110 Network Analysis Jobs - Page 2

Project description Technology Division is seeking a talented and motivated individual for a Network Analyst position. Responsibilities will include the operational support and maintenance of the enterprise branch network, cloud-based infrastructure architecture and management, SDWAN implementation & support, documentation and implementation of new solutions, and working high level network escalations from our branch teams. If you are looking for a new and exciting career opportunity and possess three or more years of network support experience, this may be the ideal opportunity for you. esponsibilities rovide network engineering resources to support branch network services during Client's off-hours7 pm CT to 6 am CT. tilize Edward Jones tools and processes ervice ManagementIncident, Change, Service Requests, etc. mplementation tools and processes onitoring and reporting tools onitor and test network performance and provide network performance statistics and reports eview reports and real-time monitoring to identify potential issues with network circuits ssist with upgrades to branch network devices such as Meraki switches, VeloCloud SDWAN devices, and Cradlepoint cellular backhaul devices. (To be implemented outside of core business hours.) onfigure and install/update software, routers, and other network devices erform reboots of branch PDUs and modems on regular basis dentify potential automation opportunities dentify, troubleshoot, resolve, and document network connectivity and performance issues iaise with vendors, other IT personnel, and contract teams as they relate to service requests and issue resolution during shift hours. kills Must have achelor's degree is preferred or equivalent work experience/certifications in technology hree or more years of experience supporting network hardware hree or more years of experience with enterprise network solutions and technologies trong analytical network troubleshooting skills to solve complex issues xperience with SDWAN Design, Deployment & Support xperience with Cloud Based Architecture & Management xperience with Cellular and Wireless technology and support xperience with packet/protocol analyzers, and network management/monitoring tools xcellent communication (written and verbal) and interpersonal skills xcellent organizational and time management skills bility to work in a team environment and/or as an individual contributor ice to have b>Location - pune,mumbai,chennai,banagalore

Networking Fundamental,Cybersecurity Basic Concept ,Different type of cyber threats & attack,Attack & Techniques,Vulnerability & web security,Incident response techniques Malware Analysis,Experience in Hacking skillsURL & E-mail Analysis,Log Analysis

We're looking for a detail-oriented and driven GIS Analyst to join our high-impact Analytics team. In this role, you will be responsible for analyzing, visualizing, and maintaining geospatial data to uncover actionable insights that support decision-making across planning, operations, and strategy. You will work closely with the Director of Analytics and collaborate with cross-functional stakeholders to deliver geospatial intelligence that drives measurable business impact. This is a hands-on role, ideal for someone who enjoys working with spatial datasets, building maps and dashboards, and turning geospatial analysis into clear recommendations. You'll be a thought partner across the organization and see your work have immediate, tangible results. What you'll do here: Collect, analyze, and maintain spatial datasets from internal and external sources to support planning, operations, and strategic initiatives. Build interactive maps, dashboards, and visualizations (e.g., ArcGIS, QGIS, Power BI) to communicate geospatial insights to technical and non-technical audiences. Conduct spatial analysis (e.g., proximity studies, network analysis, site selection, demographic analysis) to identify trends and opportunities. Partner with cross-functional teams to integrate geospatial insights into product, marketing, financial planning, and operations. Develop and maintain geodatabases, ensuring data accuracy, consistency, and accessibility. Automate GIS workflows and reporting processes using tools like Python, ModelBuilder, or FME. Support experimentation and scenario modeling by incorporating spatial variables into analyses. Collaborate closely with the Director of Analytics to prioritize geospatial workstreams and ensure alignment with organizational goals. Help foster a culture of geospatial and data-driven decision-making across the company. Skills & attributes youll bring for success: Bachelors degree in Geography, GIS or a quantitative field (e.g., Computer Science, Economics, Statistics, Business, Engineering, Mathematics, or related). 2+ years of professional experience working with GIS in an applied analytics or planning role. Proficiency with GIS software (e.g., ArcGIS, ArcGIS Pro, QGIS) and data visualization tools (e.g., Tableau, Power BI, Looker). Strong SQL and database management skills; experience working with spatial databases (PostGIS, SQL Server, etc.). Demonstrated ability to extract insights from spatial and tabular datasets and present findings clearly. Knowledge of Python, R, or similar scripting languages for geospatial analysis and automation. Familiarity with remote sensing, GPS, or web mapping platforms (e.g., ArcGIS Online, Leaflet, Mapbox) a plus. Ability to work independently, manage multiple priorities, and solve problems in a fast-paced environment. Excellent verbal and written communication skills. A hands-on, can-do attitude with a passion for geospatial data and continuous learning. What will you get if you join us: Fully work from home opportunity Competitive Salary plus Bonus Health insurance, Personal Accidental & Life Insurance Benefits Innovative culture with an open and collaborative environment Many opportunities to develop core and new skillsets and have a stake in your own success Freedom to create your best work and make a visible impact on the organization

