100 Asr Jobs - Page 3

About the Role: Grade Level (for internal use): 12 The Team 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 that power natural language understanding, data extraction, information retrieval, data sourcing, and speech-to-text services for S&P Global. You will define the data science strategy, champion best practices, mentor across functions, and drive production-ready AI/ML products from ideation through deployment. Youll work in a (truly) global team that values thoughtful risk-taking and self-initiative. Whats in it for you: Lead data science strategy and build solutions at enterprise scale Grow and mentor a world-class team of data scientists and ML engineers Solve high-complexity, high-impact problems end-to-end Define roadmaps for emerging AI capabilities (GenAI, ASR, speaker analytics) Responsibilities: Shape and execute the Data Science roadmaptooling, methodologies, and best practices for ML, GenAI, and ASR Architect, develop, and deploy large-scale ML and GenAI pipelines-including Voice Activity Detection (VAD), Speaker Diarization, and ASR models-for automated transcription services Own the full data science lifecycleopportunity identification, requirement gathering, modeling, evaluation, validation, deployment, monitoring, and optimization Lead exploratory data analysis, proof-of-concepts, benchmarking, and production model validation for both text- and speech-based AI solutions Establish and enforce coding standards, perform technical reviews, and optimize workflows for reproducibility and scalability Drive MLOps practicesCI/CD for models, feature stores, monitoring, alerting, and automated rollback strategies Mentor and develop junior and mid-level data scientists; foster a culture of continuous learning, innovation, and collaboration Partner with cross-functional stakeholders (Engineering, Product, IT, Compliance) to align on project goals, timelines, and SLAs Technical : 8+ years of hands-on experience in Data Science/AI, with at least 3 years in a senior or leadership role with strong hands on skills. Proven expertise in developing and deploying ASR systems: Training or fine-tuning end-to-end ASR models (e.g., Whisper, QuartzNet) Designing VAD pipelines for robust speech segmentation Implementing Speaker Diarization (e.g., Pyannote, UISR) and handling multi-speaker audio Optimizing transcription accuracy across accents, languages, and noisy environments Deep knowledge of large language models (OpenAI, Anthropic, Llama), prompt engineering, fine-tuning, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Strong understanding of ML & deep learning architecturesNLP transformers, GNNs, multimodal systems Solid grasp of statistics, probability, and the mathematics underpinning modern AI Track record of synthesizing cutting-edge research into production solutions Experience with orchestration and deployment toolsDocker, Kubernetes, Airflow, Redis, Flask/Django/FastAPI, PySpark, SQL, and cloud services (AWS/GCP/Azure) Openness to evaluate and adopt emerging technologies and languages as needed Good to have: Master's or Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or related field Prior experience in the Economics/Financial industry, especially market-intelligence or risk analytics Public contributions on GitHub, Kaggle, StackOverflow, technical blogs, or publications Familiarity with speaker embedding techniques, speech enhancement, and noise-robust modeling Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH103.2 - Middle Management Tier II (EEO Job Group)

Role & responsibilities Architect, implement, and manage end-to-end Azure infrastructure solutions , including compute, storage, networking, identity, and security. Lead on-prem to Azure migrations using tools like Azure Migrate and ASR. Design and enforce Azure governance using Blueprints, Policies, RBAC, and naming/tagging strategies. Optimize cloud cost and performance through pricing models, reservations, tagging, and budget alerts . Implement and maintain monitoring and alerting solutions using Azure Monitor, Log Analytics, Application Insights, and Azure Sentinel. Integrate Azure with on-premises environments including AD, DNS, File Shares, and VPN/ExpressRoute. Automate infrastructure provisioning and management using Azure DevOps, ARM/Bicep, Terraform , and scripting (PowerShell, Bash). Develop and maintain CI/CD pipelines in Azure DevOps for both infrastructure and application deployments. Manage source control, work items, and artifact repositories using Azure Repos, Boards, and Artifacts . Ensure high availability, disaster recovery, backup, and business continuity across Azure workloads. Collaborate with developers, security teams, and IT operations to ensure end-to-end solution alignment. Provide L3 support and perform root cause analysis for escalated infrastructure or deployment issues. Preferred candidate profile 10+ years of experience in IT infrastructure, with at least 5+ years of hands-on Azure experience . Strong expertise in on-prem infrastructure (Windows/Linux servers, AD, GPO, VMware/Hyper-V). Expert knowledge of Azure IaaS, PaaS, networking, security, identity, and automation . Deep hands-on experience with Azure DevOps (Pipelines, Repos, Boards, Artifacts). Strong background in Infrastructure as Code (IaC) with ARM, Bicep, Terraform, or similar. Proficiency in scripting languages (e.g., PowerShell , Bash ). Strong command of Azure pricing , cost optimization strategies, and FinOps principles. Skilled in setting up hybrid cloud architecture with seamless connectivity and identity federation. Familiar with security and compliance frameworks (e.g., NIST, HIPAA, FedRAMP). Experience with monitoring tools and SIEM (e.g., Azure Monitor , Azure Sentinel ). Excellent documentation and troubleshooting skills. Relevant certifications such as: Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: DevOps Engineer Expert Microsoft Certified: Azure Administrator Associate

