4943 Latency Jobs - Page 10

The Data Scientist is crucial in leveraging data to derive meaningful insights and solutions for complex business problems. This individual will lead and guide the data science team in developing advanced analytical models, algorithms, and statistical analyses. They will collaborate with cross-functional teams to identify opportunities for leveraging data-driven solutions, making strategic decisions, and enhancing overall business performance. The Data Scientist will be responsible for designing and implementing machine learning models, conducting data exploration, and communicating findings to non-technical stakeholders. Primary Responsibilities Collaborate with business stakeholders to understand and translate their goals into AI and data science initiatives. Lead the development and implementation of LLM-based workflows and AI agents to drive automation, personalization, and intelligent decision-making. Develop strategies to optimize budget allocation and campaign performance using AI-driven approaches in scenarios with high cardinality and uncertainty. Conduct exploratory data analysis to uncover trends and insights from large, complex data sets. Identify, evaluate, and deploy use case-specific LLMs (e. g., OpenAI, Gemini, Claude) for summarization, retrieval, semantic search, tool use, and classification. Design and implement retrieval-augmented generation (RAG) pipelines and memory-augmented AI agents. Implement Groq or similar platforms for high-performance, low-latency inference and scalable AI deployment. Communicate complex analytical and AI-driven findings in a clear, actionable manner to non-technical stakeholders. Stay abreast of the latest advancements in AI, LLMs, and agentic systems. Build AI-powered proof of concepts (PoCs) leveraging foundation models, vector databases, and orchestration frameworks. Use SQL for data exploration, feature engineering, and prompt conditioning. Required Skills Qualification in a quantitative field such as Computer Science, Artificial Intelligence, Statistics, Physics, or Mathematics. Excellent problem-solving skills and strategic thinking with a strong AI product mindset. Strong coding skills, particularly in Python. 4-6 years of relevant work experience in Data Science, with significant hands-on experience in LLM-based application development. Solid foundation in statistical analysis, experimentation, and hypothesis testing. Proficiency in Python and SQL. Preferred experience on the GCP platform. Proven experience with LLMs, including prompt engineering, fine-tuning, RAG, and evaluation. Experience identifying and scaling LLM-based use cases across business functions. Familiar with building AI agents using LangChain, LangGraph, and agentic orchestration frameworks. Experience with Groq or similar platforms for high-speed inference of LLMs. Experience with LangSmith (LLMOps) for debugging and monitoring LLM workflows. Hands-on experience with fine-tuning LLMs for domain-specific applications. Practical experience in classical machine learning techniques and working with large-scale datasets. Plus points for experience in AdTech or Meta Ads. Effective communication skills with the ability to convey technical concepts to non-technical audiences. This job was posted by Shajy Theyyamveettil from Affle.

We are looking for a skilled Data Engineer with a solid background in building and maintaining scalable data pipelines and systems. You will work closely with data analysts, engineering teams, and business stakeholders to ensure seamless data flow across platforms. Responsibilities Design, build, and optimize robust, scalable data pipelines (batch and streaming). Develop ETL/ELT processes using tools like Airflow, DBT, or custom scripts. Integrate data from various sources (e. g., APIs, S3 databases, SaaS tools). Collaborate with analytics and product teams to ensure high-quality datasets. Monitor pipeline performance and troubleshoot data quality or latency issues. Work with cloud data warehouses (e. g., Redshift, Snowflake, BigQuery). Implement data validation, error handling, and alerting for production jobs. Maintain documentation for pipelines, schemas, and data sources. Requirements 3+ years of experience in Data Engineering or similar roles. Strong in SQL and experience with data modeling and transformation. Hands-on experience with Python or Scala for scripting/data workflows. Experience working with Airflow, AWS (S3 Redshift, Lambda), or equivalent cloud tools. Knowledge of version control (Git) and CI/CD workflows. Strong problem-solving and communication skills. Good To Have Experience with DBT, Kafka, or real-time data processing. Familiarity with BI tools(e. g., Tableau, Looker, Power BI). Exposure to Docker, Kubernetes, or DevOps practices. This job was posted by Harika K from Invictus.

About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments. Responsibilities As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across diverse operational workflows. You will take ownership of the entire solution lifecycle, from problem scoping, model development, to deployment and performance monitoring, with a team of ML engineers. Lead design and deployment of computer vision models for applications like object detection, tracking, human activity analysis, and visual quality control Build and optimise image and video data pipelines, ensuring robust data flow from sensors, cameras, and other sources. Architect real-time vision systems, focusing on latency, accuracy, and scalability for edge and cloud environments. Mentor and guide junior ML engineers, fostering a culture of high technical standards and collaborative problem-solving. Stay updated with cutting-edge computer vision research, evaluating and integrating new models (e.g., ViTs, SAM, Grounding DINO) into existing workflows. Work directly with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects. Qualifications At least 5+ years of experience in Machine Learning in Computer Vision projects deployed in production, and optimising models for runtime. Proficiency in Python and proven expertise in computer vision applications like object detection, facial recognition, defect detection and tracking using libraries like PyTorch, TensorFlow, OpenCV, etc. Solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies. Previous experience in leading ML teams, mentoring engineers, and managing project deliverables. Comfortable working in an agile, startup-like environment where problem-solving and ownership are key. Excellent communication skills to translate complex technical concepts into actionable project plans. Good to Have Experience with vision-based automation in the manufacturing industry Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.

About The Opportunity We are partnering with a leading provider in the network infrastructure and telecom services sector to recruit a seasoned Network Engineer specializing in MPLS and IP/Ethernet technologies. In this on-site role based in India, you will design, deploy, and manage scalable, high-availability networks that underpin critical enterprise and service-provider operations. Join a dynamic engineering team committed to delivering optimal performance, security, and reliability. Role & Responsibilities Design, configure, and maintain MPLS VPNs, VLANs, and QoS policies across core and edge routers/switches. Implement and troubleshoot L2/L3 IP/Ethernet networks, including BGP, OSPF, and EIGRP protocols. Monitor network performance, conduct capacity planning, and optimize routing for low latency and high availability. Collaborate with cross-functional teams to deploy network solutions supporting enterprise applications and services. Perform root-cause analysis, manage network incidents, and ensure compliance with SLAs. Maintain detailed network documentation, standard operating procedures, and conduct regular network audits. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Information Technology, or related field. 3+ years of hands-on experience designing and operating MPLS networks. Proficiency with Cisco or Juniper routers and switches, including BGP, OSPF, MPLS L3VPN, and VPLS. Strong understanding of IP/Ethernet LAN/WAN technologies and QoS implementation. Preferred CCNP or CCIE certification in Service Provider or Enterprise tracks. Experience with network automation tools (Ansible, Python scripting) and monitoring platforms (SolarWinds, NetFlow, SNMP). Benefits & Culture Highlights Collaborative team environment with a relentless focus on innovation and continuous learning. Professional development support and certification sponsorship. Competitive salary package, comprehensive health benefits, and performance-based bonuses. Skills: ethernet,snmp,ansible,netflow,ospf,ip/ethernet,mpls,python scripting,network engineer,juniper routers,qos,solarwinds,network monitoring,eigrp,bgp,cisco routers,network automation,mlps

Job Description Senior Software Engineer – AWM Multi Asset Solutions Digital Advice Platform What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . Engineering, which is comprised of our Technology Division and global strategists’ groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Goldman Sachs Asset And Wealth Management Division As one of the world's leading asset managers, our mission is to help our clients achieve their investment goals. To best serve our clients' diverse and evolving needs, we have built our business to be global, broad, and deep across asset classes, geographies, and solutions. Within the Multi Asset Solutions (MAS) investing group, we seek to develop a first-in-class digital advice platform across 401(k), IRA, and brokerage accounts, to provide individuals with custom tailored investment strategies to meet their retirement objectives. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. How You Will Fulfill Your Potential Be part of a team, working closely with product development, UX designers, sales, and other engineers Write high quality, well-tested, and scalable code Evaluate the short- and long-term implications of every implementation decision Grow professionally and learn from other accomplished software engineers through pair coding while helping your peers to do the same Collaborate on critical system architecture decisions Review and provide feedback on other developers’ code and design Evaluate modern technologies, prototype innovative approaches to problems and make the business case for change Use infrastructure-as-code to build and deploy cloud-native services in AWS Requirements Experience leading and mentoring junior software engineers in a professional setting Meaningful experience in, but not limited to, any one of the following: Java, C#, Ruby on Rails, GO, Python, AWS (Amazon Web Services), JavaScript, React/Redux. Should include experience of working with non-relational as well as relational databases Experience with Data Pipelines, Data Warehouses, Snowflake is a plus Strong knowledge of data structures and algorithms Excellent object oriented or functional analysis and design skills Comfortable multi-tasking, managing multiple stakeholders, and working as part of a global team Proven communication and interpersonal ability Experience building client- and consumer-facing products is a plus, but far from required Knowledge of existing strategic firmwide platforms is a plus, but far from required About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