The Impact you will have in this role: Senior Platform Engineer (Senior - Network Observability Engineer) in Network Observability will be responsible for Administering and Leading the DTCC Network Infrastructure Monitoring tools. This role will partner with the Network Observability Engineering team to ensure that ensure monitoring and instrumentation are properly configured in all critical locations of the Network. The role will work closely with DTCC Network Operations and Network Engineering teams to understand troubleshooting challenges and translate the challenges into action plans using Topology analysis and visualization using a suite of tools at DTCC. Your Primary Responsibilities: Data collection: Gather information from network devices like routers, switches, firewalls, servers, and endpoints. This data includes network traffic, log files, SNMP MIB file maintenance and device statistics. Data analysis: Use advanced analytics to process and analyze the data to identify patterns, anomalies, and trends. Documentation: Create documentation, schematics, templates and presentations for operational use, management and collaborators.Ensure Disaster Recover Steps and High Availability principles are maintained at all times. Troubleshooting: Use the data to identify root causes of issues and fix complex connectivity issues. Visualization: Create custom dashboards and visual representations to gain insights from the data. Collaboration: with Engineering and Operations teams to ensure end to end support for design, implementation, and operations. Solutions should support end to end success. Improving User Experiences: Observability engineers identify areas for improvement in user experiences by analyzing telemetry data, optimizing performance, and reducing bottlenecks Qualifications: Minimum of 6 years of related experience Bachelor's degree preferred or equivalent experience Talents Needed for Success: Fosters a culture where integrity and transparency are encouraged. Stays ahead of on changes in their own specialist area and seeks out learning opportunities to ensure knowledge is up-to-date. Invests effort to individually coach others. Builds collaborative teams across the organization. Communicates openly keeping everyone across the organization informed. Specific Skills & Technologies Participate in Network Engineering System Design and Implementation Projects to ensure observability principles are applied to every project. Provide insights and guidance on telemetry requirements, instrumentation strategies, and best practices to ensure observability is built into the system from the ground up. Partner with Observability Engineers to develop dashboards and routines to constantly provide an overview of the health of the DTCC network ensuring business readiness at all times. Solid understanding in technologies like: Splunk, NetBrain, OpenText tools suite, SolarWinds, Event Management Tools, syslog, Network Analysis Tools, Gigamon Packet Directors, SNMP, and Packet Capture tools. Advance knowledge of networking monitoring protocols, such as: SNMP v3, netflow, etc. Extensive experience managing an NPM/APM tool like NNMi, SolarWinds, etc is required. Ability to supervise and analyze performance of Network systems using a diverse set of Network Capabilities and a variety of tools. Strong Network Troubleshooting skills in a Network Campus & Data Center environment. Ability to help solve sophisticated challenges using modern Network Monitoring, Observability, alerting, reporting, dashboarding technologies.

About The Role Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : HPE Network Management Center Good to have skills : Python (Programming Language)Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationRole:Monitoring Tool SpecialistRole Description:Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running.Must Have Skills: Candidates should have 14+ years industry experience in managing tools MF NNM Applications and Excellent network analysis fundamentals and robust troubleshooting skills Good To Have Skills: MF NPS/NA/UCMDB/Sitescope/OBM and Server Operating System (Windows/Unix/Linux), Network & Application Monitoring tools Knowledge. Industry Standard tool certifications will be preferred.Job Key Responsibilities a. NNM/NPS/NA/iSPI's Installation/Upgrade with ApplicationFailover and HA Environment.b. NNM Integration with multiple MF Tools as well as 3rd party tools.c. NNM/NA discovery and DDP Installationd. Configuring LDAP, SMTP and SSL on NNM/NA.e. Performing Router, Switches, Firewall, Load balancer discovery/trubleshooting.f. Troubleshooting of discovery failure and inetgation related issues.g. NPS Standard and customization reports and schudling.h. Experince on NNM/NPS/NA/iSPI migration. Technical Experience:a. Installation of Installation.b. Integration with NPS/NA/UCMDB, OBM and 3rd party tools like mywizard.c. Basic and Advanced Discovery Knowledge.d. NNM/NPS/NA console, custompoll, SNMP Traps, monitoring setting.e. Scripting - Perl, Shell, etc. for any cutomization and automation in NNM. Professional ExperienceGood understanding of ITIL framework Flexible to work in 24x7 environment Should have knowledge of SLAs OLAs and KPIs Well versed corporate ethics and compliance Team player who also works well independently self-motivated Work on the service improvement programs. Educational Qualification:Bachelor degree or Engineering and 15 years of full time education. Additional Information:Good communication, presentation, technical documentation, and collaboration skills. Qualification 15 years full time education