We are looking for a highly skilled Conversation Designer to craft engaging and effective conversational experiences for voice assistants. The ideal candidate has a deep understanding of Natural Language Understanding (NLU) concepts, experience of working with Google Platform, strong designer skills. You will work closely with Solution Architects, business stakeholders, and developers to ensure seamless conversational interactions that align with business goals. Key Responsibilities: Design conversational flows for IVR systems using Dialogflow CX, incorporating best practices in UX writing, voice interaction, and call center operations. Create and optimize user journeys, intents, training phrases, entity definitions, and dialog states to support a wide range of user inputs and outcomes. Write natural-sounding, on-brand prompts and responses tailored to voice interactions, ensuring clarity, tone consistency, and accessibility. Collaborate with cross-functional teams (developers, QA, stakeholders) to prototype, test, and iterate on conversation flows. Analyze user behavior and bot performance using analytics tools to identify areas for improvement and suggest enhancements. Develop and maintain conversation design documentation, style guides, and bot persona guidelines. Conduct usability testing and call flow simulations, incorporating user feedback and tuning NLP models to optimize performance.

We are looking for a highly skilled Conversation Designer to craft engaging and effective conversational experiences for voice assistants. The ideal candidate has a deep understanding of Natural Language Understanding (NLU) concepts, experience of working with Google Platform, strong designer skills. You will work closely with Solution Architects, business stakeholders, and developers to ensure seamless conversational interactions that align with business goals. Key Responsibilities: Design conversational flows for IVR systems using Dialogflow CX, incorporating best practices in UX writing, voice interaction, and call center operations. Create and optimize user journeys, intents, training phrases, entity definitions, and dialog states to support a wide range of user inputs and outcomes. Write natural-sounding, on-brand prompts and responses tailored to voice interactions, ensuring clarity, tone consistency, and accessibility. Collaborate with cross-functional teams (developers, QA, stakeholders) to prototype, test, and iterate on conversation flows. Analyze user behavior and bot performance using analytics tools to identify areas for improvement and suggest enhancements. Develop and maintain conversation design documentation, style guides, and bot persona guidelines. Conduct usability testing and call flow simulations, incorporating user feedback and tuning NLP models to optimize performance.

We are looking for a highly skilled Conversation Designer to craft engaging and effective conversational experiences for voice assistants. The ideal candidate has a deep understanding of Natural Language Understanding (NLU) concepts, experience of working with Google Platform, strong designer skills. You will work closely with Solution Architects, business stakeholders, and developers to ensure seamless conversational interactions that align with business goals. Key Responsibilities: Design conversational flows for IVR systems using Dialogflow CX, incorporating best practices in UX writing, voice interaction, and call center operations. Create and optimize user journeys, intents, training phrases, entity definitions, and dialog states to support a wide range of user inputs and outcomes. Write natural-sounding, on-brand prompts and responses tailored to voice interactions, ensuring clarity, tone consistency, and accessibility. Collaborate with cross-functional teams (developers, QA, stakeholders) to prototype, test, and iterate on conversation flows. Analyze user behavior and bot performance using analytics tools to identify areas for improvement and suggest enhancements. Develop and maintain conversation design documentation, style guides, and bot persona guidelines. Conduct usability testing and call flow simulations, incorporating user feedback and tuning NLP models to optimize performance.

We are looking for a highly skilled Conversation Designer to craft engaging and effective conversational experiences for voice assistants. The ideal candidate has a deep understanding of Natural Language Understanding (NLU) concepts, experience of working with Google Platform, strong designer skills. You will work closely with Solution Architects, business stakeholders, and developers to ensure seamless conversational interactions that align with business goals. Key Responsibilities: Design conversational flows for IVR systems using Dialogflow CX, incorporating best practices in UX writing, voice interaction, and call center operations. Create and optimize user journeys, intents, training phrases, entity definitions, and dialog states to support a wide range of user inputs and outcomes. Write natural-sounding, on-brand prompts and responses tailored to voice interactions, ensuring clarity, tone consistency, and accessibility. Collaborate with cross-functional teams (developers, QA, stakeholders) to prototype, test, and iterate on conversation flows. Analyze user behavior and bot performance using analytics tools to identify areas for improvement and suggest enhancements. Develop and maintain conversation design documentation, style guides, and bot persona guidelines. Conduct usability testing and call flow simulations, incorporating user feedback and tuning NLP models to optimize performance.

We are looking for a highly skilled Conversation Designer to craft engaging and effective conversational experiences for voice assistants. The ideal candidate has a deep understanding of Natural Language Understanding (NLU) concepts, experience of working with Google Platform, strong designer skills. You will work closely with Solution Architects, business stakeholders, and developers to ensure seamless conversational interactions that align with business goals. Key Responsibilities: Design conversational flows for IVR systems using Dialogflow CX, incorporating best practices in UX writing, voice interaction, and call center operations. Create and optimize user journeys, intents, training phrases, entity definitions, and dialog states to support a wide range of user inputs and outcomes. Write natural-sounding, on-brand prompts and responses tailored to voice interactions, ensuring clarity, tone consistency, and accessibility. Collaborate with cross-functional teams (developers, QA, stakeholders) to prototype, test, and iterate on conversation flows. Analyze user behavior and bot performance using analytics tools to identify areas for improvement and suggest enhancements. Develop and maintain conversation design documentation, style guides, and bot persona guidelines. Conduct usability testing and call flow simulations, incorporating user feedback and tuning NLP models to optimize performance.

