ensures that transformation initiatives are proactively planned, resourced, and tracked for delivery. Required Qualifications 7+ years of experience in IT infrastructure with the recent 3-4+ years in cloud transformation roles. Strong technical background in Azure IaaS, cloud-native tooling, and infrastructure discovery/migration methodologies. Experience in delivering enterprise-scale cloud migrations and hybrid cloud solutions. Proven track record in program or project management, ideally with exposure to Agile practices. Excellent stakeholder engagement, communication, and coordination skills across global and cross-functional teams. Flexibility to work within NAM & LAM time zones to support stakeholders and project timelines. Ability to manage multiple regional transformation tracks simultaneously. Experience with cloud governance, operational handover, and post-migration support planning. Preferred Qualifications Microsoft Azure certifications (e.g., AZ-104, AZ-305, or AZ-700). Familiarity with tools such as Azure Migrate, ASR, Azure ARC, Azure Pricing Calculator and others. Experience working in a regulated or enterprise IT environment. Understanding financial planning and cost optimization in cloud migration scenarios. Excellent fluency in English Soft Skills & Attributes Excellent communication and interpersonal skills, with the ability to influence Transformation initiatives and collaborate with global teams and senior stakeholders. Strong problem-solving skills with a proactive and analytical mindset. Demonstrated ownership and accountability in driving deliverables from start to finish. Comfortable managing multiple priorities across diverse teams and time zones. Ability to work independently while fostering team collaboration and knowledge sharing. High adaptability and resilience in fast-paced, transformation-driven environments. Why Join Us Join a globally distributed, high-impact team at the forefront of Hybrid Cloud transformation. You ll be empowered to lead strategic initiatives that shape the future of infrastructure modernization and cloud adoption across Siemens Healthineers.

Overall 4-8 years of experienceMinimum 3+ years of hands-on experience on AI technologies (NLP/ASR/Computer vision/)Minimum 2 years of hands-on coding experience in AI Use case developmentProficiency in Python on AI related work is mustExperience on NLP is must need to have good knowledge of RAG, LLMs, transformers, vector database, embeddings etc.Overall knowledge of AI Ecosystem needed to develop AI project IDEs (Jupyter, Anaconda, VSC), Hardware requirements, AI models, Huggingface, Kaagle, Google collabGood understanding of AI/ML concepts is must NLP, Deep learning with Neural networks, Reinforcement learning.Understanding of SDLC processes, configuration management (github), documentationGood communication and interpersonal skills

Job Summary Shaip.ai is seeking experienced linguistics professionals who bring a blend of deep linguistic expertise and team management capabilities. As a Manager, you will play a pivotal role in supporting our LLM, ASR, and TTS models, and managing linguistic teams working across multilingual AI data projects. You will work closely with machine learning engineers, data sourcing teams, and project stakeholders to ensure linguistic quality and on-time delivery of high-quality annotated language datasets. Key Responsibilities Linguistic Expertise & Support • Collaborate with ML engineers to understand project goals, data specifications, and linguistic requirements. • Embed linguistic rules into model architecture and data processing workflows. • Design, document, and review annotation guidelines for linguistic, speech, and conversational AI projects. • Conduct linguistic evaluations and provide detailed feedback to improve model performance and output quality. Team & Project Management • Partner with the data sourcing and project teams to define and align on delivery timelines and milestones. • Set up efficient data workflowsfrom raw data intake to final annotation delivery. • Source, on board, and manage team of linguists across multiple languages and regions. • Allocate tasks, track productivity, maintain annotation quality, and ensure delivery SLAs are met. Required Qualifications • Masters or PhD in Linguistics, Computational Linguistics, or a closely related field. • Minimum 2 years of hands-on experience working in NLP, GenAI, or speech data projects. • Proven experience in designing annotation workflows and linguistic guideline creation. • At least 2 years of experience managing teams or coordinating projects. • Experience with low-resource or regional languages is highly desirable. Technical & Core Competencies • Linguistic Analysis: Strong foundation in syntax, morphology, semantics, and phonetics. • Language Proficiency: Fluency in two or more Indian languages (spoken, written, and grammar). • Project Setup: Familiarity with NLP data workflows, annotation tools, and delivery pipelines. • People Management: Experience managing freelancers, task assignments, and quality assurance. • Collaboration: Ability to act as a bridge between linguistic and technical teams. • Problem Solving : Analytical mindset for handling language model and annotation challenges