CLM reports pre- and post-launch to Commercial CLM prepares launch in the market: Discussion content like MSL: 1) disease awareness/unmet medical need, 2) mode of action, 3) study results of the approval studies Network analysis, analysis of early adopters (Veeva documentation, e.g. sentiment ladder tbd.) CLM discusses additionally approved Verquvo indication (one-face-to-the customer, synergies, fewer resources required) in a call Incentivization: pre-launch: qualitative, not sales-related post-launch: Sales Force bonus system Activity pre-launch max. 12 months with defined number of doctor contacts (4 - 6) Responsibilities Preparation of new preparations or new indications of existing preparations Establishment and maintenance of sustainable relationships with regional opinion leaders (Tier 3), key accounts, physician networks, MVZs in the area; Network Analyses Development and implementation of a regional bidding and sales strategy in the area in cooperation with MSL, Medical, Marketing, Clear definition of responsibilities to ensure one-face-to-the-customer at TL level (TIER 3). Conception, organization and implementation of regional training VAs with the involvement of relevant opinion leaders Promote the prescription/use of CardioRenal BU products by providing scientific and application-relevant information Release of events

Join Adobe as a Research Scientist in Noidas MDSR Lab within the DX unit. Conduct innovative research to reshape digital experiences. Responsibilities Design, implement, and optimize ML algorithms to address real-world problems in understanding user behavior and generating content to improve marketing performance. Develop scalable synthetic data generation and evaluation techniques. Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources. Iteratively refine research experiments and clearly communicate insights to the team. Integrate core machine learning models into the Adobe Experience Manager and Adobe Experience Platform. Collaborate with product, design, and engineering teams to rapidly prototype and transition conceptual prototypes from research to production. Requirements Proven expertise in one or more of the following areas: Large Language Models, Computer Vision, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding. Quality research work published in top conferences. Hands-on experience and a track record of deploying solutions in production environments. Experience in deriving concrete conclusions and actionable insights from large datasets. Ability to take research risks and solve hard problems independently. PhD degree or an equivalent experience (for BTech) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields. You Will Thrive In This Role If You: Are a great teammate who is willing to take on a variety of tasks to ensure the success of the team. Have a consistent track record for empirical research, answering complex questions with data. Have experience working in complex technical environments, improving research velocity. Possess a flexible analytic approach that allows for results at varying levels of precision. Have familiarity with relational databases, SQL, and large-scale data systems such as Apache Spark.

As an Application Developer at O9 Solutions, you will be responsible for designing, building, and configuring applications that align with business process and application requirements. Collaborating with cross-functional teams, you will develop innovative solutions and ensure that applications are in line with business objectives. This role will require problem-solving skills, involvement in key decisions, and timely delivery of high-quality applications. You will serve as a Subject Matter Expert (SME) for O9 Solutions, collaborating with and managing the team to achieve project goals. Taking responsibility for critical team decisions, you will engage with multiple teams, contribute to cross-functional decisions, and provide problem-solving support across teams. Facilitating knowledge-sharing sessions will also be part of your responsibilities to enhance team capabilities while monitoring project progress and ensuring the timely delivery of features. In terms of professional and technical skills, the must-have requirements include proficiency in O9 Solutions with a minimum of 7.5 years of relevant experience, a strong understanding of application development methodologies, experience in integrating applications with existing systems, the ability to troubleshoot and resolve application issues efficiently, and familiarity with agile development practices. Additionally, it would be beneficial to have knowledge of Network Analysis (NA). This position is based in Pune, India, and requires 15 years of full-time education.,

The primary objective of this role is to enhance network capacity, ensuring consistent availability to support products and services that meet customer expectations. This is a hands-on operational role focused on executing capacity planning activities that directly influence daily network performance and reliability. Responsibilities include conducting Customer Circuit Validation, Network Analysis, Core Planning, and Migrations for IP services. Reserving Capacities and managing bandwidth on inventory management systems & closing tasks in a time-bound manner. Ensuring order completion related to capacity augmentation or modification within TAT. Driving the Edge capacity management for Migration/ Modernization Projects. Monitoring project status and adherence to project timelines & guiding the team on escalations. Reviewing traffic forecasts, past trends, and utilization reports to analyze trends. Understanding network topology & Customer requirements and proposing Solutions for migrating the circuit. Ensuring all documentations & databases are updated. Creating and maintaining SOPs, process maps, and knowledge articles. Mentoring new joiners and supporting upskilling initiatives. Driving automation, lean initiatives, and best practices. Desired Skill sets include experience in Validation/Network Analysis/Planning IP services, expertise in Telecom provisioning, capacity management solutions, experience in network management applications and data network, experience in Database applications like Remedy, Crammer etc, Infrastructure Sizing and Capacity management experience, and leadership skills are preferred.,

