Designation : Virtual Conference Video Operator Location : Hyderabad Experience : 3 - 6 Years Roles & Responsibilities: To succeed, what traits you will need to naturally possess 1. Par excellence English Language Written, Spoken & Listening skills ( Multi-national customer environment) 2. Engages a customer with ease, finesse & patience 3. A multi-tasker who thrives in a work-day , filled with tech savvi -ness (multiple apps, tools, office tools, the PC etc.) 4. A natural trouble-shooter and problem-solver; manages irate customers with ease 5. Open and adaptable mindset 6. Confidence & courage 7. A work ethic filled with commitment, ownership and a die-hard nature to succeed 8. A learning-enabled mindset What past experiences we greatly value Customer-facing Hospitality & Hotels Customer-facing Airlines Customer-facing Video Conferencing & Event Products Customer-facing SaaS Product company Customer- facing Technical Support (IT, ITeS ) Customer-facing Video & Unified Communication Hardware Products or Any (Optional ) . What we promise you in return In addition to an industry-best Compensation & Benefits package - a Reward & Recognition framework that shall keep you monetized, enthused, excited and engaged!! A work environment that is equipped with the latest in Unified Communication Platforms (a skill that is the next-gen demand in the Global workforce) A fun and action filled environment that is learning, designing, building and growing on-the - go Customer engagement opportunities with some of the top leaders of the world. Customer management techniques and tricks that you would have never before indulged in! A Learning environment interacting with people & teams across continents and industry domains; learn from the best! A daily journey of tasks, challenges, problem-solving & troubleshooting
We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other Data Scientists, ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc time bound POC s. Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members. Requirements [Primary Skills]: Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalization s, search, virtual assistant, time series forecasting and more. Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning. Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders. Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies Produce reusable code according to standard methodologies in Python, Scala or Java Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews. [Good to have Skills]: SQL, Data Analysis , Gaming Industry knowledge [Responsibilities and Duties]: Lead dedicated team of software engineers to architect, build, deploy and support best-in-class software services that are always available to provide the best gaming experience for our customers. Build and develop a high energy, committed, motivated engineering team focusing on engineering and operational excellence to deliver awesome business results. Collaborate across business units and product teams to develop and execute against the teams vision, strategy, and roadmap. Use technical expertise and industry trends to influence software development standard methodologies. Handle day-to-day activities of engineering team using Agile/Scrum methodology. Mandatory Skills: Data Science , Machine Learning , Artificial Intelligence , Statistics , Deep Learning [Technology and Sub-technology] Technology name : Machine Learning , Statistics , Deep Learning , ML Ops , Data Analytics covering : NLP Linear Regression Classification Clustering Transfer Learning NLP Forecasting based Models Algorithms Large Language Models Machine learning frameworks such as Tensorflow, PyTorch, MLlib etc. Data Bricks Sub-technology name: Python, SQL, Spark, Kubernetes, Jenkins, Prometheus
Own operational oversight for services running on a Java-based microservices platform. Act as the primary escalation point for production incidents; lead incident response and communication. Drive post-incident reviews (blameless RCAs) and embed learnings through preventive actions. Maintain service dashboards, alerts, and incident tooling (e.g., PagerDuty, Datadog). Technical Leadership Guide operational practices across services built using Java (Spring Boot) , Kafka , MongoDB and related technologies. Oversee monitoring, observability, and performance tuning using Datadog , ELK , Prometheus , or similar tooling. Problem Management & Root Cause Elimination Lead proactive and reactive problem management efforts. Identify recurring production issues and collaborate with engineering to design permanent solutions. Track and reduce operational toil via automation and tooling improvements. Change Enablement & Service Onboarding Partner with development teams to onboard new services with production readiness standards. Ensure all services meet requirements for monitoring, logging, documentation, support, and resilience before go-live. Support safe, rapid change practices including canary releases, feature flags, and progressive delivery. Team Management & Leadership Lead and mentor a team of operations engineers and/or SREs. Manage performance reviews, career development, and day-to-day team workload. Foster a high-performance culture with strong accountability, collaboration, and a learning mindset. Continuous Improvement & DevOps Practices Drive automation and self-service initiatives to reduce manual intervention and operational burden. Champion observability best practices (metrics, traces, logs) and error budget tracking. Promote DevOps culture and continuous feedback loops between engineering and operations. Governance, Risk & Compliance Ensure operational processes comply with security, privacy, and regulatory requirements (e.g., SOC 2, ISO 27001). Manage operational risks, service continuity plans, and audit readiness.
Key Responsibilities: 1. Network Architecture & Design Design end-to-end wireless LAN (WLAN) and SD-WAN architectures for multi-site or large-scale environments. Develop high-availability, secure, and scalable network topologies supporting mobility, IoT, and cloud applications. Integrate WiFi and SD-WAN solutions with existing data center, and cloud infrastructure (AWS, Azure, GCP). 2. Deployment & Implementation Lead or supervise deployment teams in the rollout of WiFi, SD-WAN solutions. Lead site surveys, RF planning, capacity analysis, and spectrum management for optimal wireless coverage and performance. Ensure integration with firewalls, NAC, and identity management systems such as Cisco ISE, Aruba ClearPass, Plan and coordinate cutovers, migrations, and staged rollouts with minimal downtime. 3. Technology & Tools Work experience with: WiFi: Cisco, Juniper Mist, Extreme Networks, Meraki is desirable. SD-WAN: Cisco Viptela/Meraki or Fortinet or Silver Peak is mandatory. Monitoring: Ekahau or ThousandEyes or NetBox is mandatory Develop automation and orchestration workflows using Ansible or APIs fornetwork provisioning - mandatory. Deep expertise on zero-touch provisioning and SASE integration. 4. Performance, Optimization & Troubleshooting Conduct post-deployment validation , performance tuning, and optimization. Establish network KPIs and SLA monitoring for WiFi and SD-WAN. 5. Collaboration & Leadership Collaborate with infrastructure, cloud, and security teams to ensure cohesive network strategy. Provide technical mentorship to network engineers and field deployment teams. Engage with vendors and service providers for design validation and support escalations. Qualifications: Education: Bachelor s degree in Computer Science or Electrical Engineering. Experience: 12 - 15 years of progressive experience in enterprise networking. 5+ years designing and deploying WiFi and SD-WAN solutions. Experience with distributed enterprise networks (e.g., universities, hospitals, or large enterprises). Certifications (Preferred): Aruba Certified Design Expert (ACDX) or Professional (ACDP) Fortinet NSE 5-7 , VMware SD-WAN Specialist , or Silver Peak ASE