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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.

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.

Your day at NTT DATA The Networking Managed Services Engineer (L3) is a seasoned engineering role, responsible for providing a managed service to clients by proactively identifying and resolving technical incidents and problems. Through pre-emptive service incident and resolution activities, as well as product reviews, operational improvements, operational practices, and quality assurance this role maintains a high level of service to clients. The primary objective of this role is to ensure zero missed service level agreement (SLA) conditions and is responsible for managing tickets of high complexity, conducts advanced and complicated tasks, and provides resolution to a diverse range of complex problems. This position uses considerable judgment and independent analysis within defined policies and practices and applies analytical thinking and deep technical expertise in achieving client outcomes, while coaching and mentoring junior team members across functions. The Networking Managed Services Engineer (L3) may also contribute to / support on project work as and when required. What youll be doing Key Responsibilities: Degree BE/B.Tech/MCA in IT/Computer Science/ Electronics & Communication/Electronics or higher/Diploma in Computer Science with CCNA/CCNP Certification. Total 7 to 10 years of experience Network Administrator Hands on experience on Multicast ,ACI or equivalent technologies from below OEM platforms ,ISE ,Nexus switching, ASR ,VMware NSX Engineer should have expertise in areas like troubleshooting and handling of various Networking devices and technology viz., Networking (LAN/WAN), switches, Routers etc. Configuration and Management of Network devices Understanding, Configuration and administration of Cisco ACI solution Network devices HA configuration build, monitor & support Experience in Network Infrastructure solutions review Experience in performance management and capacity planning for Network requirements Knowledge and Attributes: Ability to communicate and work across different cultures and social groups. Ability to plan activities and projects well in advance, and takes into account possible changing circumstances. Ability to maintain a positive outlook at work. Ability to work well in a pressurized environment. Ability to work hard and put in longer hours when it is necessary. Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information, and refraining from interrupting. Ability to adapt to changing circumstances. Ability to place clients at the forefront of all interactions, understanding their requirements, and creating a positive client experience throughout the total client journey. Additional skills proficiency such as (but not limited to) - Pulse Secure SSL VPN / Virtual Juniper, Palo Alto, Fortinet Firewalls / Cisco Nexus switches, ASR and ISR routers / Cisco ACS, ISE / Meraki switches and access points / Enterprise network architecture / Common routing protocolsBGP,OSPF, EIGRP / Network address translation / Configuring, monitoring and troubleshooting uplinks to ISPs for DIA, MPLS and P2P circuits / Familiarity with common network management and monitoring tools such as SecureCRT, Logic Monitor. Academic Qualifications and Certifications: Bachelors degree or equivalent qualification in IT/Computing (or demonstrated equivalent work experience). CCNP or equivalent certification. Certifications relevant to the services provided (certifications carry additional weightage on a candidates qualification for the role). Required Experience: Seasoned experience required in Engineering function within a medium to large ICT organization. Seasoned experience of Managed Services. Seasoned working knowledge of ITIL processes. Seasoned experience working with vendors and/or 3rd parties. Workplace type On-site Working

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion its a place where you can grow, belong and thrive. Your day at NTT DATA The Networking Managed Services Engineer (L3) is a seasoned engineering role, responsible for providing a managed service to clients by proactively identifying and resolving technical incidents and problems. Through pre-emptive service incident and resolution activities, as well as product reviews, operational improvements, operational practices, and quality assurance this role maintains a high level of service to clients. The primary objective of this role is to ensure zero missed service level agreement (SLA) conditions and is responsible for managing tickets of high complexity, conducts advanced and complicated tasks, and provides resolution to a diverse range of complex problems. This position uses considerable judgment and independent analysis within defined policies and practices and applies analytical thinking and deep technical expertise in achieving client outcomes, while coaching and mentoring junior team members across functions. The Networking Managed Services Engineer (L3) may also contribute to / support on project work as and when required. What youll be doing Key Responsibilities: Ensures that assigned infrastructure at the client site is configured, installed, tested, and operational Performs necessary checks, apply monitoring tools and respond to alerts. Identifies problems and errors prior to or when it occurs and log all such incidents in a timely manner with the required level of detail. Assists in analyzing, assigning, and escalating support calls. Investigates third line support calls assigned and identify the root cause of incidents and problems Reports and escalates issues to 3rd party vendors if necessary. Provides onsite technical support to clients and provide field engineering services to clients. Conducts a monthly random review of incidents and service requests, analyze and recommend improvement in quality. Provides continuous feedback to clients and affected parties and update all systems and/or portals as prescribed by the company. Proactively identifies opportunities for work optimization including opportunities for automation of work. May manage and implement projects within technology domain, delivering effectively and promptly per client agreed upon requirements and timelines. May work on implementing and delivering Disaster Recovery functions and tests. Performs any other related task as required. Knowledge and Attributes: Ability to communicate and work across different cultures and social groups. Ability to plan activities and projects well in advance, and takes into account possible changing circumstances. Ability to maintain a positive outlook at work. Ability to work well in a pressurized environment. Ability to work hard and put in longer hours when it is necessary. Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information, and refraining from interrupting. Ability to adapt to changing circumstances. Ability to place clients at the forefront of all interactions, understanding their requirements, and creating a positive client experience throughout the total client journey. Additional skills proficiency such as (but not limited to) - Pulse Secure SSL VPN / Virtual Juniper, Palo Alto, Fortinet Firewalls / Cisco Nexus switches, ASR and ISR routers / Cisco ACS, ISE / Meraki switches and access points / Enterprise network architecture / Common routing protocolsBGP,OSPF, EIGRP / Network address translation / Configuring, monitoring and troubleshooting uplinks to ISPs for DIA, MPLS and P2P circuits / Familiarity with common network management and monitoring tools such as SecureCRT, Logic Monitor. Academic Qualifications and Certifications: Bachelors degree or equivalent qualification in IT/Computing (or demonstrated equivalent work experience). CCNP or equivalent certification. Certifications relevant to the services provided (certifications carry additional weightage on a candidates qualification for the role). Required Experience: Seasoned experience required in Engineering function within a medium to large ICT organization. Seasoned experience of Managed Services. Seasoned working knowledge of ITIL processes. Seasoned experience working with vendors and/or 3rd parties. Workplace type On-site Working