About The Opportunity We are partnering with a leading provider in the network infrastructure and telecom services sector to recruit a seasoned Network Engineer specializing in MPLS and IP/Ethernet technologies. In this on-site role based in India, you will design, deploy, and manage scalable, high-availability networks that underpin critical enterprise and service-provider operations. Join a dynamic engineering team committed to delivering optimal performance, security, and reliability. Role & Responsibilities Design, configure, and maintain MPLS VPNs, VLANs, and QoS policies across core and edge routers/switches. Implement and troubleshoot L2/L3 IP/Ethernet networks, including BGP, OSPF, and EIGRP protocols. Monitor network performance, conduct capacity planning, and optimize routing for low latency and high availability. Collaborate with cross-functional teams to deploy network solutions supporting enterprise applications and services. Perform root-cause analysis, manage network incidents, and ensure compliance with SLAs. Maintain detailed network documentation, standard operating procedures, and conduct regular network audits. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Information Technology, or related field. 3+ years of hands-on experience designing and operating MPLS networks. Proficiency with Cisco or Juniper routers and switches, including BGP, OSPF, MPLS L3VPN, and VPLS. Strong understanding of IP/Ethernet LAN/WAN technologies and QoS implementation. Preferred CCNP or CCIE certification in Service Provider or Enterprise tracks. Experience with network automation tools (Ansible, Python scripting) and monitoring platforms (SolarWinds, NetFlow, SNMP). Benefits & Culture Highlights Collaborative team environment with a relentless focus on innovation and continuous learning. Professional development support and certification sponsorship. Competitive salary package, comprehensive health benefits, and performance-based bonuses. Skills: ethernet,snmp,ansible,netflow,ospf,ip/ethernet,mpls,python scripting,network engineer,juniper routers,qos,solarwinds,network monitoring,eigrp,bgp,cisco routers,network automation,mlps

About the role Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business, the following provides an overview of the role’s key responsibilities and measures: Build Responsive UI screens according to the requirements/mockups defined by the Product Managers Integration of user-facing elements with server-side logic / REST API’s Ability to independently design and execute the layout of the website and individual screens. Ensure that the website is optimized for various form factors / devices. Participate in Peer Code reviews and contribute to the overall aim of a clean code. Integrate analytics for every critical user paths and constantly evaluate the end-user engagement. Take a defined problem and come up with the design / implementation with minimal guidance Have good domain knowledge and deliver with more autonomy Continuously Learn and apply technologies, techniques and methodologies that add value to the team and the overall portfolio. Fully participate in retrospectives and other team ceremonies The role expects high standard of engineering excellence with practical experience in building and maintaining internet-scale applications and services. Nurture highly effective relationships with internal business partners such as product management, technical teams, systems operations, and service and support. Comfortable working in an Agile environment Acquiring a level of design and business understanding to not compromise on business goals and design intents Willingness and ability to take up and respond to production incidents at priority and support it based on the need which will have appropriate incentives. Required Technical Skills · In depth knowledge of Javascript, css, html Deep expertise in building single page applications using JavaScript frameworks especially with React JS / RsPack . Knowledge of Micro Frontend architecture is a plus. Familiarity with TypeScript and its integration with React. Versatile with various state management techniques especially Redux . Design and implementation of low-latency, high-availability, and performant applications Experience with cross-browser, cross-platform and design constraints on the web. Experience with test automation: TDD, unit/e2e/integration/functional testing using the frameworks like ViTest / Playwright . Solid understanding of object-oriented design and programming concepts. Have a passion for quality and writing clean, solid, readable code that scales and performs well. Proficient in Git and familiarity with continuous integration. Implementation of security and data protection with basic understanding of the top 10 OWASP security vulnerabilities in web development Exceptional debugging ability and good understanding of the developer tools like Postman, Fiddler, Browser Developer Tools. Experience with front-end monitoring tools like New Relic Experience in tracking end user journeys with User Analytics tooling like Google Analytics or Adobe analytics Behavioral Elements · Flexibility, ability to plan and organise, responsiveness, creativity, self-starter · Able to build solid working relationships with peers and work across teams You will be responsible for · In depth knowledge of Javascript, css, html Deep expertise in building single page applications using JavaScript frameworks especially with React JS / RsPack . Knowledge of Micro Frontend architecture is a plus. Familiarity with TypeScript and its integration with React. Versatile with various state management techniques especially Redux . Design and implementation of low-latency, high-availability, and performant applications Experience with cross-browser, cross-platform and design constraints on the web. Experience with test automation: TDD, unit/e2e/integration/functional testing using the frameworks like ViTest / Playwright . Solid understanding of object-oriented design and programming concepts. Have a passion for quality and writing clean, solid, readable code that scales and performs well. Proficient in Git and familiarity with continuous integration. Implementation of security and data protection with basic understanding of the top 10 OWASP security vulnerabilities in web development Exceptional debugging ability and good understanding of the developer tools like Postman, Fiddler, Browser Developer Tools. Experience with front-end monitoring tools like New Relic Experience in tracking end user journeys with User Analytics tooling like Google Analytics or Adobe analytics You will need Refer about the role Whats in it for you? At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles -simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. About Us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues Tesco Technology Today, our Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India. In India, our Technology division includes teams dedicated to Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and other roles. At Tesco, our retail platform comprises a wide array of capabilities, value propositions, and products, essential for crafting exceptional retail experiences for our customers and colleagues across all channels and markets. This platform encompasses all aspects of our operations - from identifying and authenticating customers, managing products, pricing, promoting, enabling customers to discover products, facilitating payment, and ensuring delivery. By developing a comprehensive Retail Platform, we ensure that as customer touchpoints and devices evolve, we can consistently deliver seamless experiences. This adaptability allows us to respond flexibly without the need to overhaul our technology, thanks to the creation of capabilities we have built.

Job Role: Infrastructure Engineer - Backup Experience: 2-4 Years Work Location: Trivandrum Job Responsibilities: 1. Storage Deployment & Maintenance Assist in the installation, configuration, and administration of Extreme IO, Unity, Pure Storage, and Cisco Hyperflex storage systems. Monitor storage performance, availability, and utilization to ensure seamless operations. Perform basic storage troubleshooting, working with senior engineers on issue resolution. Help apply firmware updates, patches, and system upgrades for storage infrastructure. 2. Backup & Disaster Recovery Support Support data backup and recovery processes using tools like Rubrik, Druva, or Veeam. Assist in storage replication and failover testing to ensure disaster recovery readiness. Ensure adherence to data retention and backup policies. 3. Storage Performance & Optimization Help monitor and resolve storage-related latency and performance issues. Assist in storage capacity planning and recommend solutions for optimal utilization. Learn and contribute to automation scripts (PowerShell, Python, or Ansible) for routine storage tasks. 4. Security & Compliance Assist in configuring access controls and encryption for storage security. Follow data protection policies and compliance guidelines such as ISO, GDPR, and SOC. Work with security teams to integrate storage solutions into SIEM and monitoring tools. 5. Collaboration & Documentation Work closely with senior engineers, network, virtualization, and cloud teams to support business applications. Document storage configurations, troubleshooting steps, and best practices. Participate in team training and knowledge-sharing sessions to improve storage expertise. Skill Requirements: 2+ years of experience in storage infrastructure engineering or system administration. Basic experience in Extreme IO, Unity, Pure Storage, or Cisco Hyperflex. Familiarity with SAN, NAS, RAID, fiber channel, and iSCSI protocols. Basic knowledge of backup and disaster recovery solutions such as Rubrik, Druva, or Veeam. Understanding of storage performance monitoring and troubleshooting. Strong problem-solving and analytical skills. Certifications such as Dell EMC Storage, Pure Storage, or Cisco Hyperflex Certified Associate. Experience with hybrid cloud storage solutions and cloud-based storage integrations. Basic scripting skills in PowerShell, Bash, or Python for automation tasks. Exposure to ITIL processes and knowledge of IT Service Management (ITSM) best practices.