The role requires strategic thinking and technical expertise with a strong background in financial crime detection and prevention, particularly using advanced analytical methodologies. You will be responsible for designing, developing, and deploying analytics/models to detect suspicious activities and financial crime. The ideal candidate will possess technical expertise, a strategic mindset for enhancing Transaction Monitoring effectiveness, and a good familiarity with compliance regulations in the financial sector. You will be expected to design, develop, and deploy models for anomaly detection, behavior profiling, network analysis, and predictive scoring for Transaction Monitoring Solutions. Additionally, you will act as a single Point of Contact for assigned AML Transaction Monitoring Modeling related matters. Your responsibilities will include data exploration, feature engineering, and ensuring that models are accurate, efficient, and scalable. Furthermore, you will support analytical processes to enhance Transaction Monitoring red flag monitoring and optimize cases for investigation through AI/ML models and analytical processes. You will also work on improving processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. As the role holder, you will be accountable for ensuring that all processes/models follow the Bank's governance process, including Model Risk Policy Governance and Risk-Based Rule review. Key Responsibilities: - Conceptualize, design, support, and align relevant processes and controls to industry best practices, and address any compliance gaps. - Mentor and conduct training programs to bring new joiners and the team up to speed on new business requirements. - Provide endorsement for changes or remediation activities impacting AML Optimization models and engage with relevant stakeholders for deploying the changes to production. - Work on processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. - Work towards the collective objectives and scorecard of the business function published periodically in the form of job and performance objectives. Skills and Experience: - Provide coaching to peers and new hires to ensure they are highly engaged and performing to their potential. - Promote and embed a culture of openness, trust, and risk awareness, where ethical, legal, regulatory, and policy-compliant conduct is the norm. - Apply Group and FCC policies and processes to manage risks effectively. - Engage with Business/Segment stakeholders to understand emerging risks and ensure they are suitably addressed through Monitoring coverage. - Attend relevant business/segment/product-related working group meetings and ensure tracking and remediation of surveillance and investigations related regulatory findings. Qualifications: - 8+ years of hands-on experience in Transaction Monitoring design and development, with at least 5 years focused on financial crime threat risk mitigation. - Strong background in deploying models within TM or compliance environment with a solid understanding of AML/CFT regulations. - Strong coding skills in Python, R, SQL, and familiarity with data engineering practices for model integration.,

As a Sr. Software Engineer at Innefu Lab Pvt. Ltd., a Series A funded company specializing in Information Security & Data Analytics using cutting edge technologies like AI for predictive intelligence and Facial Biometrics, you will play a crucial role in our mission to deliver top-notch solutions to our 100+ clients in India. We are seeking a skilled QGIS Developer with over 4 years of experience to join our team. Your primary responsibility will be to leverage your strong expertise in QGIS software, plugins, tools, and libraries to enhance our geospatial data management, analysis, and visualization capabilities. Key Technical Requirements: - Proficiency in GIS software, particularly QGIS, and its various plugins. - In-depth knowledge of data management, analysis, and visualization techniques within QGIS. - Familiarity with scripting languages like Python, R, and SQL. - Experience working with database management systems such as PostgreSQL and MySQL. - Ability to create and manage geospatial databases, design data models, and implement robust solutions. - Understanding of geospatial data formats like shapefiles, geodatabases, and GeoJSON. - Strong grasp of cartographic principles to develop high-quality maps and visualizations. - Skilled in troubleshooting technical issues related to QGIS and related tools. - Exposure to web mapping technologies like OpenLayers, Leaflet, and Mapbox. - Excellent communication skills to convey technical concepts effectively to non-technical stakeholders. - Proficient in problem-solving and developing innovative solutions to complex technical challenges. - Experience with version control systems like Git and SVN. - Attention to detail to ensure data accuracy and completeness. Preferred Qualifications: - Knowledge of spatial analysis techniques such as network analysis, spatial interpolation, and geostatistics. - Certification in relevant areas like QGIS Certified Associate or Professional. - Hands-on experience with QGIS tools and GIS software like ArcGIS, GRASS, and PostGIS. - Familiarity with web mapping technologies, databases (PostgreSQL, MySQL, SQLite), and operating systems (Windows, Linux). Your role will also involve collaborating with cross-functional teams, managing projects independently or as part of a team, and showcasing your problem-solving abilities under tight deadlines. A background in Agile or Scrum methodologies is advantageous for this position. Additionally, we encourage you to present examples of your GIS and QGIS projects along with code samples in your portfolio to demonstrate your technical prowess and experience. If you are a dedicated QGIS Developer with a passion for geospatial technology and a desire to contribute to innovative solutions in the field of Information Security and Data Analytics, we welcome your application to join our dynamic team at Innefu Lab Pvt. Ltd. (Note: This job description is referenced from hirist.tech),

You are a dynamic and experienced Global Senior Communications Test Engineer responsible for leading 5G communications testing and capability-building efforts across international markets. Your role involves managing technical teams to develop local 5G communication test capabilities and coordinate field testing teams in various countries. You will lead a team of 710 engineers in India and 510 engineers in Indonesia to develop local 5G communication test capabilities. Additionally, you will mentor and coordinate field testing teams comprising Chinese and local overseas engineers in different countries. You will participate in 5G national communications capacity building across countries such as Thailand, the Philippines, Malaysia, Colombia, Poland, Australia, Greece, and more. Your responsibilities include conducting local communication surveys, network analysis, and field testing to ensure high-quality delivery. You will support third-party testing, network optimization, and delivery quality assurance in over 150 countries. Collaboration with global teams to resolve technical challenges and align with company standards is also a key aspect of your role. As a Global Senior Communications Test Engineer, you have the opportunity to engage in short-term international assignments or opt for permanent overseas roles. This will allow you to gain hands-on global exposure while experiencing diverse cultures and landscapes. To qualify for this position, you should hold a Bachelors or Masters degree in Telecommunications, Electronics, or related fields. Additionally, you should have a minimum of 5 years of experience in communications/network testing, preferably with 5G or mobile field testing. Strong leadership and cross-functional coordination skills are essential, and you should be willing to travel internationally or relocate based on project needs.,