Your day at NTT DATA The Networking Managed Services Engineer (L1) is an entry level engineering role, responsible for providing a managed service to clients to ensure that their IT infrastructure and systems remain operational through proactively identifying, investigating, and resolving technical incidents and problems and restoring service to clients by managing incidents to resolution. This role has the primary objective is to ensure zero missed service level agreement (SLA) conditions and focuses on first-line support for standard and low complexity incidents and service requests. This role may also contribute to / support on project work as and when required. What youll be doing Key Responsibilities: Monitors client infrastructure and solutions. Identifies problems and errors prior to or when they occur. Routinely identifies common incidents and opportunities for avoidance as well as general opportunities for incident reduction. Investigates first line incidents assigned and identifies the root cause of incidents and problems. Fulfils approved requests following agreed procedures. Provides telephonic or chat support to clients when required. Executes approved maintenance activities including patching and configuration changes. Follows the required handover procedures for shift changes to ensure service continuity. Reports and escalates incidents where necessary. Ensures the efficient and comprehensive resolutions of incidents and requests. Proactively identifies opportunities for work optimization. Updates existing knowledge articles or creates new ones. Identifies opportunities for work optimization including opportunities for automation of work, request fulfilment, incident resolution, and other general process improvement opportunities. May also contribute to / support on project work as and when required. May work on implementing and delivering Disaster Recovery functions and tests. Performs any other related task as required. Knowledge and Attributes: Ability to communicate and work across different cultures and social groups. Ability to plan activities and projects well in advance, and takes into account possible changing circumstances. Ability to maintain a positive outlook at work. Ability to work well in a pressurized environment. Ability to work hard and put in longer hours when it is necessary. Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information, and refraining from interrupting. Ability to adapt to changing circumstances. Ability to place clients at the forefront of all interactions, understanding their requirements, and creating a positive client experience throughout the total client journey. Additional skills proficiency such as (but not limited to): Pulse Secure SSL VPN / Virtual Juniper, Palo Alto, Fortinet Firewalls / Cisco Nexus switches, ASR and ISR routers / Cisco ACS, ISE / Meraki switches and access points / Enterprise network architecture / Common routing protocolsBGP,OSPF, EIGRP / Network address translation / Configuring, monitoring and troubleshooting uplinks to ISPs for DIA, MPLS and P2P circuits / Familiarity with common network management and monitoring tools such as SecureCRT, Logic Monitor. Academic Qualifications and Certifications: Bachelors degree or equivalent qualification in Information Technology/Computing (or demonstrated equivalent work experience). CCNA or equivalent certification. Certifications relevant to the services provided (certifications carry additional weightage on a candidates qualification for the role). Required Experience: Entry-level experience or completion of the relevant intern program. Entry-level experience with troubleshooting and providing the support required in network / data center / systems / storage administration and monitoring Services within a medium to large ICT organization. Basic knowledge of management agents, redundancy concepts, and products within the supported technical domain (i.e. Network, Data Centre, Telephony, Exchange, Storage, Cloud, Backup, etc.). Workplace type On-site Working

Your day at NTT DATA The Networking Managed Services Engineer (L2) is a developing engineering role, responsible for providing a managed service to clients to ensure that their IT infrastructure and systems remain operational through proactively monitoring, identifying, investigating, and resolving technical incidents and problems and restoring service to clients. The primary objective of this role is to proactively review client requests or tickets and apply technical/process knowledge to resolve them without breaching service level agreement (SLA) and focuses on second-line support for incidents and requests with a medium level of complexity. The Networking Managed Services Engineer (L2) may also contribute to support on project work as and when required. What you'll be doing Key Responsibilities: Proactively monitors the work queues. Performs operational tasks to resolve all incidents/requests in a timely manner and within the agreed SLA. Updates tickets with resolution tasks performed. Identifies, investigates, analyzes issues and errors prior to or when they occur, and log all such incidents in a timely manner. Captures all required and relevant information for immediate resolution. Provides second level support to all incidents, requests and identifies the root cause of incidents and problems. Communicates with other teams and clients for extending support. Executes changes with clear identification of risks and mitigation plans to be captured into the change record. Follows the shift handover process highlighting any key tickets to be focused on along with a handover of upcoming critical tasks to be carried out in the next shift. Escalates all tickets to seek the right focus from CoE and other teams, if needed continue the escalations to management. Works with automation teams for effort optimization and automating routine tasks. Coaches Service Desk and L1 teams for technical and behavioural skills. Establishes monitoring for client infrastructure. Identifies problems and errors before they impact a clients service. Leads and manages all initial client escalation for operational issues. Contributes to the change management process by logging all change requests with complete details for standard and non-standard including patching and any other changes to Configuration Items. Ensures all changes are carried out with proper change approvals. Plans and executes approved maintenance activities. Audits and analyses incident and request tickets for quality and recommends improvements with updates to knowledge articles. Produces trend analysis reports for identifying tasks for automation, leading to a reduction in tickets and optimization of effort. May also contribute to support on project work as and when required. May work on implementing and delivering Disaster Recovery functions and tests. Performs any other related task as required. Knowledge and Attributes: Ability to communicate and work across different cultures and social groups. Ability to plan activities and projects well in advance, and takes into account possible changing circumstances. Ability to maintain a positive outlook at work. Ability to work well in a pressurized environment. Ability to work hard and put in longer hours when it is necessary. Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information, and refraining from interrupting. Ability to adapt to changing circumstances. Ability to place clients at the forefront of all interactions, understanding their requirements, and creating a positive client experience throughout the total client journey. Additional skills proficiency such as (but not limited to) - Pulse Secure SSL VPN Virtual Juniper, Palo Alto, Fortinet Firewalls Cisco Nexus switches, ASR and ISR routers Cisco ACS, ISE Meraki switches and access points Enterprise network architecture Common routing protocols: BGP,OSPF, EIGRP Network address translation Configuring, monitoring and troubleshooting uplinks to ISPs for DIA, MPLS and P2P circuits Familiarity with common network management and monitoring tools such as SecureCRT, Logic Monitor Academic Qualifications and Certifications: Bachelor's degree or equivalent qualification in IT/Computing (or demonstrated equivalent work experience). CCNP or equivalent certification. Certifications relevant to the services provided (certifications carry additional weightage on a candidates qualification for the role). Required Experience: Moderate level of relevant managed services experience. Moderate level knowledge in ticketing tools preferably Service Now. Workplace type : On-site Working