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. The Database Engineer will be actively involved in the evaluation, review, and management of databases. You will be part of a Team who supports a range of Applications and databases. You should be well versed in database administration which includes installation, performance tuning and troubleshooting. A strong candidate will be able to rapidly troubleshoot complex technical problems under pressure, implement solutions that are scalable, while managing multiple customer groups. What You’ll Do Develop and operationalize large-scale enterprise data solutions with a focus on high availability, low latency and scalability. Work closely with development and operations teams to build highly available, cost effective Database systems with extremely high uptime metrics. Execute and translate into operational excellence the database architecture roadmaps and specific plans to implement them Performance diagnosis, Performance tuning, scalability and DR goals Database version upgrades Patch testing and deployment Proactive database capacity planning Usage of new database features Data security and protection Functionality, stress, and load testing Execute major database migrations with minimal system downtime Ensure database standards are followed and implemented Database health monitoring Technical Documentation Proactively monitor production database systems, analyze find ings, formulate recommendations etc. Strong knowledge in Database concepts and fundamentals Work with cloud operations team to resolve trouble tickets, develop and run scripts, and troubleshoot Create new tools and scripts designed for auto-remediation of incidents and establishing end-to-end monitoring and alerting on all critical aspects Build infrastructure as code (IAC) patterns that meets security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK). Participate in a team of first responders 24/7, follow the sun operating model for incident and problem management. Sound Communication skills. What Experience You Need At least 2-5 years’ relevant experience as a Production Support DBA (Postgresql preferred) Experience working with cross-functional teams like Development, Operating Systems, Networking and Security. Knowledge of DB Tools & Utilities (e.g., Toad, PgAdmin, DBeaver, Export/Import etc.) Experience in Monitoring Database infrastructure metrics (e.g. uptime, availability, System resources etc) to ensure functional and performance objectives. Experience in scripting languages such as Linux Shell or Python or Go. Ability to plan work to meet project deadlines, accommodate demands by users, set priorities, organize information and escalate issues appropriately Customer service-oriented, strong problem solving skills, and the ability to understand new technologies quickly are essential Bachelor's degree in Computer Science or related technical field involving coding (e.g., Electronics, Physics or Mathematics), or equivalent job experience required. What Could Set You Apart Strong skillset on Postgresql Experience or Exposure to Public Cloud (preferred GCP or AWS) Knowledge / hands-on experience on Google BigQuery You have experience managing Infrastructure as code via tools such as Terraform or CloudFormation You are passionate for automation with a desire to eliminate toil whenever possible You have experience designing, analyzing and troubleshooting large-scale Database systems. You take a system problem-solving approach, coupled with strong professional communication skills and a sense of ownership and drive You thrive in and have experience and passion for working within a DevOps culture and as part of a team You’ve built software or maintained systems in a highly secure, regulated or compliant industry

Job Title: Senior Performance Testing Engineer / Performance Engineer Experience: 810 Years Location: Gurgaon (Onsite) Working Hours: 12:00 PM 9:00 PM IST Job Type: Full-Time Job Summary: We are seeking a highly skilled Performance Testing Engineer with 8–10 years of experience in performance engineering across complex web and mobile applications. The ideal candidate should have strong technical expertise in React.js, React Native, Node.js, Spring Boot, Java, along with deep knowledge of MongoDB, MySQL, and experience with AWS infrastructure, profiling, and monitoring tools. Key Responsibilities: Plan, design, and execute performance tests (load, stress, endurance, scalability) for frontend, backend, and database layers. Develop automated performance test scripts using tools such as JMeter, k6, Gatling, Locust, etc. Conduct Java/Node.js profiling using VisualVM, JFR, YourKit, and analyze JVM metrics (GC, heap, threads). Perform network simulation and latency analysis; troubleshoot application response issues. Monitor and optimize application performance on React, React Native, backend Node.js, Spring Boot/Java, and databases (MongoDB, MySQL). Define and track server KPIs: CPU, memory, I/O, latency, throughput, GC performance, and thread utilization.• Utilize tools like New Relic, Dynatrace, Grafana, Prometheus, ELK, or AWS CloudWatch for end-to-end monitoring. Collaborate with development, QA, DevOps, and architecture teams to recommend tuning strategies and resolve performance bottlenecks. Ensure scalable, fault-tolerant architecture design in AWS cloud environments. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 8–10 years of solid experience in performance testing, tuning, and analysis. Strong command of React.js, React Native, Node.js, Java, Spring Boot. In-depth experience with MongoDB and MySQL, including performance analysis and tuning. Proficient in scripting and automating performance tests (e.g., Bash, Python, Groovy). Sound understanding of cloud performance engineering on AWS (EC2, ELB, Auto Scaling). Ability to interpret performance results and provide actionable insights. Familiarity with CI/CD pipelines and integration of performance tests in Jenkins/GitLab. Preferred Skills: AWS Certification or Performance Engineering certifications. Experience in SaaS, microservices, or container-based (Docker/Kubernetes) ecosystems. Prior exposure to Agile environments and performance in CI/CD workflows.

Redefine the future of customer experiences. One conversation at a time. We’re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you’re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you’re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing Nextiva is seeking hands on, experienced, and visionary Engineering Manager to lead our Voice and Video Platform team, driving the engineering strategy and execution behind our cloud-native Unified Customer Experience Management platform which serves needs and has capabilities that were formerly offered with UCaaS or CCaaS products. You will guide talented software and DSP engineers who are building a global, carrier-grade platform that delivers seamless voice, video, and messaging for over 100,000+ businesses worldwide. The ideal candidate is deeply technical, passionate about real-time media and distributed systems, and skilled in fostering innovation, collaboration, and operational excellence. Key Responsibilities Team Leadership & Development: Mentor, coach, and develop a high-performing team of software and DSP engineers. Foster a culture of technical rigor, continuous learning, and shared ownership across the full software lifecycle. Technical Strategy & Execution: Define and execute technical vision for real-time voice/video services, media processing, and cloud-native microservices. Set engineering standards and drive architectural evolution in areas such as WebRTC, SIP, RTP, media gateways, and AI-powered features. Platform Reliability & Performance: Champion best practices for designing, building, and operating scalable, low-latency, and highly available communications infrastructure. Oversee efforts in end-to-end quality, resilience, and continue to offer 99.999% uptime with zero maintenance windows ensuring seamless experiences for global customers. Product Innovation: Collaborate with Product Management, AI/ML, and UX teams to deliver advanced features like AI voice agents, smart call routing, video conferencing, and speech analytics—always balancing innovation, security, and compliance. Operational Excellence: Instill DevOps principles—automation, CI/CD, observability, and on-call readiness—across teams. Drive continuous improvement through data-driven monitoring, postmortems, and proactive incident management. Cross-Functional Collaboration: Serve as a key technical liaison, working closely with SRE, Network Engineering, UCXM, and Contact Center teams. Ensure robust API/SDK exposure for clients and help resolve escalated customer issues efficiently. Knowledge Sharing & Documentation: Promote a culture of documentation, technical talks, and mentorship to share expertise both within and beyond your teams. Stay current on real-time communications trends and foster adoption of emerging technologies. Qualifications Education: Bachelor’s in Computer Science, Engineering, or related field required; Master’s in networking or distributed systems is a plus. Equivalent experience in real-time communications also considered. Experience: 8+ years of software development experience, including 3+ years in a technical leadership or management role. substantial experience building and deploying VoIP, video, or real-time communication systems. Real -Time Communications Expertise: Experience developing VoIP or real-time communication systems. Strong knowledge of SIP protocol, WebRTC, and related networking (RTP, NAT traversal). Proven ability to implement call logic and troubleshoot signaling and media issues. Deep understanding of signaling flows, SDP, ICE, STUN/TURN, and DTLS-SRTP. Understanding of open source frameworks like Free Switch and/or Asterisk is necessary. Audio/DSP Expertise: Hands-on experience with audio processing in real time. Familiarity with noise reduction, echo cancellation, jitter buffers, and other voice QoS techniques. Comfort optimizing or using audio codecs (Opus, EVS, etc.) and improving call quality under varying network conditions. Technical Expertise: Proficient in C/C++ with multithreading and performance tuning. Experience with Go/Java for microservices and control logic and Python/Bash for automation is a plus. Networking & Protocols: Strong grasp of TCP/UDP, TLS, DNS, and media codecs (Opus, G.729, H.264). Familiarity with SIP proxies, media servers, PBX systems, and PSTN integration is valuable. Scalability & Reliability: Experience building distributed, fault-tolerant systems using cloud platforms (AWS/GCP/Azure), Docker, and Kubernetes. Skilled in designing for high availability and active-active failover. Cloud & Scalability: Experience building and deploying services in a cloud-native environment (Docker, Kubernetes). Knowledge of designing scalable microservices and using cloud infrastructure (AWS, GCP, or Azure) for load balancing, monitoring, and fault tolerance. Voice AI Familiarity: Exposure to integrating speech recognition and text-to-speech in applications. You’ve perhaps worked with voice assistants, IVR systems, or call center AI – you understand basic latency/accuracy trade-offs and how to interface with speech APIs/SDKs. Leadership Skills: Demonstrated ability to lead high-performing engineering teams through the complete software development lifecycle in fast-paced, Agile environments. Strong project management, communication, and stakeholder engagement skills. Operational Mindset: Experienced with DevOps practices, CI/CD pipelines, and a “you build it, you own it” philosophy. Track record implementing security, compliance, and privacy best practices (HIPAA, GDPR, PCI) in communication platforms. Comfort leading incident response and managing on-call rotations for production services. Preferred Experience in telecom, UCaaS, CCaaS, or contact center technology domains. Contributions to open-source real-time communications projects. Familiarity with integrating AI/ML in voice/video applications. Relevant certifications (AWS, CCNP, voice technology, etc.). Why Join Nextiva’s UCXM Platform Leadership? Shape the Future: Drive transformative communication experiences for global businesses and millions of users. Complex, Impactful Challenges: Lead teams solving at-scale, real-time distributed systems problems—delivering carrier-grade reliability, low latency, and high fidelity. Modern Tech Stack: Work with state-of-the-art tools and infrastructure (Kubernetes, microservices, AI/ML, real-time media) and champion zero-downtime deployment practices. Culture of Growth: Join a supportive, innovative organization that values technical excellence, diversity, and continuous improvement. Nextiva DNA (Core Competencies) Nextiva’s most successful team members share common traits and behaviors: Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success. Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking, and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies. Right Attitude: They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's 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, we're 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.