We are looking for a highly skilled Conversation Designer to craft engaging and effective conversational experiences for voice assistants. The ideal candidate has a deep understanding of Natural Language Understanding (NLU) concepts, experience of working with Google Platform, strong designer skills. You will work closely with Solution Architects, business stakeholders, and developers to ensure seamless conversational interactions that align with business goals. Key Responsibilities: Design conversational flows for IVR systems using Dialogflow CX, incorporating best practices in UX writing, voice interaction, and call center operations. Create and optimize user journeys, intents, training phrases, entity definitions, and dialog states to support a wide range of user inputs and outcomes. Write natural-sounding, on-brand prompts and responses tailored to voice interactions, ensuring clarity, tone consistency, and accessibility. Collaborate with cross-functional teams (developers, QA, stakeholders) to prototype, test, and iterate on conversation flows. Analyze user behavior and bot performance using analytics tools to identify areas for improvement and suggest enhancements. Develop and maintain conversation design documentation, style guides, and bot persona guidelines. Conduct usability testing and call flow simulations, incorporating user feedback and tuning NLP models to optimize performance.

We are looking for a highly skilled Conversation Designer to craft engaging and effective conversational experiences for voice assistants. The ideal candidate has a deep understanding of Natural Language Understanding (NLU) concepts, experience of working with Google Platform, strong designer skills. You will work closely with Solution Architects, business stakeholders, and developers to ensure seamless conversational interactions that align with business goals. Key Responsibilities: Design conversational flows for IVR systems using Dialogflow CX, incorporating best practices in UX writing, voice interaction, and call center operations. Create and optimize user journeys, intents, training phrases, entity definitions, and dialog states to support a wide range of user inputs and outcomes. Write natural-sounding, on-brand prompts and responses tailored to voice interactions, ensuring clarity, tone consistency, and accessibility. Collaborate with cross-functional teams (developers, QA, stakeholders) to prototype, test, and iterate on conversation flows. Analyze user behavior and bot performance using analytics tools to identify areas for improvement and suggest enhancements. Develop and maintain conversation design documentation, style guides, and bot persona guidelines. Conduct usability testing and call flow simulations, incorporating user feedback and tuning NLP models to optimize performance.

We are looking for a highly skilled Conversation Designer to craft engaging and effective conversational experiences for voice assistants. The ideal candidate has a deep understanding of Natural Language Understanding (NLU) concepts, experience of working with Google Platform, strong designer skills. You will work closely with Solution Architects, business stakeholders, and developers to ensure seamless conversational interactions that align with business goals. Key Responsibilities: Design conversational flows for IVR systems using Dialogflow CX, incorporating best practices in UX writing, voice interaction, and call center operations. Create and optimize user journeys, intents, training phrases, entity definitions, and dialog states to support a wide range of user inputs and outcomes. Write natural-sounding, on-brand prompts and responses tailored to voice interactions, ensuring clarity, tone consistency, and accessibility. Collaborate with cross-functional teams (developers, QA, stakeholders) to prototype, test, and iterate on conversation flows. Analyze user behavior and bot performance using analytics tools to identify areas for improvement and suggest enhancements. Develop and maintain conversation design documentation, style guides, and bot persona guidelines. Conduct usability testing and call flow simulations, incorporating user feedback and tuning NLP models to optimize performance.

Being part of and contributing to a large, vibrant community Understanding problems and designing solutions for the P&C Insurance industry. Applying a variety of analytic methodologies including Predictive Modeling, Machine Learning, Forecasting, Network Analytics, Natural Language Processing, Computer Vision, Voice and Speech Analytics, and Generative AI to develop solutions to those business problems Working with a diverse set of extremely rich datasets such as 19 billion detailed records of insurance premiums collected and losses paid, or 90%+ of Insurance Claims in the US Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis Working with cutting-edge technology, and continuously developing new skills and capabilities. A degree in a quantitative field with relevant experience: Bachelors (3-5 years) or Masters (1-2 years), or PhD (0-2 years). Strong programming skills, particularly in R and Python. Extensive experience in one or more of the following skills is essential: Predictive Modeling, Entity Resolution, NLP, and Generative AI. Experience in any of the following skills is a plus: Big Data Platforms, Time-Series Forecasting, Graph Databases, Network Analytics, Neural Networks, Computer Vision, and ASR (Automated Speech Recognition). Familiarity with SQL or NoSQL (eg, Hadoop, HBase, MongoDB and/or Neo4j) databases. Domain knowledge in the insurance industry is an added advantage. Ability to solve problems analytically and creatively. Strong communication (written and oral) skills. The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability. Develop analytic solutions using machine learning techniques including Predictive Modeling, Text Mining, Entity Resolution, Time-series Forecasting, Network Analytics, Computer Vision, Automated Speech Recognition, and Generative AI. Ensure that solutions meet business requirements around accuracy, sophistication, and interpretability. Ensure that solution is delivered in a timely manner. The incorporation of technical innovations and new developments in relevant analytic fields Keep abreast of technical innovations and new developments in relevant analytic fields The development of analytic interns that you are responsible for Identify training opportunities and project opportunities that can help develop the analytic interns you are responsible for The sharing of important methodologies, advances, and best practices from your work among the whole analytic community Help organize these forums for developing Verisk s analytic community Share important methodologies, advances, and best practices from your work among the whole analytic community via these forums. Success Criteria: Measurable contribution to products and processes in terms of new products developed, enhanced products, direct revenue supported, cost savings etc Positive feedback on the support received from business partners Advancement of analytic interns that you are responsible for Positive feedback from analytic interns that you are responsible for Positive feedback from team members and leaders of the Verisk analytic community