Want to join a startup team building new Alexa experiences for hospitality and other out of home segments? Customers tell us they love the convenience of Alexa and smart home, and we want to extend those experiences to shared living spaces such as rentals, assisted living and more. We are looking for a passionate, hard-working, and talented professional who has experience building innovative, mission critical, high volume applications that customers love. You will be a technical leader and have significant impact on the design, architecture, and implementation of services and experiences. We manage and create billing related software for Alexa Enterprise use cases. The ideal candidate is passionate about Alexa and has a demonstrable track record of success in delivering new features and products. You take pragmatic and iterative approach to building software: you have an ability to simplify and get things done, love experimentation and rapid iterations on the new concepts. You are focused, thoughtful leader of your team who works effectively with external and internal partners. You are highly quantitative, have great judgment and passion for building a great customer experience. Amazon Alexa, Alexa, Amazon Echo, Echo, object oriented, Java, Linux, large scale distributed systems, distributed systems, high availability, speech and language understanding, NLU, ASR, Seattle, Senior Software Development Engineer, Senior Software Dev, SDE3, SDE III, Senior SDE, Senior Software Dev, Senior Software Engineer, Amazon Seattle Software Development, Cloud, web services, SOA, service oriented architecture, AWS services, no-SQL databases, micro services, Software Development Manager, Define the strategy and roadmap for the Alexa Enterprise Billing team Hire and develop the industry s best talent to build a strong and well-balanced team Work across the organization to deliver the best in-class Alexa experience for our customers while balancing critical business objectives Own and operate mission critical services that are highly reliable 7+ years of engineering experience 3+ years of engineering team management experience 8+ years of leading the definition and development of multi tier web services experience Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Experience partnering with product or program management teams Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. This position requires a deep understanding of machine learning model behavior, strong attention to detail, and a passion for building high-quality AI systems. We are seeking a Model QA Engineer with hands-on experience in evaluating real-time speech and language models. In this role, you ll act as the first line of defense for ensuring the performance, stability, and reliability of our deployed AI systems. You ll work closely with Machine Learning Researchers, Data Analysts, and Product Managers to detect regressions, surface edge cases, and deliver actionable insights that help shape future models. Key Responsibilities: Conduct end-to-end evaluation of ML models through structured listening tests, regression analysis, and failure case identification Analyze customer call recordings to replicate issues and validate model behavior across different environments and configurations Participate in internal dogfooding, model AB testing, and cross-version comparisons with clear documentation of findings Collaborate with research teams to debug, interpret and report model output anomalies Curate diverse, representative datasets for recurring QA evaluations and benchmarks Maintain quality and consistency in evaluation documentation, ensuring traceability and reproducibility of results Track ongoing model performance and provide timely reports highlighting areas of improvement or risk Assist in QA automation efforts to streamline model evaluation workflows over time Must have qualifications: 2+ years of experience in a QA, Model QA, Speech Evaluation, or ML testing role Familiarity with speech/audio quality concepts (e.g., fidelity, intelligibility, latency, robustness) Experience working with audio listening tools (Audacity, Praat) and evaluation metrics (PESQ, STOI, MOS etc.) Excellent communication skills and the ability to write structured, actionable feedback for technical teams Proven ability to identify subtle performance issues in AI model outputs Comfortable working with large datasets (CSV, JSON) and using tools like Excel, Google Sheets or Python for analysis Highly detail-oriented with a proactive and investigative mindset Preferred qualifications: Background in linguistics, phonetics, audio engineering, or speech science Experience working in cross-functional ML product teams Exposure to ASR, TTS, or real-time audio systemsFamiliarity with tools like Git, Jira, Notion, or Confluence Understanding of ML model deployment cycles and CI/CD pipelines Prior experience with annotation platforms or feedback loop systems for ML models Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. We re looking for a sharp, hands-on Data Engineer to help us build and scale the data infrastructure that powers cutting-edge audio and speech AI products. You ll be responsible for designing robust pipelines, managing high-volume audio data, and enabling machine learning teams to access the right data fast. As one of the first dedicated data engineers on the team, youll play a foundational role in shaping how we handle data end-to-end, from ingestion to training-ready features. Youll work closely with ML engineers, research scientists, and product teams to ensure data is clean, accessible, and structured for experimentation and production. Key Responsibilities : Build scalable, fault-tolerant pipelines for ingesting, processing, and transforming large volumes of audio and metadata. Design and maintain ETL workflows for training and evaluating ML models, using tools like Airflow or custom pipelines. Collaborate with ML research scientists to make raw and derived audio features (e.g., spectrograms, MFCCs) efficiently available for training and inference. Manage and organize datasets, including labeling workflows, versioning, annotation pipelines, and compliance with privacy policies. Implement data quality, observability, and validation checks across critical data pipelines. Help optimize data storage and compute strategies for large-scale training. Qualifications : 2-5 years of experience as a Data Engineer, Software Engineer, or similar role with a focus on data infrastructure. Proficient in Python, SQL, and working with distributed data processing tools (e.g., Spark, Dask, Beam). Experience with cloud data infrastructure (AWS/GCP), object storage (e.g.,S3), and data orchestration tools. Familiarity with audio data and its unique challenges (large file sizes, time-series features, metadata handling) is a strong plus. Comfortable working in a fast-paced, iterative startup environment where systems are constantly evolving. Strong communication skills and a collaborative mindset you ll be working cross-functionally with ML, infra, and product teams. Nice to Have : Experience with data for speech models like ASR, TTS, or speaker verification. Knowledge of real-time data processing (e.g., Kafka, WebSockets, or low-latency APIs). Background in MLOps, feature engineering, or supporting model lifecycle workflows. Experience with labeling tools, audio annotation platforms, or human-in-the-loop systems. Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future