As a Level 2 Network Engineer, you will provide Junior (Level 2) operations engineering expertise to a large, complex enterprise LAN and WAN client in a predominantly Cisco networking environment. Your responsibilities will include reviewing scripting, planning, and executing network Change Management processes, as well as investigating network issues/incidents and resolving them within stated SLA parameters. You will collaborate with Incident, Problem, and Change Management teams, providing Root Cause Analysis (RCA) to the operations team and customers upon request. Your role will also involve offering technical leadership for Incidents and Changes, working on network drawings using Visio, and collaborating with other application teams. A good understanding of BGP/EIRGP routing, NAT/PAT, VPN, and firewall technologies will be essential for this position. To qualify for this role, you should have a 4-year Bachelor's Degree or equivalent experience in Computer Science, Information Systems, or Engineering. Alternatively, three years of College or Technical School resulting in an Associate's Degree or equivalent will be considered. Required certifications include CCNA Enterprise Route/Switch, with additional desirable certifications such as Cisco SDWAN Specialization and Palo Alto Certification. Ideal candidates will have previous network operations experience and expertise in predominantly Cisco LAN and WAN environments within large, complex enterprise settings. Experience in implementing/managing WAN circuits (T1, Ethernet, MPLS, etc.), utilizing network analysis tools, and managing EIGRP/BGP routing protocols will be crucial. Proficiency in VLAN technology in an enterprise environment is also desirable. Key skills required for this role include clear communication, time management, self-management, independent work skills, and presentation skills. In-depth operational knowledge of Routing Protocols like EIGRP & BGP is essential, with exposure to platforms such as SDWAN, F5 LTM/GTM, and Cisco ASA/Palo Alto with virtual firewall contexts. If you are a proactive and technically adept individual with a passion for complex networking environments, this role offers an exciting opportunity to contribute your expertise and leadership skills to a dynamic team.,

The Security Operations Centre (SOC) department is seeking a candidate with strong oral and written communication skills. Experience in managing global customers, particularly in the US and Canada, is an advantage. The ideal candidate should be proficient in Incident Management and Response, with in-depth knowledge of security concepts such as cyber-attacks, threat vectors, risk management, and incident management. Strong familiarity with EDR and XDR is preferred. A strong understanding of various security solutions including EDR, XDR, NDR, EPP, Web Security, Firewalls, Email Security, O365, SIEM, SSL, Packet Analysis, HIPS/NIPS, Network Monitoring tools, Remedy, Service Now Ticketing Toolset Web Security, AV, UBEA, and Advanced SOC is required. The role involves working in a 24x7 Security Operation Centre (SOC) environment and includes creating, performing, reviewing, and delivering Incident Response playbooks and procedures. The responsibilities also include providing analysis and trending of security log data, threat and vulnerability analysis, security advisory services, and experience with Security Information Event Management (SIEM) tools. Hands-on experience in creating advanced correlation rules and conducting Vulnerability Assessments is a must. The candidate should have experience in threat hunting and forensic investigations. Other tasks and responsibilities may be assigned, including creating and fine-tuning rules, playbooks, etc. Strong knowledge of various operating systems such as Windows, Linux, and Unix, as well as TCP/IP Protocols, network analysis, and common Internet protocols and applications, is essential. Effective communication skills are required for contributing to the development and delivery of various written and visual documents for diverse audiences. Location: Ahmedabad Experience: 3-6 yrs Essential Skills/Certifications: GCFA, GCFE, CISP, CISSP, CCNP, CCIE Security, CEH; CSA If you meet the requirements and possess the essential skills/certifications, please send your CV to careers@eventussecurity.com.,