Eviden is looking for L3 SDA SME Role to join our dynamic team and embark on a rewarding career journey Provide Level support for Service Desk Automation (SDA) Investigate escalations and troubleshoot issues Ensure SLA adherence and maintain technical documentation Coordinate upgrades and configuration changes

Immediate Job Openings on #Cisco Aci_ Pan India_Contract Experience: 5+ Years Skill:Cisco Aci Location: Pan India Notice Period:Immediate. Employment Type: Contract Job Description Cisco Aci Cisco Nexus, Cisco ACI, Cisco FTD Demonstrated ability to troubleshoot and resolve issues on multiple hardware platforms i.e. Cisco Nexus, Cisco ACI, Cisco FTD Cisco ACI & APIC Infrastructure experience is compulsory Should have strong experience in installing, configuring, managing and maintaining Cisco switching and routing devices including Nexus, ISR and ASR series of devices Experience in Cisco FTD is an added advantage. Strong knowledge in Network Security technology and product such as Firewall, Load Balancer, Proxies and VPN across different vendors Good work experience in : Cisco ACI, Routing and Switching, Firewalls: FortiGate, Web Proxy, Load balancer: F5 LTM/GTM, NetScaler.

Roles & Responsibilities Monitor day-to-day operations and management for customer (LAN & WAN) Network infrastructure. Configuring, Troubleshooting & Maintaining DC LAN and DC Interconnect WAN Networks. Manage and Maintain IP addressing schemes in Infoblox (IPAM) Manage and Maintain DNS & DHCP services in Infoblox Managing and monitoring Wireless Network infrastructure Network protocol configuration, maintenance, and troubleshooting Provide inputs for Capacity Planning/ Migration/ Optimization / Future upgrade strategy based on the performance trend On-Demand IOS & NS-OS Updating and hotfixes Responsible for implementing best practice/hardening Managing and monitoring of log files of network devices Preparation of Daily/Weekly/Monthly reports Regular audit of network devices and take corrective action accordingly Performance Management & Optimizatio Technical skills: Routing- Cisco Routers (ISR 43xx, ISR 44xx, ASR 1001 Series) BGP, OSPF, EIGRP Switching- Cisco Catalyst (3900, 2900, 2800 Series) Cisco Nexus (2k, 5k, 7k, 9k) Wireless- Cisco (WLC & WAP) Cisco Prime, SDWAN, DNA, ACI Palo Alto Prisma VMWare NSX-T DDI Infoblox (DNS/DHCP/IPAM) WAN Optimizer (Riverbed) Switching- Aruba / HP / Meraki Wireless- Aruba / Meraki NetBrain Mandatory Skills: Network Data Admin. Experience5-8 Years.

Ready to be a part of something big? Join our team at SoundHound AI, where AI innovation and real-world impact come together. We unite voice AI, generative AI, and conversational AI to deliver powerful AI solutions that reimagine how people interact with the products and services they rely on. Whether it s voice-enabling vehicles, streamlining patient journeys, or enhancing customer service, our multilingual, omnichannel AI technology touches the lives of hundreds of millions of people around the world. The Linguistic Program Manager validates speech and text language data used to train our ASR models. Additionally, the Linguistic Program Manager carries out various tasks that require phonetics and phonology expertise in Tamil. The role establishes the phoneme set and pronunciation rules, which will be used for building the ASR models. The Linguistic Program Manager works closely with the Testing team to create valid test phrases for relevant domains. They also provide various sample phrases to help augment our domains Language Models. In this role, you will: Assist in gathering and curating the speech and text data for our ASR team Establish phoneme sets and pronunciation rules for the target language Provide test case phrases for our domains Provide artificial training data sets for the Language Models improves domain performance Testing of our systems and analysis of the results. We would love to hear from you if: You have completion of formal language studies, a language degree, or a degree in Linguistics (or equivalent experience) You have native-level proficiency in spoken and written Tamil You have familiarity with linguistics, phonetics, and phonology You have experience as a data evaluator and with training data for machine learning You have experience in data curation, data quality, or software QA You have experience in Bash, Python, or other programming languages You have a background in project management/coordination You have proficiency with Google Docs, Jira, Confluence This role is available in Bengaluru and will be hired into Amelia Global Services, a subsidiary of SoundHound AI. Our recruiting team will provide a total compensation range based on location and years of experience _______________________ By working at SoundHound AI, you will join hundreds of employees across the globe who strive every day to create exceptional AI-powered experiences for customers, employees, and patients. We are a values-driven company that is supportive of one another, open and honest, undaunted by challenges, nimble and focused, and determined to excel and win. Our mission is to build voice AI for the world and use our global, diverse perspectives to achieve real generational breakthroughs. SoundHound ensures that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other employment benefits. Learn more about our philosophy, benefits, and culture at h ttps: / / www.soundhound.com / careers. To view our job applicant privacy policy, please visit https: / / static.soundhound.com / corpus / ta / applicantprivacynotice.html . #LI-HYBRID #LI-VN1