Job Description: The Cloud Azure Network and Security Engineer is a pivotal role in the IT organization, responsible for architecting, implementing, and maintaining complex cloud environments that support the company's critical applications and services. As a Cloud Network and Security Engineer, you will be responsible for designing, implementing, and managing network infrastructure within AWS and Azure public cloud environments (primarily Azure) including on-prem DC to cloud connectivity, multi-cloud connectivity and intra-cloud connectivity . You will also be responsible for design and implementation of cloud based security controls . Your expertise will be pivotal in ensuring the reliability, scalability, and security of our cloud-based networks. You will work closely with cross-functional teams to optimize cloud network performance and troubleshoot complex issues. Key Responsibilities: Network Design & Implementation: Design and implement scalable and secure network architectures in Azure public cloud environments. Ensure integration with existing on-premises networks and cloud services. Configuration & Management: Configure and manage virtual networks, subnets, VPNs, load balancers, and firewall s , routing, etc. within Azure. Implement network segmentation and security controls to protect data and applications. Performance Optimization: Monitor network performance and troubleshoot issues to maintain high availability and reliability. Optimize network configurations to enhance performance and reduce latency. Security & Compliance: Implement and manage security policies and practices to protect cloud-based network resources. Ensure compliance with industry standards and company policies. Automation & Scripting: Develop and maintain automation scripts using tools like Terraform, Azure Resource Manager or other tools to streamline network provisioning and management tasks. Collaboration: Work closely with operations teams, application developers, and system administrators to support and troubleshoot network-related issues. Provide guidance on best practices for cloud network architecture and operations. Documentation & Reporting: Create and maintain detailed documentation for network configurations, processes, and procedures. Generate reports on network performance, incidents, and resolutions. Qualifications: Education: Bachelor’s degree in Computer Science , Network Engineering, Information Technology, or a related field, or equivalent work experience. Experience: Minimum of 5-7 years of experience in network engineering with a focus on cloud environments (AWS and Azure). Certifications: Relevant certifications such as Microsoft Certified: Azure Network Engineer Associate, or similar are highly desirable. Skills: Strong understanding and hands on experience with public cloud networking concepts and services (multi-tier networks, VNet , VPC, VPN, Azure Virtual Network, ExpressRoute, transit gateways, VPC Peering, VPN Gateways, DNS/Route53, Load Balancing, NAT, etc ). Proficiency in network protocols and services (TCP/IP, BGP, DNS, DHCP, HTTP/HTTPS). Experience with NiST security framework and implementation of security policies and controls. Experience with network monitoring and diagnostic tools. Knowledge of network security practices and tools (firewalls, IDS/IPS, encryption). Deep experience with network design within a public cloud environment with a strong focus on perimeter security. Familiarity with automation tools and frameworks (Terraform, AWS CloudFormation, Azure Resource Manager). Excellent problem-solving skills and the ability to troubleshoot complex network issues. Strong communication skills with the ability to work collaboratively in a team environment. Preferred Qualifications: Hands-on experience with setting up DR environments in multi-region scenarios. At CDK, we believe inclusion and diversity are essential in inspiring meaningful connections to our people, customers and communities. We are open, curious and encourage different views, so that everyone can be their best selves and make an impact. CDK is an Equal Opportunity Employer committed to creating an inclusive workforce where everyone is valued. Qualified applicants will receive consideration for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, creed or religion, age, disability (including pregnancy), results of genetic testing, service in the military, veteran status or any other category protected by law. Applicants for employment in the US must be authorized to work in the US. CDK may offer employer visa sponsorship to applicants.

Hyderabad, India Who we are Kinara is a Bay Area-based venture backed company. Our architecture is based on research done at Stanford University by Rehan Hameed and Wajahat Qadeer under the guidance of legendary Prof. Mark Horowitz (http://www-vlsi.stanford.edu/~horowitz/) and Prof. Christos Kozyrakis (http://csl.stanford.edu/~christos/). What we do Our game-changing AI solutions revolutionize what people and businesses can achieve. Ara inference processors combined with our SDK deliver unrivalled deep learning performance at the edge to accelerate and optimize real-time decision making where every millisecond is critical, and power efficiency is a must. Kinara solutions embed high- performance AI into edge devices to create a smarter, safer, and more enjoyable world. Edge AI is on the brink of a boom, and Kinara is looking forward to playing a significant role in it. Job Summary We are seeking an experienced developers for our kernel development team focused on building and optimizing AI/ML operators using our specialised Instruction Set Architecture (ISA). In this role, you will be responsible for design, development, and performance tuning of core kernel components that directly influence the efficiency and reliability of AI/ML workloads on our custom hardware. You will work closely with compiler teams, hardware architects, and application developers to deliver an operator that maximizes performance while meeting stringent accuracy and latency requirements. Key Responsibilities Design and development of core kernel modules, optimized for both performance and energy efficiency under AI/ML workloads. Design and development of advanced performance profiling/optimization and debugging tools to ensure low latency. Analyse kernel performance, identify bottlenecks, and implement optimizations at the software and feedback to the hardware for next generation improvements. Ensure to follow and propose industry best practices for code quality, performance testing, and validation of kernels. Collaborate with hardware architects, compiler teams to align the kernel design with the underlying ISA capabilities and seamless integration of AIML models. Stay current on emerging trends in ISA design, low-level programming, and AI/ML hardware acceleration. Ensure that documentation of the kernel components is made. Necessary Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or a related field. Work experience in C/C++ is required and python is plus. 3+ years of industry experience in kernel or low-level system software development, with a strong background in optimizing performance for specialized hardware. Appropriate understanding of assembly language, computer architecture, ISA design/Development, and related performance optimization techniques. Demonstrated experience in using debugging and performance profiling tools (e.g., kernel debuggers, profilers, trace analyzers). Experience with developing AI/ML operators or accelerators in hardware-software co-design environments, is a plus. Experience of relevant industry standards and emerging trends in AI hardware acceleration is a plus. What We Offer An opportunity to lead innovative kernel development projects at the cutting-edge intersection of AI/ML and custom ISA design. A collaborative, dynamic work environment with access to state-of-the-art technology and methodologies. Competitive compensation, comprehensive benefits, and significant opportunities for professional growth and impact. Work culture We at Kinara have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do, where every point of view is valued. Join us!