About Us Observe.AI is transforming customer service with AI agents that speak, think, and act like your best human agents helping enterprises automate routine customer calls and workflows, support agents in real time, and uncover powerful insights from every interaction. With Observe.AI , businesses boost automation, deliver faster, more consistent 24/7 service and build stronger customer loyalty. Trusted by brands like Accolade, Prudential, Concentrix, Cox Automotive, and Included Health, Observe.AI is redefining how businesses connect with customers driving better experiences and lasting relationships at every touchpoint. The Opportunity As a Machine Learning Scientist - Speech, you will play a crucial role in advancing our voice technology solutions. You will work on enhancing voice features, optimizing user experiences in noisy environments, and improving streaming encoding/decoding to give our voice interfaces a competitive edge. This role involves hands-on experimentation, applied research, and close collaboration with engineering and product teams to push the boundaries of what s possible in voice technology. What you will get to do: Improve and enhance core voice features to elevate the overall user experience. Develop and implement techniques for noise reduction and speech enhancement to improve performance in challenging environments. Optimize streaming encoding/decoding to maintain the highest quality in real-time voice interactions. What we are looking for: You are passionate about generative AI technology and eager to explore its applications in voice processing. You are excited by the prospect of applied research and continuously benchmarking the latest speech technologies. You thrive in a collaborative environment, working closely with cross-functional teams to bring innovative solutions to life. You are proactive, curious, and always looking to learn and implement the latest trends and technologies in speech and AI. What You Are Not: You are not just looking for a traditional development role; this position is highly research-focused and requires an experimental mindset. You are not afraid of working with ambiguity and are comfortable navigating the complexities of rapidly evolving AI technologies. You are not interested in working in silos; this role requires continuous communication and teamwork with other researchers, engineers, and product managers. Qualifications: 3+ years of experience in speech processing and related fields. Expertise in Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) technologies. Strong foundation in signal processing, noise reduction, and other key aspects of voice technology. About the ML Team We are a strong 30+ member Machine Learning team with a focus on Speech and NLP. Our mission is to deliver the best of AI capabilities to revolutionize the world of Contact Centers through Observe.AI s product offerings. We push the boundaries of Spoken Language Understanding to develop ML capabilities that power innovative product features for our customers, and our ML platform processes millions of contact center interactions per day. That said, we are a bunch of super fun folks to hang out with beyond work as well :-) Compensation, Benefits and Perks Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and youre ready to shape the future of Observe.AI , we encourage you to apply. For more information, visit www.observe.ai .

Role & responsibilities JD for SP IP Degree: Bachelor's or master's degree in a technical field such as Computer Science, Computer Networking, Information Technology, Electrical Computer Engineering, or a similar field. Certifications: CCNA, CCNP, CCIE desired (Routing, Switching, Service Provider). REQUIRED SKILLS: - Must have and should meet all the below standards for qualifying for this role: - Products: Asr9K , NCS - Tech: OSPF, ISIS, BGP, MPLS, L2VPN, L3VPN, Segment Routing, IP RAN front/back haul, Core IP transport Architecture, IOSXR, IOSXE - Consulting SP experience with creating design documents and implementation in SP Core DESIRED SKILLS: - Good to have or value add to this role: - Migration expertise in SP core - Automation: Python, Ansible - Knowledge on Datacenter and Mobility - Optical knowledge and hands-on skills Mandatory Skills: - Cisco-sdn-network-administration - Scripting: Shell/PowerShell/Python Good to Have Skills: - AWS Infra Services - Cisco DC/Branches Routers & Switches - Cisco Meraki / Velocloud, SDWAN Meraki, SDWAN Viptela

Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences. Responsibilities Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) and understanding of LLMs, LLMOps and Generative AI - to be able to deliver per specifications; complete assignments without assitance by exercising judgment & appropriate actions Knowledge of Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP. Hands-on develop ML models using the above techniques Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up; Able to prepare data pipelines and feature engineering pipelines to build robust models Combine ML Sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across Healthcare domain Drives selction of methods and techniques to drive solutions Demonstrate strong program management to be able to multi-task effectively Be able to mentor & lead junior data scientists effectively Contribute to peer reviews, team learning, meeting product objectives and develop best practices for the organization Strong experience in LLM Systems and LLMOps. Prior experience with Prompt Engineering and RAG systems

Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Voice AI, Voice AI products, AI models, Large Language Models (LLMs), Python, Model deployment, Building AI Models, ASR models, Text-to-Speech (TTS) I-Stem is Looking for: You will: Develop, test, and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS) Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding) Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products Monitor agent performance in production, analyze failure cases, and drive continuous improvement You are: An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS) Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error A clear thinker who deconstructs complex voice interactions from first principles Passionate about making voice technology inclusive and accessible for diverse users Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility

Job Summary As a leader in the EDO, Collection Platforms & AI Cognitive Engineering team, you will own the vision and delivery of enterprise-scale Data Science and GenAI solutions. You will define the data science strategy , champion best practices , mentor a world-class team of data scientists and ML engineers , and drive production-ready AI/ML products from ideation through deployment. This role involves working in a global team that values thoughtful risk-taking and self-initiative. Key Responsibilities Shape and execute the Data Science roadmap for ML, GenAI, and ASR, including tooling, methodologies, and best practices. Architect, develop, and deploy large-scale ML and GenAI pipelines, including Voice Activity Detection (VAD), Speaker Diarization, and ASR models. Own the full data science lifecycle, from opportunity identification and requirement gathering to modeling, deployment, monitoring, and optimization. Drive MLOps practices, including CI/CD for models, feature stores, monitoring, and automated rollback strategies. Mentor and develop junior and mid-level data scientists, fostering a culture of continuous learning and collaboration. Partner with cross-functional stakeholders to align on project goals, timelines, and SLAs. Core Requirements 8+ years of hands-on experience in Data Science/AI, with at least 3 years in a senior or leadership role. Proven expertise in developing and deploying ASR systems, including training models (e.g., Whisper), designing VAD pipelines, and implementing Speaker Diarization (e.g., Pyannote). Deep knowledge of large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning, and embedding-based retrieval. Expert proficiency in Python and its core libraries, including NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, and Hugging Face Transformers. Strong understanding of ML & deep learning architectures like NLP transformers and GNNs. Experience with orchestration and deployment tools such as Docker, Kubernetes, Airflow, and cloud services (AWS/GCP/Azure). Good to Have A Master's or Ph.D. in a related technical field (Computer Science, Statistics, etc.). Prior experience in the Economics/Financial industry. Public contributions on platforms like GitHub, Kaggle, or technical blog