Dear Candidate, We are hiring for the position of Cisco ACI Data Center L2/L3 Engineer at Gurgaon, Hyderabad, Chennai and Navi Mumbai. Interested and immediate candidate can share their resume (narendra.kumar@acldigital.com). DC ACI having 6+ yrs. of industry experience. Its customer onsite requirement. 1. 3+ years hands-on experience in ACI. 2. Overall 3+ years of DC experience. 3. Good understanding in Nexus topology. 4. Understand thoroughly ACI concepts, packet flow, ACI Multipod , multisite , Standalone , Remote leaf , L4 & L7 integration , Strong on Routing & Switching , Strong knowledge in trouble Aci & nexus issues. 5. Good knowledge of ACI & nexus hardware, Firewall , load balancer & NSOX. 6. Explain issues in simple language to the client and be bridge & Trusted advisor between all parties. 7. Follows escalation matrix in timely manner and gain confidence of customer. 8. He / She should work in shift basis Rotation in Day or Night. DC ACI L3 Role and specific responsibilities Associate with customers along with appropriate internal and external resources' deployment/optimization of services and solutions. Takes ownership of task/project implementation for assigned engagements. Implement new techniques and methodologies utilized in customer delivery and share lessons learned with the broader team. Builds and reviews project work e.g. Design recommendations, High-Level Design, Low- Level Design, Implementation/ Change Management Plans. Builds and/or use test environments as the need arises to resolve sophisticated problems & compatibility issues. Expertise Any Data Centre related certification (CCNP, CCIE, VCP, etc.) is helpful and you have a drive for continuous learning. Deep technical knowledge / understandings of L2 / L3 networking protocols and technologies (VPC, STP, HSRP, OSPF, EIGRP, BGP). Strong Nexus 2K/5K/7K/9K platform knowledge and hands-on experience. Has knowledge of overlay technologies VXLAN, BGP EVPN, OTV, LISP. Has knowledge and understandings of Cisco SDN based technologies such as Cisco ACI, Cisco Programmable Network Portfolio (Standalone VXLAN-Fabric) and DCNM. Experienced in design and/or deployment of Data Center solutions including traditional DC standalone Nexus design, VXLAN Fabric-based ACI Fabric solutions using ACI MultiPod / Multisite Fabric architectures. Familiar with computing, virtualization, and container environments (Cisco UCS, Hyperflex, VMware, Microsoft, Kubernetes). Knowledge of Python, Ansible etc Warm Regards, Narendra Kumar LinkedIn : https://www.linkedin.com/in/narendra-kumar-53a480137/