Company Description Entain India is the engineering and delivery powerhouse for Entain, one of the world’s leading global sports and gaming groups. Established in Hyderabad in 2001, we’ve grown from a small tech hub into a dynamic force, delivering cutting-edge software solutions and support services that power billions of transactions for millions of users worldwide. Our focus on quality at scale drives us to create innovative technology that supports Entain’s mission to lead the change in global sports and gaming sector. At Entain India, we make the impossible possible, together. Job Description We are seeking a talented and motivated SRE Engineer III to join our dynamic team. In this role, you will execute a range of site reliability activities, ensuring optimal service performance, reliability, and availability. You will collaborate with cross-functional engineering teams to develop scalable, fault-tolerant, and cost-effective cloud services. If you are passionate about site reliability engineering and ready to make a significant impact, we would love to hear from you! Key Responsibilities: Lead team of SRE Engineers Implement automation tools, frameworks, and CI/CD pipelines, promoting best practices and code reusability. Enhance site reliability through process automation, reducing mean time to detection, resolution, and repair. Identify and manage risks through regular assessments and proactive mitigation strategies. Develop and troubleshoot large-scale distributed systems in both on-prem and cloud environments. Deliver infrastructure as code to improve service availability, scalability, latency, and efficiency. Monitor support processing for early detection of issues and share knowledge on emerging site reliability trends. Analyze data to identify improvement areas and optimize system performance through scale testing. Take ownership of production issues within assigned domains, performing initial triage and collaborating closely with engineering teams to ensure timely resolution. Qualifications For Site Reliability Engineering (SRE) , key skills and tools are essential for maintaining system reliability, scalability, and efficiency. Given your expertise in observability, compliance, and platform stability , here’s a structured breakdown: Key SRE Skills Infrastructure as Code (IaC) – Automating provisioning with Terraform, Ansible, or Kubernetes. Observability & Monitoring – Implementing distributed tracing, logging, and metrics for proactive issue detection. Security & Compliance – Ensuring privileged access controls, audit logging, and encryption . Incident Management & MTTR Optimization – Reducing downtime with automated recovery mechanisms . Performance Engineering – Optimizing API latency, P99 response times, and resource utilization . Dependency Management – Ensuring resilience in microservices with circuit breakers and retries. CI/CD & Release Engineering – Automating deployments while maintaining rollback strategies . Capacity Planning & Scalability – Forecasting traffic patterns and optimizing resource allocation. Chaos Engineering – Validating system robustness through fault injection testing . Cross-Team Collaboration – Aligning SRE practices with DevOps, security, and compliance teams . Essential SRE Tools Monitoring & Observability : Datadog, Prometheus, Grafana, New Relic. Incident Response : PagerDuty, OpsGenie. Configuration & Automation : Terraform, Ansible, Puppet. CI/CD Pipelines : Jenkins, GitHub Actions, ArgoCD. Logging & Tracing : ELK Stack, OpenTelemetry, Jaeger. Security & Compliance : Vault, AWS IAM, Snyk. Additional Information We know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Working for us in India, you can expect to receive great benefits like: Safe home pickup and home drop (Hyderabad Office Only) Group Mediclaim policy Group Critical Illness policy Communication & Relocation allowance Annual Health check And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves. At Entain India, we do what’s right. It’s one of our core values and that’s why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, across any protected characteristic, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world. About the Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Senior AI Engineer who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. A Day in the Life Design and build scalable AI platform architecture to support ML development, agentic frameworks, and robust self-serve AI pipelines. Develop agentic frameworks and a catalog of AI agents tailored to healthcare use cases. Design and deploy high-performance, low-latency AI applications. Build and optimize ML/DL models, including generative models like Transformers and GANs. Construct and manage data ingestion and transformation pipelines for scalable AI solutions. Conduct experiments, and statistical analysis, and derive insights to guide development. Collaborate with data scientists, engineers, product managers, and business stakeholders to translate AI innovations into real-world applications. Partner with business leaders and clients to understand pain points and co-create scalable AI-driven solutions. What You Need Master’s in Computer Science, Engineering, or a related field. 1-3 years of software engineering experience with strong API development skills. 1+ years of experience in data science and at least 1+ year in building generative AI pipelines, agents, and RAG systems. Strong Python programming skills with enterprise application development and optimization. Experience with: o LLMs, prompt engineering, and fine-tuning SLMs. o Frameworks like LangChain, CrewAI, or Autogen (at least one is a must). o Vector databases (e.g., FAISS, ChromaDB). o Embedding models and Retrieval-Augmented Generation (RAG) design.  Familiarity with at least one ML platform (Databricks, Azure ML, SageMaker). Bonus: Experience with Docker, Kubernetes, AWS/Azure, Snowflake, and healthcare data systems Preferred Skills Python – building scalable, performant AI applications. Experience with reinforcement learning and multi-agent systems.  LLM optimization and deployment at scale. Familiarity with healthcare data and AI use cases. We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave : Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Care Program: Whether it’s a celebration or a time of need, we’ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need. Financial Assistance: Life happens, and when it does, we’re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most. Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer’s EHR-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, and innovaccer.com.

Preferable for Visakhapatnam/Vizag candidates 2-4 years of hands-on AI/ML/DL experience Dynamic, GO Getter, Idiotic Thinking & Realisation, Tech Savvy, Passionate is what we are looking from this person and need to have regular updates along with latest developments in AI/ML Space. You will be the SPOC for all the valuable data extraction from given data, processes from data collection, cleaning, pre-processing, to training models and deploying them to production. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, personnel so that deadlines are met Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Technical Stack AI, ML, Python Deep learning framework such as TensorFlow or Keras Python and basic libraries for machine learning such as scikit-learn and pandas Visualizing and manipulating big datasets Select hardware to run an ML model with the required latency What You Need Basic coding & programming Cloud Technologies – AWS or Azure or Salesforce Artificial Intelligence Machine Learning Deep Learning Python Job Type: Full-time Pay: ₹54,000.00 - ₹240,000.00 per year Schedule: Morning shift Supplemental Pay: Performance bonus Ability to commute/relocate: Vishakhapatnam, Visakhapatnam - 530003, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required) Experience: real time: 2 years (Preferred) Artificial Intelligence: 2 years (Preferred) Expected Start Date: 30/07/2025

Responsibilities: Architect, build, and maintain Kafka producers and consumers , including Kafka Streams and Connect pipelines for real-time streaming systems. Develop Java (Java 8+) microservices using Spring Boot , working with REST APIs and backend services . Operate and configure Kafka clusters —topics, partitions, brokers, ZooKeeper/KRaft, Schema Registry. Troubleshoot messaging issues, optimize throughput and latency, and ensure high availability and security. Work with SQL (e.g. MySQL/Postgres) and NoSQL databases (e.g. MongoDB) for backend integration. Integrate microservices and message pipelines within Docker , Kubernetes/ECS , and CI/CD environments. Eligility: 5–8 years hands-on experience in Java-based application development Strong expertise with Apache Kafka —producers, consumers, stream processing, configuration and administration. Solid experience building Spring Boot microservices and RESTful APIs. Proficiency in SQL and NoSQL databases (e.g. Oracle, MySQL, MongoDB). Familiarity with Kafka ecosystem components: Connect, Streams, Schema Registry. Linux/Unix proficiency and shell scripting experience. Experience with containerization (Docker), orchestration tools (Kubernetes, ECS). Familiarity with CI/CD tools (Jenkins, GitLab CI, Azure DevOps). Strong communication, analytical, and problem-solving skills