As a Data Engineer at CLOUDSUFI, a Google Cloud Premier Partner, you will be responsible for designing, developing, and deploying graph database solutions using Neo4j for economic data analysis and modeling. Your expertise in graph database architecture, data pipeline development, and production system deployment will play a crucial role in this position. Your key responsibilities will include designing and implementing Neo4j graph database schemas for complex economic datasets, developing efficient graph data models, creating and optimizing Cypher queries, building graph-based data pipelines for real-time and batch processing, architecting scalable data ingestion frameworks, developing ETL/ELT processes, implementing data validation and monitoring systems, and building APIs and services for graph data access and manipulation. In addition, you will be involved in deploying and maintaining Neo4j clusters in production environments, implementing backup and disaster recovery solutions, monitoring database performance, optimizing queries, managing capacity planning, and establishing CI/CD pipelines for graph database deployments. You will also collaborate with economists and analysts to translate business requirements into graph solutions. To be successful in this role, you should have 5-10 years of experience, with a background in BTech / BE / MCA / MSc Computer Science. You should have expertise in Neo4j database development, graph modeling, Cypher Query Language, programming languages such as Python, Java, or Scala, data pipeline tools like Apache Kafka and Apache Spark, and cloud platforms like AWS, GCP, or Azure with containerization. Experience with graph database administration, performance tuning, distributed systems, database clustering, data warehousing concepts, and dimensional modeling will be beneficial. Knowledge of financial datasets, market data, economic indicators, data governance, and compliance in financial services is also desired. Preferred qualifications include Neo4j Certification, a Master's degree in Computer Science, Economics, or a related field, 5+ years of industry experience in financial services or economic research, and additional skills in machine learning on graphs, network analysis, and time-series analysis. You will work in a technical environment that includes Neo4j Enterprise Edition with APOC procedures, Apache Kafka, Apache Spark, Docker, Kubernetes, Git, Jenkins/GitLab CI, and monitoring tools like Prometheus, Grafana, and ELK stack. Your application should include a portfolio demonstrating Neo4j graph database projects, examples of production graph systems you've built, and experience with economic or financial data modeling.,

You must possess a BSc or higher in Electrical Engineering with at least 15 years of professional experience. Specialization in electrical networks, especially in network analysis, grid interconnection studies, and power demand forecast expertise is required, with a minimum of 10 years of experience in electrical systems engineering. A minimum of 5 years of experience and in-depth knowledge in network analysis and grid interconnection studies is essential. Experience in developing countries and previous involvement in grid interconnection study projects are also necessary. You should have worked in a similar position for at least two project studies in the last five years. Additionally, experience in transmission line projects in Ethiopia is a must for this role.,

Job Purpose Adhere to call cycle plan, achieve sales and collection targets by maintaining relationship with channel partners in an assigned area (Territory) and effective communication of sales promotion activities to achieve set objectives. Job Context & Major Challenges UltraTech Cement is the largest cement manufacturer in India with an installed capacity of about 68 million tonnes. The company has production facilities in 17 locations spread across the country and has plans to grow further than acquisition and green field expansion. The Ultratech brand occupies a premium position with a market capitalization of Rs. 81438 crores. The Indian cement industry has a capacity of 409 million tonnes and a supply demand gap putting pressure of prices due to excess capacity. The market has strong regional Indian and MNC players in each Zone and has strong brand competition. The challenge will be to create compelling differentiation in Cement sales for achieving premium in pricing & exceeding Customers expectations through service excellence. Align & adopt a "One UltraTech" approach and leverage on strong relationship with channel partners to provide end to end construction solutions and stay ahead of the competition. Key Result Areas KRA (Accountabilities) (Max 1325 Characters) Supporting Actions (Max 1325 Characters) KRA1 Branding and Improving Brand Equity (R) Identify the locations for the hoarding placement, wall paintings etc. and timely distribution of the sales promotion material (R) Organize promotional activity as per the plan for Territory in order to drive positive brand equity index (R, A) Create awareness of value added services like Mobile Lab, Information Centre, Toll Free Number etc for dealers, retailers and end customers KRA2 Business Delivery R) Ensure easy availability and replenishment of allied products as per agreed SLAs, communication of pricing, discounts of allied products to UBS outlets (R) Ensure the achievement of the sales target for the Depot (including UBS allied products) at agreed price positions (R) Ensure timely collection of payments for keeping receivables under control / follow-up for timely collection of payment against sold material in the assigned area (R) Explore the possible locations for new inventory points within the assigned territory in line with i2 network analysis (R) Follow up with Zonal coordinator-UBS for setting up of UBS of identified counters KRA3 Business Development (R) Work towards increasing the business and profitability of channel partners by helping them in increasing sales from existing customers and in acquisition of more customers KRA4 Channel Management (R) Collect the security deposit at the time of appointment dealer and enhance it according to the norms of the company and exposure in the market place R) Ensure that UBS outlets deal in all category of products (R) Identify channel partners for prospective UBS format and develop UBS stores (R) Monitor dealers / customers credit worthiness and alert management in case of any adverse developments (R, A) Adhere to call cycle plan, collect the orders & payments and update SFA on real time basis (R, A) Execute the retailer meets, counter meets for sub dealers in assigned area (R, A) Track retailer level sales, stock replenishment through continuous monitoring KRA5 Competition Tracking (R) Obtain first hand information about competitors at retailer level on Cemtrak parameters (NR, DOD, CS, ACV, MS) KRA6 Customer Service and Responsiveness (R) Provide effective customer care service and attend the product and service related queries and resolve grievances as per SLAs to ensure customer loyalty and satisfaction KRA7 Influencer Management (R, A) Organize sales promotion activity at all UBS outlets and promote UBS outlets through technical / sales meet KRA8 Sales and Marketing Plan (R) Derive sales plan with dealer and retailer, product-wise, month wise to ensure desired counter share and market share achievement