About NCR Atleos Company NCR Atleos Job Title Network Operations L2 Analyst Job Location Mumbai, India Shifts Rotational A Network Operations L2 Analyst plays a crucial role in maintaining and optimizing an organizations network infrastructure. Our company is growing rapidly and is searching for experienced candidates for the position of N etwork O perations L2 A nalyst. While this is our ideal list, we will consider candidates that do not necessarily have all the qualifications but have sufficient experience and talent. Key Responsibilities I mplement and support of the corporate network infrastructure. Key member of the team responsible for designing and developing scalable and highly available global network architectures to meet the firms business needs. Participate in the design, setup and configuration of complex L2/L3 switch es. Maintain, create and update all network documentation and topology diagrams. S upport multiple datacenters consisting of Cisco Nexus LAN (L2/L3), Console switches , ASA firewalls, Cisco UCS Fabric Interconnects, Palo Alto firewalls, Cisco Wireless LAN Controllers , Aruba Device and other miscellaneous network appliances. Research, evaluate, maintain and perform Cisco IOS code upgrades for a global network infrastructure. Leverage multiple network monitoring tools to analyze network traffic patterns to proactively identify performance issues and account for capacity planning. Work with multiple vendors routinely for support, feature enhancement and design strategy when required . Responsible for managing and maintaining SD Wan networks. Full ownership of all WAN routers, configurations, QoS policies and ensuring stability of the network 24/7. Support manage and maintain all ISP Internet connectivity for the firm from multiple carriers with multiple links in multiple locations. Support, manage and maintain network monitoring system for the firms global network. This includes network performance monitoring for WAN/LAN links, network nodes, alerting and response, network configuration management and compliance and IP address management. Support of the firms global wireless infrastructure made up of all Cisco thin APs and Cisco Wireless LAN Controllers. On a rotating basis, provide after hour coverage to respond to network related issues occurring either before or after support hours. When requested , attends IT meetings and scheduled teleconferences. Other duties and projects as assigned. Opportunity to embrace the position, exposure to the latest technologies and growth potential. 3 - 5+ years related work experience preferably in a professional services environment. Experience with Cisco Nexus L2/L3 switching technology. Protocols EIGRP, BGP, OSPF, HSRP, IPSEC, VPN, NAT, 802.1Q, 802.11, LACP, Spanning-tree, UDLD, BPDU, HTTP, HTTPS, DHCP, DNS. Experience with Cisco 4500, 3850, ASR/ISR routers and Nexus 7K/9Ks. Must possess a thorough understanding of Network Infrastructure and security topology. IP telephony a plus Knowledge and/or experience configuring and supporting Cisco ASA firewalls. VPN, IPS/IDS and Palo Alto. Experience with Cisco wireless technology and LAN controllers. Any prior experience Cisco ACS, Radius, TACACS, Prime or ISE. Network monitoring tools ( SolarWinds , Site24x7 ), SNMP, Wireshark. Experience with Zscaler and/or F5 load balancers very desirable, web URL filtering is a plus but not required . Excellent written, oral and interpersonal communications skills. Ability to conduct research into network issues and products as required . Ability to communicate ideas in both technical and user-friendly language. Highly self-motivated and directed, with keen attention to detail. Proven analytical and creative problem-solving abilities. Able to prioritize and execute tasks in a high-pressure environment. Strong customer service orientation. Experience working in a team-oriented, collaborative environment. Qualification Education Bachelors degree in IT / Computer Science or equivalent streams. Cisco certifications in Routing, switching and/or Wireless is an added advantage. Work Environment This is a full-time position. Candidates must be ready to work 5 days a week from Mumbai office. Candidates should be ready to work in rotational schedules / shifts and supporting 24x7 operations. EEO Statement NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law. Statement to Third Party Agencies To ALL recruitment agenciesNCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

We are looking for a highly skilled Conversation Designer to craft engaging and effective conversational experiences for voice assistants. The ideal candidate has a deep understanding of Natural Language Understanding (NLU) concepts, experience of working with Google Platform, strong designer skills. You will work closely with Solution Architects, business stakeholders, and developers to ensure seamless conversational interactions that align with business goals. Key Responsibilities: Design conversational flows for IVR systems using Dialogflow CX, incorporating best practices in UX writing, voice interaction, and call center operations. Create and optimize user journeys, intents, training phrases, entity definitions, and dialog states to support a wide range of user inputs and outcomes. Write natural-sounding, on-brand prompts and responses tailored to voice interactions, ensuring clarity, tone consistency, and accessibility. Collaborate with cross-functional teams (developers, QA, stakeholders) to prototype, test, and iterate on conversation flows. Analyze user behavior and bot performance using analytics tools to identify areas for improvement and suggest enhancements. Develop and maintain conversation design documentation, style guides, and bot persona guidelines. Conduct usability testing and call flow simulations, incorporating user feedback and tuning NLP models to optimize performance. 3+ years of experience designing conversational experiences for voice-based bots. Experience working with conversational AI platforms, especially Google Dialogflow. Strong writing skills, with an ability to write natural, human-centric dialogue. Familiarity with call center operations, IVR/ Voice bot logic, and telephony systems (e.g., Twilio, Genesys, Avaya). Proven ability to create engaging and intuitive conversational user experiences using Visio, draw.io or any other suitable tools. Solid understanding of business use cases and the value conversational AI brings to organizations. Basic understanding of NLP concepts, including intents, entities, and training data. Experience conducting UX research or usability testing for voice interfaces is a plus. Comfortable working in Agile/Scrum environments, managing multiple projects, and communicating with technical and non-technical stakeholders. Nice to have: Knowledge of SSML, speech tuning, and TTS/ASR best practices. Basic knowledge on any programming language such as C++, C#, Node.js, or JavaScript. Portfolio showcasing conversational projects, IVR flows, or bot design samples. We offer: Culture of Relentless Performance : join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits : enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture : make the most of the flexibility that comes with remote work. Growth Mindset : reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact : collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment : be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values : join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

We are seeking an experienced Lex Voice Bot Developer to design, build, and maintain intelligent voice bots using Amazon Lex and AWS services. The ideal candidate will have strong experience with voice interaction design, cloud integration, and delivering natural language solutions. Responsibilities Experience in building and deploying voice bots using Amazon Lex, AWS Lambda, and API Gateway. Design conversational flows with intents, slots, and utterances. Integrate bots with APIs, databases, and backend systems. Optimize performance using CloudWatch, logging, and analytics tools. Collaborate with UX teams to create effective voice user experiences. Manage production deployments and ensure bot scalability and reliability. Ensure all solutions follow security, privacy, and compliance standards. 3+ years of strong hands-on experience with Amazon Lex and AWS Lambda. Solid understanding of NLP/NLU, conversation design, and voice UX. Proficiency in Python, Node.js, or JavaScript. Experience integrating with REST APIs, databases, and backend services. Familiarity with Amazon Connect and telephony integration. Knowledge of ASR (Automatic Speech Recognition) and TTS (Text-to-Speech). Experience with CI/CD pipelines and Infrastructure as Code (e.g., CloudFormation or Terraform). Strong debugging, logging, and bot performance tuning skills. Nice to have: Experience with Amazon Connect, Google Dialogflow, or Nuance. We offer: Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture: make the most of the flexibility that comes with remote work. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