We are seeking a Senior Azure Cloud Architect with a strong background in designing and managing cloud infrastructure using Azure. The ideal candidate will have extensive experience with base infrastructure creation using Terraform, Azure DevOps, and security best practices. They should also be well-versed in CI/CD pipelines, security auditing, Windows monthly patching, and various Azure services, including Imperva, Azure Search, Firewalls, Redis Cache, Key Vault, Service Bus, Azure Site Recovery (ASR), Networking, Operations Management Suite (OMS), Blob Storage, Resource Groups, Network Security Groups (NSG), Application Insights, SQL Server, SQL Database, and Load Balancers. Key Responsibilities: Design, implement, and maintain scalable, secure, and high-performance cloud infrastructure solutions using Azure. Lead the creation and management of base infrastructure using Terraform. Ensure the implementation of security best practices across cloud infrastructure, including firewalls, Network Security Groups (NSG), Key Vault, and other security controls. Manage and optimize Azure DevOps pipelines for continuous integration and continuous deployment (CI/CD). Oversee Windows monthly patching and ensure systems are up-to-date with the latest security patches. Conduct security audits and assessments to identify and mitigate potential risks and vulnerabilities. Implement and manage Azure services, including Azure Search, Redis Cache, Service Bus, Azure Site Recovery (ASR), and Blob Storage. Design and manage networking solutions within Azure, including Virtual Networks, NSGs, and Load Balancers. Utilize Application Insights and OMS for monitoring and diagnostics of cloud applications and infrastructure. Manage SQL Server and SQL Database instances, ensuring high availability, performance, and security. Collaborate with development, security, and operations teams to ensure seamless integration and support of Azure-based solutions. Provide technical guidance and mentorship to other team members and stakeholders. Stay up-to-date with the latest Azure features, best practices, and industry trends.

As an AI Voice LLM Integration Developer, you will play a pivotal role in building and optimizing Your work will focus on: Integrating GPT's ASR (speech-to-text) and TTS (text-to-speech) APIs into our platform. Handling real-time voice streaming from VoIP/SIP systems. Optimizing low-latency communication between AI models and telephony platforms (e.g., FreeSWITCH, WebRTC). Supporting PBX call routing handoWs with AI agents. Ensuring high-quality, natural-sounding AI-driven voice interactions. Key Responsibilities Design and develop real-time voice processing pipelines for AI-driven conversations. Integrate OpenAI's Whisper (ASR) and TTS APIs with VoIP and WebRTC systems. Develop low-latency audio streaming middleware between telephony providers(Telnyx, Bandwidth) and GPT. Work with SIP and WebRTC to ensure seamless audio transmission. Implement PBX call routing and AI handoW mechanisms (e.g., transferring AI-handled calls to human agents). Optimize AI voice latency and response times for a real-time, natural experience. Collaborate with VoIP engineers to integrate AI capabilities into SIP-based systems. Design APIs to manage AI-driven IVR workflows and customer interactions. Ensure compliance with telephony regulations (e.g., STIR/SHAKEN, call recording laws). Monitor system performance and implement scalability strategies for voice interactions. Required Qualifications AI LLM Integration o Experience integrating GPT APIs (ChatGPT, Whisper, TTS engines) for voice applications. o Understanding of real-time AI voice processing and conversational AI workflows. Voice Audio Streaming o Experience working with low-latency, real-time audio streaming. o Familiarity with WebRTC, SIP/RTP, and VoIP streaming. Programming Middleware Development o Proficiency in Python, Node.js, or Go for API and middleware development. o Experience developing RESTful APIs and real-time streaming solutions. VoIP Telephony Knowledge o Familiarity with SIP, FreeSWITCH, Asterisk, or other PBX platforms. o Experience working with SIP trunking providers (Telnyx, Bandwidth, Flowroute, etc.). Performance Optimization o Ability to reduce latency in AI-driven conversations. o Experience with audio codec optimization (G.711, Opus, etc.). One or more of the following additional qualifications: o Experience with STT/ASR models beyond GPT (Google Speech-to- Text, Deepgram, Kaldi). o Background in signal processing or audio engineering. o Familiarity with cloud-based voice solutions (AWS Connect, Twilio Voice, Dialogflow CX). o Knowledge of containerization (Docker, Kubernetes) for scaling AI voice workloads. o Experience with multi-tenant architectures for voice AI.