Job Summary We are seeking a Systems Engineer with 1 to 4 years of experience to join our team in a hybrid work model. The ideal candidate will have expertise in Cisco Catalyst SDWAN Azure Networking Services and other networking technologies. This role requires a strong background in food services domain focusing on optimizing and managing network systems to enhance operational efficiency. Responsibilities Design and implement network solutions using Cisco Catalyst SDWAN to ensure seamless connectivity across the organization. Manage and optimize Azure Networking Services to support the companys cloud infrastructure needs. Configure and maintain Cisco ISE to enhance network security and compliance. Utilize Terraform and Ansible for efficient network automation and infrastructure management. Oversee AWS Networking to ensure reliable and secure cloud services. Implement and manage wireless networking solutions using Cisco technologies to support mobile and remote access. Configure and troubleshoot Cisco Switching & Routing to maintain network stability and performance. Leverage Google Cloud Networking to support multi-cloud strategies and enhance service delivery. Use WireShark for network analysis and troubleshooting to identify and resolve connectivity issues. Implement Fortinet SDWAN solutions to optimize network traffic and improve application performance. Collaborate with cross-functional teams to align network strategies with business objectives in the food services domain. Provide technical support and guidance to ensure network systems meet operational requirements. Monitor network performance and implement improvements to enhance efficiency and reliability. Qualifications Possess strong technical skills in Cisco Catalyst SDWAN Azure Networking Services and Cisco ISE. Demonstrate proficiency in Terraform and Ansible for network automation. Have experience with AWS Networking and Wireless Networking using Cisco. Show expertise in Switching & Routing Cisco and Google Cloud Networking. Be skilled in using WireShark for network analysis. Have knowledge of Fortinet SDWAN solutions. Exhibit understanding of the food services domain and its specific networking needs.

Dear Candidate, We are looking for a Computer Network Analyst to monitor, analyze, and improve the performance and security of organizational networks. Key Responsibilities: Monitor network activity and troubleshoot anomalies. Analyze network traffic for optimization and risk assessment. Recommend upgrades to improve performance and reliability. Support network security initiatives (e.g., intrusion detection). Document network architecture and incident reports. Required Skills & Qualifications: Solid understanding of network protocols (TCP/IP, BGP, OSPF). Experience with analysis tools (Wireshark, Nmap, SolarWinds). Knowledge of firewalls, VPNs, IDS/IPS systems. Familiarity with scripting for automation (Python, Bash). Relevant certifications (e.g., CCNA, CompTIA Security+). Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Job Title - S&C Global Network - AI - Retail - AI/Gen AI Retail Analyst Management Level:11 - Analyst Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Strong understanding of retail industry Ability to work with large datasets from different sources (e.g., transactional data, customer data, social media data) and data preprocessing techniques. Proficiency in supervised and unsupervised learning algorithms Proficiency in Python, with experience using libraries such as pandas, scikit-learn, and NumPy. Exposure to deep learning frameworks like TensorFlow, PyTorch, or Keras. Basic understanding of LLMs, NLP, and prompt engineering. Good to have skills: Familiarity with SQL, NoSQL databases, and big data technologies like Spark for handling large-scale data. Familiarity with transformer-based models such as BERT, GPT, and T5 for understanding and generating human language. Experience with Generative Pre-trained Transformers (GPT) Experience with Data Visualization Tools Job Summary : We are looking for a highly motivated AI / GenAI Retail Analyst to join our data science and AI team. In this role, you will play a key part in building and implementing AI-driven solutions that enhance customer experience, streamline operations, and drive business outcomes in the retail sector. You'll work closely with cross-functional teams to extract insights from data and support the development of generative AI applications. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Design, develop, and implement AI algorithms (machine learning, deep learning, etc.) and generative models (e.g., GPT, GANs) tailored to the retail sector. Focus on the creation of AI models that can help in wide range of use cases across customer lifecycle, personalized customer experiences, optimize pricing, and product assortment. Analyze and preprocess large datasets from various sources (sales data, customer data, inventory data) to build effective AI models. Translate data insights into actionable strategies for marketing, merchandising, and customer experience teams. For example, identifying cross-selling opportunities or optimizing product assortments. Build dashboards, visualizations, and reports to communicate findings, model performance, and business impact to stakeholders. Professional & Technical Skills : Expertise in machine learning, natural language processing (NLP), and generative AI models. Experience with platforms like TensorFlow, PyTorch, and OpenAI technologies. Knowledge of AI ethics and responsible AI practices. Additional Information: About Our Company | AccentureQualification Experience: Minimum 1-2 year(s) of relevant experience is required Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field

Management Level: Ind & Func AI Decision Science Consultant Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 3-6 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 3-6 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 3-6 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