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Company Description: McDonald’s new growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts, we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive Thrus, through McDelivery, dine-in or takeaway. Leading this revolution is McDonald’s Global Technology organization made up of intrapreneurs who get to build really cool tech with scary smart people using the latest innovations like AI, IOT, and edge computing. We do this working along diverse, global teams who are always hungry for a challenge. It’s bonus points when you get to see your family and friends use the tech you build at their favorite McD restaurant. Job Description: This opportunity is part of the Global Technology Enterprise Products & Platforms (EPP) Team, focused on Enterprise Performance Management (EPM) solution, Financial Consolidation and Close (FCCS) product area, where our vision is to “Always be a... people led, product centric, forward-thinking & trusted technology partner”. The Senior Technical Analyst supports the Technical Product Management leadership in technical / IT related delivery topics (e.g., trade-offs in implementation approaches, tech stack selection) and provides technical guidance for developers / squad members. Manages the output (quality and efficiency) of internal/external squads to ensure they are delivering to the standards required by McD. Participate in roadmap and backlog preparation. Builds and maintains technical process flows and solution architecture diagrams on Product level. Leads acceptance criteria creation and validation of development work. Supports hiring and development of engineers. Will also act as a technical developer to assist the development team. This position reports to the Technical Product Manager. Responsibilities & Accountabilities: Product roadmap and backlog preparation: In partnership with the TPM, participate in roadmap and backlog prioritization, providing technical perspectives towards translating Epic into user stories for the Develop team to work on, as well as backlog refinement processes. Analyze existing business processes, workflows, and systems to identify inefficiencies, bottlenecks, and opportunities for improvement. Build and update documents required as part of the product development lifecycle, in close coordination with product, technical and business teams (business & functional requirements for feature development, functional test scripts, and process documents). Create detailed requirements documents, user stories, use cases, and acceptance criteria to guide the development and implementation of technology solutions. Ensure that requirements are clear, comprehensive, and aligned with business goals. Agile ceremonies: Attend all product team ceremonies and act as leader of the Software Development Engineers Technical solutioning and feature development / releases: Works with boundary and integration systems to troubleshoot and mitigate any source / destination issues and requirements. Work and support with Business Users and Product Teams on Incident Management/Request Management / Problem Management / Change Management and Knowledge Management. Analyze Patches and plan patch deployment activities. Review and prioritize defects impacting customers. Serve as a point-person for product questions and be able to dig deep into problems to help find a solution. Working on market requirements, designing solutions, assessing technical issues and working on resolutions with Team. Collaborate with other technology teams including internal teams, service providers and vendors. Ensure application service levels are maintained as per agreed standards. Accountable for the deployment of new features including QA, push to production and defect remediation. Ensure code development is in line with the architectural, quality and security standards and best practices. Maintain documentation standards for all software and lead acceptance criteria validation of development work. Ensure product delivery is done to a high standard with high performance across latency and scalability, extensibility, and security. Qualifications: Basic Qualifications: Bachelor’s degree in computer science or engineering. 5+ years of EPM/FCCS technical analyst experience. Knowledge of Agile software development process including application of Agile techniques and delivery practices and promoting adoption of Agile methodologies to secure outcome-driven mindset in product teams. Experience working collaboratively with business partners to drive outcomes and solve complex technical challenges Excellent interpersonal, written, and verbal communication skills with the ability to understand business requirements and translate them into technical roadmaps. Ability to grasp technical concepts quickly, solid ability to translate technical verbiage into easily understandable language. Solid grasp of the software development lifecycle and Agile development practices Ability to contribute as a hands -on technologist when the need arises (e.g. writing and debugging scripts, setting up GitHub repos, troubleshooting issues with servers and prototypes). Experience applying data to make informed business decisions, and facilitate continuous improvement Positive thinking skills that include creating a safe environment to learn, challenge, accept risk taking and a willingness to be wrong Experienced testing background with a high attention to detail is desirable. Preferred Qualifications: Experience in Implementation of EPM cloud with strong Application Development process, experience on FCCS and good knowledge on consolidation process. Desired functional knowledge (Understand of Income statement, Balance Sheet, different methods of consolidation and their calculations and disclosure in financial statements) is required Sound functional knowledge Finance / accounting / General Ledger / Sub Ledgers Sound Knowledge on Financial Reports and SmartView Reports Additional experience with Oracle Enterprise Planning and Budgeting Cloud Service (EPBCS)/ Enterprise Data Management (EDM) cloud service is a plus. Hands-on knowledge of scripting (Batch / Python / PowerShell) Oracle Technical certifications preferred. Strong technical debugging skills Proficiency in SQL, data integration tools, and scripting languages. Experience in Creating and maintaining detailed requirements, technical documentation, including architecture diagrams, configuration guides, and user manuals. Strong analytical skills and the ability to solve complex Business challenges related to lease and financial integration. Excellent communication and stakeholder management skills, with the ability to engage both business and IT teams. Experience working in product-centric organizations and/or product owner certification. Experience with JIRA and Confluence tools. Experience in implementing and managing IT General Controls (ITGC) to ensure SOX compliance. Experience in DevOps, Security and Systems Performance desirable. Foundational expertise in security: security standards, SSO, SAML, OAUTH, etc. Understanding of Cloud architecture and Oracle cloud security. Experience with cybersecurity experts to ensure that systems are resilient against cyber threats and comply with relevant regulations and standards is desirable. Experience with Workiva is a plus.

Job Description: AI Engineer - Generative AI Company:- Focalworks Solutions Pvt Ltd. Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer A competitive salary and performance bonus. Comprehensive health insurance. Flexible working hours and a hybrid work model. A budget for professional development, conferences, and certifications. The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to rahul.narwade@focalworks.in , with the subject line " Application for AI Engineer ".

Job Description: AI Engineer - Generative AI Company: Focalworks Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) ● Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. ● Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. ● Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. ● Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. ● Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. ● Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. ● Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals ● Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. ● Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . ● Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. ● Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. ● API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency ● Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. ● Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. ● Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). ● Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. ● Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills ● Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. ● Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer ● A competitive salary and performance bonus. ● Comprehensive health insurance. ● Flexible working hours and a hybrid work model. ● A budget for professional development, conferences, and certifications. ● The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to careers@focalworks.in , with the subject line " Application for AI Engineer ". Linkedin Connect/Mail We are glad that to inform you that we have a job opening for the position of “ AI Engineer - Generative AI ” for our company location Vashi ,Navi Mumbai, Below is the details for the same. Company: Focalworks Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) ● Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. ● Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. ● Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. ● Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. ● Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. ● Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. ● Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals ● Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. ● Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . ● Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. ● Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. ● API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency ● Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. ● Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. ● Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). ● Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. ● Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills ● Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. ● Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer ● A competitive salary and performance bonus. ● Comprehensive health insurance. ● Flexible working hours and a hybrid work model. ● A budget for professional development, conferences, and certifications. ● The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. If interested you can share your Updated resume at Rahul.narwade@focalworks.in with below required job opening:_ Total Yrs of Experience Relevant Yrs of experience AI Engineer :__ ; Python__YRS ; NumPy:__YRS, Pandas__YRS ; LLMs Frameworks:__YRS ; LangChain:-___YRS or LlamaIndex :-__YRS what is the current CTC:___LPA What is Expected CTC:-__LPA Notice Period:_-___ Reason for change:- Current Location:- Available to work at our office location(Vashi Navi Mumbai location):- __ How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to careers@focalworks.in , with the subject line " Application for AI Engineer ". Job Type: Full-time Pay: ₹1,200,000.00 - ₹4,000,000.00 per year Schedule: Day shift Work Location: In person

Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : 5G Wireless Networks & Technologies Good to have skills : Software Defined Network and Operations Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Job Title: 5G Core Network Ops SME Summary: We are seeking a skilled 5G Core Network SME to join our team. The ideal candidate will have extensive experience with Nokia 5G Core platforms and will be responsible for fault handling, troubleshooting, session and service investigation, configuration review, performance monitoring, security support, change management, and escalation coordination. Roles and Responsibilities: 1. Fault Handling & Troubleshooting: Provide Level 2 (L2) support for 5G Core SA network functions in production environment. Analyze alarms from NetAct/Mantaray, or external monitoring tools. Correlate events using Netscout, Mantaray, and PM/CM data. Troubleshoot and resolve complex issues related to registration, session management, mobility, policy, charging, DNS, IPSec and Handover issues. Handle node-level failures (AMF/SMF/UPF/NRF/UDM/UDR/SDL/PCF/CHF/Flowone, Nokia EDR restarts, crashes, overload). Handle troubleshooting on 5G Core Database, UDM, UDR, SDL, Provisioning, Flowone, CHF(Charging), PCF(Policy). Perform packet tracing (Wireshark) or core trace (PCAP, logs) and Nokia PCMD trace capturing and analysis. Perform root cause analysis (RCA) and implement corrective actions. Handle escalations from Tier-1 support and provide timely resolution. 2. Session & Service Investigation: Trace subscriber issues (5G attach, PDU session, QoS). Use tools like EDR, Flow Tracer, Nokia Cloud Operations Manager (COM). Correlate user-plane drops, abnormal release, bearer QoS mismatch. Work on Preventive measures with L1 team for health check & backup. 3. Configuration and Change Management: Create a MOP for required changes, validate MOP with Ops teams, stakeholders before rollout/implementation. Maintain detailed documentation of network configurations, incident reports, and operational procedures. Support software upgrades, patch management, and configuration changes. Maintain documentation for known issues, troubleshooting guides, and standard operating procedures (SOPs). Audit NRF/PCF/UDM etc configuration & Database. Validate policy rules, slicing parameters, and DNN/APN settings. Support integration of new 5G Core nodes and features into the live network. 4. Performance Monitoring: Use KPI dashboards (NetAct/NetScout) to monitor 5G Core KPIs e.g registration success rate, PDU session setup success, latency, throughput, user-plane utilization. Proactively detect degrading KPIs trends. 5. Security & Access Support: Application support for Nokia EDR and CrowdStrike. Assist with certificate renewal, firewall/NAT issues, and access failures. 6. Escalation & Coordination: Escalate unresolved issues to L3 teams, TAC, OSS/Core engineering. Work with L3 and care team for issue resolution. Ensure compliance with SLAs and contribute to continuous service improvement. 7. Reporting Generate daily/weekly/monthly reports on network performance, incident trends, and SLA compliance. Technical Skills and Professional Attributes: 12–18 years of experience in Telecom industry with hands on experience in 5G Core. Mandatory experience with Nokia 5G Core-SA platform. Solid understanding for 5G Core Packet Core Network Protocol such as N1, N2, N3, N6, N7, N8, 5G Core interfaces, GTP-C/U, HTTPS and including ability to trace, debug the issues. Hands-on experience with 5GC components: AMF, SMF, UPF, NRF, AUSF, NSSF, UDM, PCF, CHF, UDR, SDL, Nokia EDR, Provisioning and Flowone. Troubleshooting and configuration hands on experience on 5G Core Database, UDM, UDR, SDL, Provisioning, Flowone, CHF(Charging), PCF(Policy). In-depth understanding of 3GPP call flows for 5G-SA, 5G NSA, Call routing, number analysis, system configuration, call flow, Data roaming, configuration and knowledge of Telecom standards e.g. 3GPP, ITU-T and ANSI. Familiarity with policy control mechanisms, QoS enforcement, and charging models (event-based, session-based). Hands-on experience with Diameter, HTTP/2, REST APIs, and SBI interfaces. Strong analytical and troubleshooting skills. Proficiency in monitoring and tracing tools (NetAct, NetScout, PCMD tracing). And log management systems (e.g., Prometheus, Grafana). Knowledge of network protocols and security (TLS, IPsec). Excellent communication and documentation skills. Educational Qualification: BE / BTech 15 Years Full Time Education Additional Information: Nokia certifications (e.g., NCOM, NCS, NSP, Kubernetes). Experience in Nokia Platform 5G Core, NCOM, NCS, Nokia Private cloud and Public Cloud (AWS preferred), cloud-native environments (Kubernetes, Docker, CI/CD pipelines). Cloud Certifications (AWS)/ Experience on AWS Cloud

Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : 5G Wireless Networks & Technologies Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Job Title: 5G Core Network Ops Specialist Summary: We are seeking a skilled 5G Core Network Specialist to join our team. The ideal candidate will have extensive experience with Nokia 5G Core platforms and will be responsible for fault handling, troubleshooting, session and service investigation, configuration review, performance monitoring, security support, change management, and escalation coordination. Roles and Responsibilities: 1. Fault Handling & Troubleshooting: Provide Level 2 (L2) support for 5G Core SA network functions in production environment. Analyze alarms from NetAct/Mantaray, or external monitoring tools. Correlate events using Netscout, Mantaray, and PM/CM data. Troubleshoot and resolve complex issues related to registration, session management, mobility, policy, charging, DNS, IPSec and Handover issues. Handle node-level failures (AMF/SMF/UPF/NRF/UDM/UDR/SDL/PCF/CHF/Flowone, Nokia EDR restarts, crashes, overload). Handle troubleshooting on 5G Core Database, UDM, UDR, SDL, Provisioning, Flowone, CHF(Charging), PCF(Policy). Perform packet tracing (Wireshark) or core trace (PCAP, logs) and Nokia PCMD trace capturing and analysis. Perform root cause analysis (RCA) and implement corrective actions. Handle escalations from Tier-1 support and provide timely resolution. 2. Session & Service Investigation: Trace subscriber issues (5G attach, PDU session, QoS). Use tools like EDR, Flow Tracer, Nokia Cloud Operations Manager (COM). Correlate user-plane drops, abnormal release, bearer QoS mismatch. Work on Preventive measures with L1 team for health check & backup. 3. Configuration and Change Management: Create a MOP for required changes, validate MOP with Ops teams, stakeholders before rollout/implementation. Maintain detailed documentation of network configurations, incident reports, and operational procedures. Support software upgrades, patch management, and configuration changes. Maintain documentation for known issues, troubleshooting guides, and standard operating procedures (SOPs). Audit NRF/PCF/UDM etc configuration & Database. Validate policy rules, slicing parameters, and DNN/APN settings. Support integration of new 5G Core nodes and features into the live network. 4. Performance Monitoring: Use KPI dashboards (NetAct/NetScout) to monitor 5G Core KPIs e.g registration success rate, PDU session setup success, latency, throughput, user-plane utilization. Proactively detect degrading KPIs trends. 5. Security & Access Support: Application support for Nokia EDR and CrowdStrike. Assist with certificate renewal, firewall/NAT issues, and access failures. 6. Escalation & Coordination: Escalate unresolved issues to L3 teams, TAC, OSS/Core engineering. Work with L3 and care team for issue resolution. Ensure compliance with SLAs and contribute to continuous service improvement. 7. Reporting Generate daily/weekly/monthly reports on network performance, incident trends, and SLA compliance. Technical Experience and Professional Attributes: 8–12 years of experience in Telecom industry with hands on experience in 5G Core. Mandatory experience with Nokia 5G Core-SA platform. Solid understanding for 5G Core Packet Core Network Protocol such as N1, N2, N3, N6, N7, N8, 5G Core interfaces, GTP-C/U, HTTPS and including ability to trace, debug the issues. Hands-on experience with 5GC components: AMF, SMF, UPF, NRF, AUSF, NSSF, UDM, PCF, CHF, UDR, SDL, Nokia EDR, Provisioning and Flowone. Troubleshooting and configuration hands on experience on 5G Core Database, UDM, UDR, SDL, Provisioning, Flowone, CHF(Charging), PCF(Policy). In-depth understanding of 3GPP call flows for 5G-SA, 5G NSA, Call routing, number analysis, system configuration, call flow, Data roaming, configuration and knowledge of Telecom standards e.g. 3GPP, ITU-T and ANSI. Familiarity with policy control mechanisms, QoS enforcement, and charging models (event-based, session-based). Hands-on experience with Diameter, HTTP/2, REST APIs, and SBI interfaces. Strong analytical and troubleshooting skills. Proficiency in monitoring and tracing tools (NetAct, NetScout, PCMD tracing). And log management systems (e.g., Prometheus, Grafana). Knowledge of network protocols and security (TLS, IPsec). Excellent communication and documentation skills. Educational Qualification: BE / BTech 15 Years Full Time Education Additional Information: Nokia certifications (e.g., NCOM, NCS, NSP, Kubernetes). Experience in Nokia Platform 5G Core, NCOM, NCS, Nokia Private cloud and Public Cloud (AWS preferred), cloud-native environments (Kubernetes, Docker, CI/CD pipelines). Cloud Certifications (AWS)/ Experience on AWS Cloud

JD Software Developer (ReactJS) About the job UnboundB2B is recruiting for the role of Frontend developer working on managing our Website & CRM and ensuring a seamless interchange of data between the server and our users. As a front-end developer, you will be responsible for developing responsive code. You will be working with a small development team, coordinating with all departments at UnboundB2B. This full-time role is open for an immediate start date and we require an experienced Front-end developer who will be able to deliver on their responsibilities to help our business keep growing. If you are hard-work ing, dedicated, respectful, innovative, and desire results is an ideal place to get ahead. Apply now. Responsibilities: • Own end-to-end development and operations of high-performance web and mobile applications. • Architecting and scaling engineering platforms to reduce technical debts and improve performance and agility. • Foster a culture of innovation and fast execution, leading by example and hands-on execution. • Build best-in-class web platforms for solving and enhancing marketplace dynamicity. • Interface with business to define requirements and deliverables and provide the necessary engi neering expertise & support to ensure on-time delivery of products. • Be the technical owner for a set of products that includes a proprietary web application written in any JS framework, various automated reporting & administrative facilities, frontend applications (mobile & web), and data-related engineering initiatives. • Continue to develop and improve delivery processes. • Commit to fostering a quality-focused development culture while leading and managing a team of engineers and QA Lead the talent management effort for Technology, including hiring, developing, training, and retaining a best-in-class team. Requirements • Should be a hands-on technology person with an eye for details and scale. • Ability to Multi-Task in an ambiguous and very dynamic start-up environment. • Should have excellent prioritization and project management skills. • Experience working in a variety of agile frameworks and project tools (e. g. JIRA, confluence). • Expert knowledge of languages (React. JS) and web technologies (e. g. JavaScript, CSS, HTML). • Must have experience in developing applications using multiple stacks. • Must have experienced scale in building web applications and SOA (micro services) based large scale setups. • Proven experience in architecture, design, and delivery of data-intensive applications. • Experience with modern web UI frameworks (e. g. React). • Experience leading a QA / testing function and developing automation techniques to improve ongo ing quality of delivery. • Experience in building high throughput, low latency web services over Strings and Binary Protocols. • Expert-level knowledge of Client Browser to CDN to Load Balancer to Web Application Server. • Experience with architecting systems for AWS is a plus. • Experience with web paradigms such as REST, Responsive Web Design, and Test-driven. • Test-Driven Development (TDD), Dependency Injection, etc. • Experience with various technology stacks, including web application development, middleware, integration, and enterprise architecture. • Must have prior experience in managing a team comprising engineers, leads, etc. • Must possess traits of thriving to work in a start-up environment. About UnboundB2B: UnboundB2B is a fast growing b2b lead generation company in Pune, India with offices in Delaware, US & Bay Area, CA. We cater to the elite group of b2b enterprises in North America and have proven track record of growth & success which translates to employee growth & learning capabilities within the company. Being part of UnboundB2B will help you horn your soft skills and analytical skills besides the opportunity of learning so much more about Technology industry.