RPG Group External Job Description Explain the need to add an extra HC to do this job Required for quick resolution of service support in West & South region including supervision of commissioning, attending customer complaints & coordinating in site support activities. Currently only one person is taking care of all site activities. Purpose of the Role 1. Regional presence of service engineer for timely closure of issues 2. Attending contractual requirements for installation & commissioning supervision 3. Quick resolution of complaints at site Key Metrics of the Role On time site support for west & South Region Customer complaints resolution at site Feedback from site for improvement actions at plant activities Co- ordination in ASR at various sites & their commercial activities completion Evaluation of ASRs Conducting Customer Trainings at sites Analysis of customer complaints at with feedback from site Ensuring corrective actions identified in installation & commissioning. Key Deliverables On time site support for west & South Region Customer complaints resolution at site Feedback from site for improvement actions at plant activities Co- ordination in ASR at various sites & their commercial activities completion Evaluation of ASRs Conducting Customer Trainings at sites Analysis of customer complaints at with feedback from site Ensuring corrective actions identified in installation & commissioning Competencies Solving Complex Problems Managing From a Distance Resolving Conflict Managing Risk Customer Centricity

Explain the need to add an extra HC to do this job Required for quick resolution of service support in West & South region including supervision of commissioning, attending customer complaints & coordinating in site support activities. Currently only one person is taking care of all site activities. Purpose of the Role 1. Regional presence of service engineer for timely closure of issues 2. Attending contractual requirements for installation & commissioning supervision 3. Quick resolution of complaints at site Key Metrics of the Role On time site support for west & South Region Customer complaints resolution at site Feedback from site for improvement actions at plant activities Co- ordination in ASR at various sites & their commercial activities completion Evaluation of ASRs Conducting Customer Trainings at sites Analysis of customer complaints at with feedback from site Ensuring corrective actions identified in installation & commissioning. Key Deliverables On time site support for west & South Region Customer complaints resolution at site Feedback from site for improvement actions at plant activities Co- ordination in ASR at various sites & their commercial activities completion Evaluation of ASRs Conducting Customer Trainings at sites Analysis of customer complaints at with feedback from site Ensuring corrective actions identified in installation & commissioning Competencies Solving Complex Problems Managing From a Distance Resolving Conflict Managing Risk Customer Centricity

Job Description : Expertise in WAN/LAN WIFI network troubleshooting Troubleshoot and identify complex network problems affecting LAN, WAN, Internet connections and issues of end users Experience with Catalyst & Core switches, ASR/ISR routers Experience and hands on with Cisco Wireless LAN controllers, Cisco Prime, Wi fi Connectivity of user s issue. Experience with routing protocols: OSPF, EIGRP, BGP. Switching protocol STP, PVST, VTP, MST. Experience and hands on with Cisco Switches and router configuration with fair knowledge of routing protocol. Strong problem-solving experience in networking is required and end to end resolution. Install, monitor, manage, and troubleshoot, Cisco equipment Worked on Ticketing Tool and operational day to day Operations support, Perform Incident, Problem, Change, Provisioning, Patching, Availability, Performance, Capacity reporting and Health Monitoring and reporting. Experience and hands on with Cisco Wireless LAN controllers, Cisco Prime, Aruba, Wi fi Connectivity of user s issue. Ready to work in rotational shift. Site visit as per the incident or activity requirement

Job Overview: We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences. Location: Hyderabad (5 Days work from office) Working Days: Sunday- Thursday Timings: 10 AM-6 PM Key Responsibilities: LLM Development & Integration: Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support. Evaluate and improve the performance of LLMs in real-world scenarios. NLP System Design: Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization. Work with large datasets to train and validate NLP models. Collaborate with cross-functional teams to identify and address language-based challenges. Speech-to-Text Implementation: Develop and optimize speech-to-text pipelines for various languages and dialects. Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality. Stay updated on the latest advancements in automatic speech recognition (ASR). Performance Optimization: Enhance AI model efficiency for scalability and real-time processing. Address biases, improve accuracy, and ensure robustness in all models. Research and Innovation: Stay abreast of the latest research in LLM, NLP, and speech technologies. Experiment with emerging techniques and integrate them into company solutions. Documentation and Collaboration: Maintain comprehensive documentation for models, processes, and systems. Collaborate with product managers, software engineers, and other stakeholders. Qualifications: Minimum 8+ years of experience required. Bachelors/Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven experience in LLM deve