About the Role We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities 1. Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. 2. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. 3. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. 4. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Spee

Job Description About the Role We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities 1. Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. 2. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. 3. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. 4. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech,

About NCR Atleos Job Title Network Operations L2 Analyst Job LocationMumbai , India Shifts Rotational : A Network Operations L2 Analyst plays a crucial role in maintaining and optimizing an organizations network infrastructure. Our company is growing rapidly and is searching for experienced candidates for the position of Network Operations L2 Analyst. While this is our ideal list, we will consider candidates that do not necessarily have all the qualifications but have sufficient experience and talent. Key Responsibilities Implement and support of the corporate network infrastructure. Key member of the team responsible for designing and developing scalable and highly available global network architectures to meet the firms business needs. Participate in the design, setup and configuration of complex L2/L3 switches. Maintain, create and update all network documentation and topology diagrams. Support multiple datacenters consisting of Cisco Nexus LAN (L2/L3), Console switches, ASA firewalls, Cisco UCS Fabric Interconnects, Palo Alto firewalls, Cisco Wireless LAN Controllers, Aruba Device and other miscellaneous network appliances. Research, evaluate, maintain and perform Cisco IOS code upgrades for a global network infrastructure. Leverage multiple network monitoring tools to analyze network traffic patterns to proactively identify performance issues and account for capacity planning. Work with multiple vendors routinely for support, feature enhancement and design strategy when required. Responsible for managing and maintaining SD Wan networks. Full ownership of all WAN routers, configurations, QoS policies and ensuring stability of the network 24/7. Support manage and maintain all ISP Internet connectivity for the firm from multiple carriers with multiple links in multiple locations. Support, manage and maintain network monitoring system for the firms global network. This includes network performance monitoring for WAN/LAN links, network nodes, alerting and response, network configuration management and compliance and IP address management. Support of the firms global wireless infrastructure made up of all Cisco thin APs and Cisco Wireless LAN Controllers. On a rotating basis, provide after hour coverage to respond to network related issues occurring either before or after support hours. When requested, attends IT meetings and scheduled teleconferences. Other duties and projects as assigned. Opportunity to embrace the position, exposure to the latest technologies and growth potential. 3 - 5+ years related work experience preferably in a professional services environment. Experience with Cisco Nexus L2/L3 switching technology. Protocols EIGRP, BGP, OSPF, HSRP, IPSEC, VPN, NAT, 802.1Q, 802.11, LACP, Spanning-tree, UDLD, BPDU, HTTP, HTTPS, DHCP, DNS. Experience with Cisco 4500, 3850, ASR/ISR routers and Nexus 7K/9Ks. Must possess a thorough understanding of Network Infrastructure and security topology. IP telephony a plus Knowledge and/or experience configuring and supporting Cisco ASA firewalls. VPN, IPS/IDS and Palo Alto. Experience with Cisco wireless technology and LAN controllers. Any prior experience Cisco ACS, Radius, TACACS, Prime or ISE. Network monitoring tools (SolarWinds, Site24x7), SNMP, Wireshark. Experience with Zscaler and/or F5 load balancers very desirable, web URL filtering is a plus but not required. Excellent written, oral and interpersonal communications skills. Ability to conduct research into network issues and products as required. Ability to communicate ideas in both technical and user-friendly language. Highly self-motivated and directed, with keen attention to detail. Proven analytical and creative problem-solving abilities. Able to prioritize and execute tasks in a high-pressure environment. Strong customer service orientation. Experience working in a team-oriented, collaborative environment. Qualification EducationBachelors degree in IT / Computer Science or equivalent streams. Cisco certifications in Routing, switching and/or Wireless is an added advantage. Work Environment: This is a full-time position. Candidates must be ready to work 5 days a week from Mumbai office. Candidates should be ready to work in rotational schedules / shifts and supporting 24x7 operations. EEO Statement NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law. Statement to Third Party Agencies To ALL recruitment agenciesNCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

Job Title: Medical Intern - Health & Technology Fellowship Location: Hybrid ( Bengaluru) Duration: 45 Days Organization: Eka Care About Eka Care Eka Care is a rapidly growing health-tech startup dedicated to building AI-powered tools that enhance clinical workflows and improve health outcomes. We combine clinical expertise with technological innovation to drive meaningful change in healthcare. Position Overview This 45-day internship gives MBBS students (any year) and graduates a unique opportunity to explore how clinical knowledge integrates with AI. Interns will contribute to high-impact health data projects, experience the pace of a health-tech startup, and gain exposure to standard medical ontologies such as SNOMED CT and LOINC. Key Responsibilities Medical Dataset Curation: Assist in creating and annotating benchmark clinical datasets for AI development. Clinical Structuring: Use your medical knowledge to structure data around diagnosis, symptoms, and treatments. Quality Control: Review ASR (Automatic Speech Recognition) data for clinical accuracy. Medical Database Development: Curate and refine structured medical information, including drugs, diseases, symptoms, and labs. Collaborate with AI and product teams to ensure clinical accuracy and relevance in health tech tools. Who Should Apply MBBS students (any year) or graduates Interested in digital health, clinical data, and AI Comfortable with medical terminology and structured data Detail-oriented and eager to explore standard ontologies like SNOMED & LOINC What Youll Gain Real-world experience at the intersection of healthcare and technology Insights into how medical knowledge fuels AI applications Exposure to clinical data standards and ontologies Mentorship from experienced teams in a fast-paced startup