Project Role : Engineering Services Practitioner Project Role Description : Assist with end-to-end engineering services to develop technical engineering solutions to solve problems and achieve business objectives. Solve engineering problems and achieve business objectives using scientific, socio-economic, technical knowledge and practical experience. Work across structural and stress design, qualification, configuration and technical management. Must have skills : 5G Wireless Networks & Technologies Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Job Title: 5G Core Network Ops Senior Engineer Summary: We are seeking a skilled 5G Core Network Senior Engineer to join our team. The ideal candidate will have extensive experience with Nokia 5G Core platforms and will be responsible for fault handling, troubleshooting, session and service investigation, configuration review, performance monitoring, security support, change management, and escalation coordination. Roles and Responsibilities: 1. Fault Handling & Troubleshooting: Provide Level 2 (L2) support for 5G Core SA network functions in production environment. Nokia EDR Operations & Support, Monitor and maintain the health of Nokia EDR systems. Perform log analysis and troubleshoot issues related to EDR generation, parsing, and delivery. Ensure EDRs are correctly generated for all relevant 5G Core functions (AMF, SMF, UPF, etc.) and interfaces (N4, N6, N11, etc.). Validate EDR formats and schemas against 3GPP and Nokia specifications. NCOM Platform Operations Operate and maintain the Nokia Cloud Operations Manager (NCOM) platform. Manage lifecycle operations of CNFs, VNFs, and network services (NSs) across distributed Kubernetes and OpenStack environments. Analyze alarms from NetAct/Mantaray, or external monitoring tools. Correlate events using Netscout, Mantaray, and PM/CM data. Troubleshoot and resolve complex issues related to registration, session management, mobility, policy, charging, DNS, IPSec and Handover issues. Handle node-level failures (AMF/SMF/UPF/NRF/UDM/UDR/PCF/CHF restarts, crashes, overload). Perform packet tracing (Wireshark) or core trace (PCAP, logs) and Nokia PCMD trace capturing and analysis. Perform root cause analysis (RCA) and implement corrective actions. Handle escalations from Tier-1 support and provide timely resolution. 2. Automation & Orchestration Automate deployment, scaling, healing, and termination of network functions using NCOM. Develop and maintain Ansible playbooks, Helm charts, and GitOps pipelines (FluxCD, ArgoCD). Integrate NCOM with third-party systems using open APIs and custom plugins. 3. Session & Service Investigation: Trace subscriber issues (5G attach, PDU session, QoS). Use tools like EDR, Flow Tracer, Nokia Cloud Operations Manager (COM). Correlate user-plane drops, abnormal release, bearer QoS mismatch. Work on Preventive measures with L1 team for health check & backup. 4. Configuration and Change Management: Create a MOP for required changes, validate MOP with Ops teams, stakeholders before rollout/implementation. Maintain detailed documentation of network configurations, incident reports, and operational procedures. Support software upgrades, patch management, and configuration changes. Maintain documentation for known issues, troubleshooting guides, and standard operating procedures (SOPs). Audit NRF/PCF/UDM etc configuration & Database. Validate policy rules, slicing parameters, and DNN/APN settings. Support integration of new 5G Core nodes and features into the live network. 5. Performance Monitoring: Use KPI dashboards (NetAct/NetScout) to monitor 5G Core KPIs e.g registration success rate, PDU session setup success, latency, throughput, user-plane utilization. Proactively detect degrading KPIs trends. 6. Security & Access Support: Application support for Nokia EDR and CrowdStrike. Assist with certificate renewal, firewall/NAT issues, and access failures. 7. Escalation & Coordination: Escalate unresolved issues to L3 teams, Nokia TAC, OSS/Core engineering. Work with L3 and care team for issue resolution. Ensure compliance with SLAs and contribute to continuous service improvement. 8. Reporting Generate daily/weekly/monthly reports on network performance, incident trends, and SLA compliance. Technical Experience and Professional Attributes: 5–9 years of experience in Telecom industry with hands on experience. Mandatory experience with Nokia 5G Core-SA platform. Handson Experience on Nokia EDR Operations & Support, Monitor and maintain the health of Nokia EDR systems. Perform log analysis and troubleshoot issues related to EDR generation, parsing, and delivery. Experience on NCOM Platform Operations Operate and maintain the Nokia Cloud Operations Manager (NCOM) platform NF deployment and troubleshooting experience on deployment, scaling, healing, and termination of network functions using NCOM. Solid understanding for 5G Core Packet Core Network Protocol such as N1, N2, N3, N6, N7, N8, 5G Core interfaces, GTP-C/U, HTTPS and including ability to trace, debug the issues. Hands-on experience with 5GC components: AMF, SMF, UPF, NRF, AUSF, NSSF, UDM, PCF, CHF, SDL, NEDR, Provisioning and Flowone. In-depth understanding of 3GPP call flows for 5G-SA, 5G NSA, Call routing, number analysis, system configuration, call flow, Data roaming, configuration and knowledge of Telecom standards e.g. 3GPP, ITU-T and ANSI. Familiarity with policy control mechanisms, QoS enforcement, and charging models (event-based, session-based). Hands-on experience with Diameter, HTTP/2, REST APIs, and SBI interfaces. Strong analytical and troubleshooting skills. Proficiency in monitoring and tracing tools (NetAct, NetScout, PCMD tracing). And log management systems (e.g., Prometheus, Grafana). Knowledge of network protocols and security (TLS, IPsec). Excellent communication and documentation skills. Educational Qualification: BE / BTech 15 Years Full Time Education Additional Information: Nokia certifications (e.g., NCOM, NCS, NSP, Kubernetes). Experience in Nokia Platform 5G Core, NCOM, NCS, Nokia Private cloud and Public Cloud (AWS preferred), cloud-native environments (Kubernetes, Docker, CI/CD pipelines). Cloud Certifications (AWS)/ Experience on AWS Cloud

Role Overview We are looking for highly skilled with 4 to 5 years experienced Generative AI Engineer to design and deploy enterprise-grade GenAI systems. This role blends platform architecture, LLM integration, and operationalization—ideal for engineers with strong hands-on experience in large language models, RAG pipelines, and AI orchestration. Responsibilities Platform Leadership: Architect GenAI platforms powering copilots, document AI, multi-agent systems, and RAG pipelines. LLM Expertise: Build/fine-tune GPT, Claude, Gemini, LLaMA 2/3, Mistral; deep in RLHF, transformer internals, and multi-modal integration. RAG Systems: Develop scalable pipelines with embeddings, hybrid retrieval, prompt orchestration, and vector DBs (Pinecone, FAISS, pgvector). Orchestration & Hosting: Lead LLM hosting, LangChain/LangGraph/AutoGen orchestration, AWS SageMaker/Bedrock integration. Responsible AI: Implement guardrails for PII redaction, moderation, lineage, and access aligned with enterprise security standards. LLMOps/MLOps: Deploy CI/CD pipelines, automate tuning/rollout, handle drift, rollback, and incidents with KPI dashboards. Cost Optimization: Reduce TCO via dynamic routing, GPU autoscaling, context compression, and chargeback tooling. Agentic AI: Build autonomous, critic-supervised agents using MCP, A2A, LGPL patterns. Evaluation: Use LangSmith, BLEU, ROUGE, BERTScore, HIL to track hallucination, toxicity, latency, and sustainability. Skills Required 4–5 years in AI/ML (2+ in GenAI) Strong Python, PySpark, Scala; APIs via FastAPI, GraphQL, gRPC Proficiency with MLflow, Kubeflow, Airflow, Prompt flow Experience with LLMs, vector DBs, prompt engineering, MLOps Solid foundation in applied mathematics & statistics Nice to Have Open-source contributions, AI publications Hands-on with cloud-native GenAI deployment Deep interest in ethical AI and AI safety 2 Days WFO Mandatory Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.