Unleash your passion for innovation at the forefront of artificial intelligence! We are seeking talented applied scientists who are driven to revolutionize customer experiences through technologies. Join our team and embark on a journey to redefine the boundaries of machine learning, deep learning, reinforcement learning, and large language models (LLMs). At our team, youll have the opportunity to tackle complex challenges across various domains, from optimizing marketing strategies to enhancing delivery time predictions. Whether your expertise lies in teaching machines to learn and adapt, building intelligent systems that interact using human-like language, or creating seamless user experiences, we offer a role that aligns with your skills and ambitions. Our full-time positions span several key areas, including: 1. Machine Learning: Unleash the power of machine learning theory through experimentation and innovation. Leverage techniques such as random forests, Bayesian networks, ensemble learning, and clustering to develop learning systems capable of handling massive datasets and solving previously intractable problems. 2. Reinforcement Learning: Drive advancements in reinforcement learning by developing algorithms that enable systems to make sequential decisions, learn from their environment, and optimize performance in dynamic, complex scenarios. Apply your expertise to create intelligent systems that learn and adapt in real time. 3. Large Language Models (LLMs): Work on state-of-the-art LLMs to push the boundaries of natural language understanding and generation. Develop and deploy models that can comprehend, generate, and interact using human-like language, enabling a wide range of application-oriented solutions. 4. Natural Language Processing and Speech Technologies: Engage with research in natural language processing. We are hiring in all areas of spoken language understanding, including NLP, NLU, ASR, and text-to-speech (TTS), to tackle complex challenges in human-computer interaction. 5. Computer Vision and Robotics: Develop solutions where visual input enhances customer experiences. Work with advanced technology, focusing on highly targeted use cases to launch products that offer innovative and practical solutions to real-world problems. Join us and be part of a team that is redefining the future of artificial intelligence. Embrace the opportunity to invent, design, and implement state-of-the-art technologies that drive impactful outcomes and create unforgettable customer experiences. - Access and work with vast datasets containing billions of images, videos, and other forms of data to build large-scale, high-impact systems. - Analyze and model terabytes of text, images, and various data types to tackle real-world problems, translating business and functional requirements into rapid prototypes or proofs of concept. - Lead the design and development of end-to-end systems, taking ownership of solutions from concept to deployment. - Write technical white papers, develop technical roadmaps, and drive production-level projects that support critical initiatives. - Collaborate closely with business partners to develop innovative solutions and deploy them into production, solving complex business problems. - Engage with diverse teams and cross-functional groups to address and solve complex challenges, driving value and efficiency across the organization. - Your work will push the boundaries of whats possible and deliver technologies that enhance customer experiences worldwide. - Masters degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in designing experiments and statistical analysis of results - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals

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 We are looking for a visionary Head of Engineering (AI & ML) with extensive experience in leading AI/ML initiatives, team leadership, and end-to-end product delivery. This role combines strategic leadership with deep technical expertise to drive the development of advanced AI solutions, such as Agent Assist, IVA, Chatbots, Conversational Intelligence, and Data Visualization. You will work at the intersection of cutting-edge technology and business strategy, managing high-performing teams to deliver scalable, high-value AI products. Key Responsibilities: Strategic Leadership Vision and Strategy: Partner with leadership to define AI product visions, success metrics, and strategic initiatives. Roadmap Development: Shape the medium and long-term AI product roadmap, aligning technical capabilities with business objectives. Emerging Trends: Serve as a thought leader, identifying and championing the adoption of emerging AI/ML trends and technologies. AI Product & Technical Delivery AI/ML Model Development: Oversee the training, fine-tuning, and deployment of advanced AI models, including NLP, ASR, TTS, and generative AI systems. Product Innovation: Drive the design and implementation of core AI/ML features to support intelligent automation and conversational experiences. Resource Management: Strategically plan and allocate team resources to meet roadmap goals and manage dependencies effectively. Scalability: Architect scalable AI systems with high availability, low latency, and adherence to SLAs. Engineering Leadership Technical Guidance: Provide hands-on technical leadership, diving into architecture, code, and design while managing the broader product delivery. Team Performance: Build and sustain an engineering rhythm that fosters high performance, knowledge sharing, and smooth execution. MLOps & Infrastructure: Establish scalable infrastructure and automated pipelines for model training, deployment, and performance monitoring. Team Development and Culture Mentorship: Act as a coach and mentor to foster technical growth and career development for team members. Inclusive Culture: Build a fun, inclusive, and supportive work environment that aligns with company values and encourages collaboration. Exemplify Leadership Principles: Inspire the team by modeling resilience, learning from failures, and celebrating the success of others. Cross-Functional Collaboration Partnerships: Collaborate with product management, design, and business stakeholders to ensure AI solutions meet market and regulatory requirements. Communication: Translate complex technical strategies into clear, actionable insights for both technical and non-technical stakeholders. Required Qualifications: Education: Master s degree in Applied Mathematics, Computer Science, or a related field. Experience: 10+ years in software engineering with expertise in AI/ML. Proven track record in leading teams to deliver AI products such as IVA, chatbots, or conversational intelligence. Hands-on experience with VoIP communications and real-time AI-driven solutions. Strong foundation in end-to-end AI product development and regulatory compliance. Demonstrated ability to evaluate and implement algorithmic solutions tailored to business use cases. Technical Skills: Deep knowledge of NLP, machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Experience deploying AI systems at scale using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). Expertise in optimization techniques like vLLM, quantization, and LoRA for high-performance inferencing. Proficiency in programming languages such as Python and experience building production-grade pipelines. Preferred Skills: MLOps Expertise: Advanced knowledge of CI/CD pipelines, monitoring tools (MLflow, Airflow), and distributed training frameworks. Scalable Training Infrastructure: Hands-on experience with GPU/TPU workloads and frameworks like Horovod or DeepSpeed. Generative AI Expertise: Experience designing Retrieval-Augmented Generation (RAG) systems and fine-tuning large language models for domain-specific applications. Leadership Attributes: Strong people management and mentoring skills with a proven ability to build high-performing teams. Ability to measure team impact, set clear goals, and drive collaboration across functions. Exceptional problem-solving and decision-making skills in ambiguous, high-impact scenarios. If you re passionate about leading the development of transformative AI/ML solutions and want to make an organizational impact through innovative technologies, apply now to join our team! 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-SC1 #LI-Hybrid