SUMMARY An Associate Machine Learning (ML) Scientist at Wadhwani AI will build scientifically rigorous and robustly evaluated AI solutions that will be deployed in order to bring AI to the benefit of underserved billions across the developing world. ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows ROLES AND RESPONSIBILITIES Build robust machine learning solutions that address problems of societal importance, under the guidance of senior ML scientists. Assist in the design and evaluation of automated speech recognition (ASR) solutions, both internal as well as submitted for funding to the India AI mission at the Ministry of Electronics and Information Technology (MEITy). Translate challenges in the social sector into well-defined AI problems. Develop and execute algorithms and models to solve the identified problems effectively. Contribute to the successful and scalable deployment of AI solutions in real-world settings. Define and apply appropriate evaluation metrics to assess the impact and effectiveness of deployed solutions. Understand user challenges and contextual factors that influence the solution s performance and relevance. Curate, clean, and transform datasets for use in training and validating ML models. Conduct model training, validation, simulations, and extract meaningful insights from data. Collaborate with cross-functional teams including engineers, solution leads, and domain experts to develop holistic AI solutions. Interface with social sector organizations and stakeholders to ensure the solution meets on-ground needs. REQUIREMENTS Associate ML scientists will have a strong academic background in a quantitative field such as B.Tech. / B.E. / B.S. / M.Tech. / M.E. / M.S. / M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics or a relevant quantitative field with a work experience of 3-6 years. Candidates should preferably have experience with ASR methods. Candidates should have excellent communication skills and a willingness to adapt to the challenges of doing applied work for social good. Solid software engineering skills across one or multiple languages including Python, C++, Java. Interest in applying software engineering practices to ML projects. Track record of project work in applied machine learning. Experience in applying AI models to concrete real-world problems is a plus. Strong verbal and written communication skills in English.

SUMMARY We are looking for a Machine Learning Scientist who is passionate about applying AI and ML to solve high-impact societal challenges. The ideal candidate will have a strong research and/or applied background with 6+ years of relevant experience or a PhD, and expertise in designing and implementing machine learning models, data analysis, and simulations. Candidates with experience in Automated Speech Recognition (ASR) are preferred for this role. They should be skilled in mentoring junior researchers, working in cross-functional teams, and contributing to both practical deployments and academic research. A demonstrated commitment to social good, strong communication skills, and the ability to translate complex problems into deployable ML solutions are essential. ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows ROLES AND RESPONSIBILITIES As an ML Scientist, you will be responsible for building machine learning solutions to problems of societal importance, and mentoring other team members in this effort. You will participate in problem definition and the development and execution of algorithms and solutions to the problems. As an ASR expert, you will also be assisting in the design of evaluations for ASR solutions submitted for funding to the India AI mission at the Ministry of Electronics and Information Technology (MEITy). You will play an advisory role in the execution of these evaluations. In order to apply machine learning and related technologies for social good, you will need to understand user challenges and their context, curate and transform data, train and validate models, run simulations, and broadly derive insights from data. In doing so, you will work in cross-functional teams spanning engineering, solutions, domain experts, and designers. You will also work closely with social sector organisations, and are encouraged to collaborate with researchers across the world. You will be encouraged to drive fundamental advances to the technology domains themselves as part of the efforts towards their application, present your work in technical and other forums of interest, and publish in leading conferences and journals. At Wadhwani AI, excellence as an individual contributor goes hand-in-hand with good teamwork and collaboration. You will mentor junior researchers, post-docs, and interns, and participate in recruiting and hiring activities. You will also be expected to interact with external partners of Wadhwani AI when required, and to make periodic visits to the communities from where challenges are derived and where the solutions will be deployed. REQUIREMENTS M.Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics or a relevant quantitative field with work experience of 6+ years or a PHd from a reputed institute. Experience and expertise in ASR is preferred. We are looking for ML Scientists with experience applying AI, machine learning, and data science to real-world problems. Ideal candidates should have a strong research background, have experience in mentoring junior researchers through strong code practices and ideation, and be adept at a variety of data mining/analysis methods and tools, building and implementing models, visualising data, creating/using algorithms, and running simulations. Familiarity with popular deep learning algorithms is a strong plus, however demonstrated willingness and ability to learn will also be considered. Candidates should be comfortable working with cross-functional teams and must have excellent oral and written communication skills and a track record of driving projects to completion. Evidence of written skills through high quality research publications is a plus. Candidates should be passionate about using their technical skills to solve large societally important problems.