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 We are looking for a visionary Head of Engineering (AI & ML) with extensive experience in leading AI/ML initiatives, team leadership, and end-to-end product delivery. This role combines strategic leadership with deep technical expertise to drive the development of advanced AI solutions, such as Agent Assist, IVA, Chatbots, Conversational Intelligence, and Data Visualization. You will work at the intersection of cutting-edge technology and business strategy, managing high-performing teams to deliver scalable, high-value AI products. Key Responsibilities: Strategic Leadership Vision and Strategy: Partner with leadership to define AI product visions, success metrics, and strategic initiatives. Roadmap Development: Shape the medium and long-term AI product roadmap, aligning technical capabilities with business objectives. Emerging Trends: Serve as a thought leader, identifying and championing the adoption of emerging AI/ML trends and technologies. AI Product & Technical Delivery AI/ML Model Development: Oversee the training, fine-tuning, and deployment of advanced AI models, including NLP, ASR, TTS, and generative AI systems. Product Innovation: Drive the design and implementation of core AI/ML features to support intelligent automation and conversational experiences. Resource Management: Strategically plan and allocate team resources to meet roadmap goals and manage dependencies effectively. Scalability: Architect scalable AI systems with high availability, low latency, and adherence to SLAs. Engineering Leadership Technical Guidance: Provide hands-on technical leadership, diving into architecture, code, and design while managing the broader product delivery. Team Performance: Build and sustain an engineering rhythm that fosters high performance, knowledge sharing, and smooth execution. MLOps & Infrastructure: Establish scalable infrastructure and automated pipelines for model training, deployment, and performance monitoring. Team Development and Culture Mentorship: Act as a coach and mentor to foster technical growth and career development for team members. Inclusive Culture: Build a fun, inclusive, and supportive work environment that aligns with company values and encourages collaboration. Exemplify Leadership Principles: Inspire the team by modeling resilience, learning from failures, and celebrating the success of others. Cross-Functional Collaboration Partnerships: Collaborate with product management, design, and business stakeholders to ensure AI solutions meet market and regulatory requirements. Communication: Translate complex technical strategies into clear, actionable insights for both technical and non-technical stakeholders. Required Qualifications: Education: Master s degree in Applied Mathematics, Computer Science, or a related field. Experience: 10+ years in software engineering with expertise in AI/ML. Proven track record in leading teams to deliver AI products such as IVA, chatbots, or conversational intelligence. Hands-on experience with VoIP communications and real-time AI-driven solutions. Strong foundation in end-to-end AI product development and regulatory compliance. Demonstrated ability to evaluate and implement algorithmic solutions tailored to business use cases. Technical Skills: Deep knowledge of NLP, machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Experience deploying AI systems at scale using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). Expertise in optimization techniques like vLLM, quantization, and LoRA for high-performance inferencing. Proficiency in programming languages such as Python and experience building production-grade pipelines. Preferred Skills: MLOps Expertise: Advanced knowledge of CI/CD pipelines, monitoring tools (MLflow, Airflow), and distributed training frameworks. Scalable Training Infrastructure: Hands-on experience with GPU/TPU workloads and frameworks like Horovod or DeepSpeed. Generative AI Expertise: Experience designing Retrieval-Augmented Generation (RAG) systems and fine-tuning large language models for domain-specific applications. Leadership Attributes: Strong people management and mentoring skills with a proven ability to build high-performing teams. Ability to measure team impact, set clear goals, and drive collaboration across functions. Exceptional problem-solving and decision-making skills in ambiguous, high-impact scenarios. If you re passionate about leading the development of transformative AI/ML solutions and want to make an organizational impact through innovative technologies, apply now to join our team! 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-SC1 #LI-Hybrid

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. Career Level - IC5 Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned.

Uniphore is one of the largest B2B AI-native companies decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments. Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. Job Description: About the role As a Staff AI Scientist, you will positively impact customers by utilizing machine learning (ML) applications and will contribute to the organizations success by providing technical guidance, leadership, and expertise in Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Deep Learning. Responsibilities Lead and contribute to building ASR and Speech LLM models and associated services Lead and contribute to the building and modification (fine-tuning) of pre-trained enterprise-grade LLMs and multi-modal models Conduct scientific evaluations of NLP/LLM models, innovate new techniques for model validation, evaluation, trust, and safety Apply preference optimization techniques, including reinforcement learning from human feedback (RLHF), to train and fine-tune multi-modal models, ensuring trust and safety in their deployment Engineer LLMs with the ability to seamlessly integrate with other tools and APIs Specify guidelines and design annotation processes for training and evaluation data Collaborate with the data team on data pre-processing, consumption, and automated/manual annotations Collaborate with the product team to define and refine requirements for new features and applications of AI Lead projects independently, providing mentorship and guidance to other team members Work collaboratively in a fast-paced startup environment, cross-functionally with Engineering, Product, Marketing, and Customer Solutions teams Research and assess the scientific literature for solutions to company needs, and compare prior work to internal solutions; stay up to date with larger trends in the field Published in peer-reviewed machine learning venues (e.g. NeurIPS, ICLR, ICML, EMNLP, KDD, ICASSP, InterSpeech, CVPR, AAAI etc.) Qualifications & Skills PhD plus 3 years of relevant experience or Master s degree in Computer Science, Engineering, or related fields plus minimum of 5 years relevant experience, or Bachelor s degree in Computer Science, Engineering or related experience plus a minimum of 6 years of relevant experience Minimum of 4 years of industry experience in artificial intelligence (AI), Natural Language Processing (NLP), Vision and Automatic Speech Recognition (ASR) In-depth knowledge of deep learning (DL) with expertise in PyTorch/TensorFlow In-depth understanding of Transformers, hands-on experience with the Hugging Face library, and the ability to solve NLP and ASR problems using LLMs Experience working with large datasets, addressing quality issues, and interpreting data with a focus on business goals Expertise in Python programming Hands-on experience in developing production-ready, scalable code Ability to lead projects independently and mentor and guide other team members Knowledge of deployment using environments such as: Docker, AWS, or Kubernetes Location preference: India - Bangalore, India - Chennai For more information on how Uniphore uses AI to unify and humanize every enterprise experience, please visit www.uniphore.com.

Responsibilities Maintaining and troubleshooting network systems Monitoring network performance Implementing security measures Supporting disaster recovery procedures Collaborating with IT personnel and vendors Primary Skills Expertise in Routing and Switching, OPSP, BGP. Knowledge of Data Centre technologies such as Cisco ACI, Nexus, ASR routers, and Catalyst switches. Experience with Juniper MX series WAN routers. Proficiency in Firewall technologies, including Fortinet and CISCO ASA. Secondary Skills Familiarity with Wireless technologies, specifically Cisco WLCs and Cisco Prime. Competency with tools such as Spectrum, ServiceNow, Splunk, ESAAS, and Broadcom DX NetOps. Experience with F5 Load balancers and Bluecoat Proxy. Understanding of DDI technologies like Infoblox, DNS, DHCP, and IPAM. Knowledge of Cisco ISE and TACACS. 1. The candidate will be expected to work in UK shifts. 2. Prior experience in Network Operations will be preferable.

Job Overview: We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences. Location: Hyderabad (5 Days work from office) Working Days: Sunday- Thursday Timings: 10 AM-6 PM Key Responsibilities: LLM Development & Integration: Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support. Evaluate and improve the performance of LLMs in real-world scenarios. NLP System Design: Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization. Work with large datasets to train and validate NLP models. Collaborate with cross-functional teams to identify and address language-based challenges. Speech-to-Text Implementation: Develop and optimize speech-to-text pipelines for various languages and dialects. Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality. Stay updated on the latest advancements in automatic speech recognition (ASR). Performance Optimization: Enhance AI model efficiency for scalability and real-time processing. Address biases, improve accuracy, and ensure robustness in all models. Research and Innovation: Stay abreast of the latest research in LLM, NLP, and speech technologies. Experiment with emerging techniques and integrate them into company solutions. Documentation and Collaboration: Maintain comprehensive documentation for models, processes, and systems. Collaborate with product managers, software engineers, and other stakeholders. Qualifications: Minimum 8+ years of experience required. Bachelors/Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven experience in LLM d

Experience - 4 to 7 years Excellent working knowledge of switching and routing concepts. Experience supporting network security in large-scale, geographically diverse environments. Proficient in LAN/WAN switching technologies (Port-Channels, VLANs, etc.). Strong understanding of VPN technologies, including Site-to-Site VPN and Remote Access VPN (e.g., ZScaler). Hands-on expertise and troubleshooting skills with Cisco ISR & ASR routers , Juniper routers. Hands-on expertise and troubleshooting skills with Cisco ASA Firewalls , FortiGate firewalls. Hands-on expertise and troubleshooting skills with Cisco Nexus , Arista , and Aruba switches in an ACI environment. Expertise in Firewalls (FortiGate, ASA) and Load Balancers (F5, AVI Networks). Hands-on experience with Cisco , Aruba , and Juniper switches, including knowledge of switch stacking. Expertise in wireless devices, preferably Aruba/MIST . Hands-on experience troubleshooting network-related issues using Splunk and other monitoring tools. Excellent knowledge of Arista switches and the ACI environment . Experience with incident management and change management using enterprise ticketing tools. Clear understanding of network monitoring tools. Strong understanding of STP , HSRP , VRRP , VLAN , and loop prevention protocols. Excellent working knowledge of routing protocols such as BGP , EIGRP , and OSPF . Expertise in Data Center technologies like VDC , VPC , etc. Proficient in remote support and troubleshooting of WAN environments . Experience in designing security for enterprise networks, analyzing vulnerabilities, and proposing solutions to audit findings. Ability to learn quickly and work independently. Experience in maintaining updated documentation (SOP, SLCP, CMP) and service calendars for Data Center infrastructure. Qualifications: Excellent English language communication skills . Strong problem-solving and root cause analysis skills. Motivated to learn new technologies. Ability to work in a dynamic environment . Team player with a collaborative attitude. Skills Cisco Routers,Cisco Switches,Aruba Required Skills Cisco Routers,Cisco Switches

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 Rate :- 160k Location :- pune 8-10 yrs years of experience Do Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup) Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution Conduct technology capacity planning by reviewing the current and future requirements Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable Strategize & implement disaster recovery plans and create and implement backup and recovery plans Manage the day-to-day operations of the tower Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues. Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges Develop shift roster for the team to ensure no disruption in the tower Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc. Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipro’s standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation Deliver NoPerformance ParameterMeasure1Operations of the towerSLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management2New projectsTimely delivery Avoid unauthorised changes No formal escalations Mandatory Skills: Network Data Admin. Experience5-8 Years.

Description Are you excited about developing state-of-the-art Machine Learning, Natural Language Processing, designs using large data sets to solve real world problemsDo you want to build a foundation for your career after your Bachelors or Masters or Ph D program at an industry-leading companyYou enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before Along the way, you'll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver someone who truly enables machine learning to create significant impacts you will bring statistical modeling and machine learning advancements for customer-facing solutions in complex industrial settings You will be working in a fast-paced, cross-disciplinary team who are leaders in the field You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products Basic Qualifications Currently enrolled in degree program (Bachelors or MS/ Mtech ,MCA.) Engineering ,Computer Science, Mathematics, or related field with specialization in machine learning, NLP, ASR, deep learning, computer vision, data science or related fields. working knowledge of programming languages such as Python (SciPy, RPy2, etc). Preferred Skill NLP, Python, React, Mongo Responsibilities include: Design, Develop, Maintain ReactJS WebApp