As a Network Engineer, you will be responsible for designing, implementing, and managing LAN/WAN infrastructure using Cisco routers and switches. Your role will involve configuring and troubleshooting routing protocols such as OSPF, EIGRP, and BGP, as well as VLANs. It will be essential to maintain network performance through regular monitoring and analysis, and implement network security measures including firewalls, VPNs, and ACLs. In this position, you will provide Level 2/3 support, troubleshoot network outages, and address performance issues effectively. You will also oversee the management of Cisco wireless infrastructure and network hardware lifecycle. Collaboration with IT and support teams for project implementation and changes will be a key aspect of your responsibilities. Ensuring that documentation is up to date for all network diagrams, configurations, and processes will also be part of your duties. To qualify for this role, you should have a Bachelor's degree in Computer Science, IT, or a related field. Possessing a Cisco Certification such as CCNA is mandatory, while CCNP/CCIE certification is preferred. The ideal candidate will have at least 2 years of experience in a network engineering role and a strong understanding of Cisco IOS, network protocols, and security practices. Familiarity with monitoring tools like SolarWinds and PRTG will be advantageous. Good communication skills and the ability to work both independently and as part of a team are also required. This is a full-time position with benefits that include health insurance and a provident fund. The work schedule is during day shifts with the potential for performance bonuses. The job requires in-person work at the specified location.,

The Impact you will have in this role: Senior Platform Engineer (Senior - Network Observability Engineer) in Network Observability will be responsible for Administering and Leading the DTCC Network Infrastructure Monitoring tools. This role will partner with the Network Observability Engineering team to ensure that ensure monitoring and instrumentation are properly configured in all critical locations of the Network. The role will work closely with DTCC Network Operations and Network Engineering teams to understand troubleshooting challenges and translate the challenges into action plans using Topology analysis and visualization using a suite of tools at DTCC. Your Primary Responsibilities: Data collection: Gather information from network devices like routers, switches, firewalls, servers, and endpoints. This data includes network traffic, log files, SNMP MIB file maintenance and device statistics. Data analysis: Use advanced analytics to process and analyze the data to identify patterns, anomalies, and trends. Documentation: Create documentation, schematics, templates and presentations for operational use, management and collaborators.Ensure Disaster Recover Steps and High Availability principles are maintained at all times. Troubleshooting: Use the data to identify root causes of issues and fix complex connectivity issues. Visualization: Create custom dashboards and visual representations to gain insights from the data. Collaboration: with Engineering and Operations teams to ensure end to end support for design, implementation, and operations. Solutions should support end to end success. Improving User Experiences: Observability engineers identify areas for improvement in user experiences by analyzing telemetry data, optimizing performance, and reducing bottlenecks Qualifications: Minimum of 6 years of related experience Bachelor's degree preferred or equivalent experience Talents Needed for Success: Fosters a culture where integrity and transparency are encouraged. Stays ahead of on changes in their own specialist area and seeks out learning opportunities to ensure knowledge is up-to-date. Invests effort to individually coach others. Builds collaborative teams across the organization. Communicates openly keeping everyone across the organization informed. Specific Skills & Technologies Participate in Network Engineering System Design and Implementation Projects to ensure observability principles are applied to every project. Provide insights and guidance on telemetry requirements, instrumentation strategies, and best practices to ensure observability is built into the system from the ground up. Partner with Observability Engineers to develop dashboards and routines to constantly provide an overview of the health of the DTCC network ensuring business readiness at all times. Solid understanding in technologies like: Splunk, NetBrain, OpenText tools suite, SolarWinds, Event Management Tools, syslog, Network Analysis Tools, Gigamon Packet Directors, SNMP, and Packet Capture tools. Advance knowledge of networking monitoring protocols, such as: SNMP v3, netflow, etc. Extensive experience managing an NPM/APM tool like NNMi, SolarWinds, etc is required. Ability to supervise and analyze performance of Network systems using a diverse set of Network Capabilities and a variety of tools. Strong Network Troubleshooting skills in a Network Campus & Data Center environment. Ability to help solve sophisticated challenges using modern Network Monitoring, Observability, alerting, reporting, dashboarding technologies.

The Impact you will have in this role: Senior Platform Engineer (Senior - Network Observability Engineer) in Network Observability will be responsible for Administering and Leading the DTCC Network Infrastructure Monitoring tools. This role will partner with the Network Observability Engineering team to ensure that ensure monitoring and instrumentation are properly configured in all critical locations of the Network. The role will work closely with DTCC Network Operations and Network Engineering teams to understand troubleshooting challenges and translate the challenges into action plans using Topology analysis and visualization using a suite of tools at DTCC. Your Primary Responsibilities: Data collection: Gather information from network devices like routers, switches, firewalls, servers, and endpoints. This data includes network traffic, log files, SNMP MIB file maintenance and device statistics. Data analysis: Use advanced analytics to process and analyze the data to identify patterns, anomalies, and trends. Documentation: Create documentation, schematics, templates and presentations for operational use, management and collaborators.Ensure Disaster Recover Steps and High Availability principles are maintained at all times. Troubleshooting: Use the data to identify root causes of issues and fix complex connectivity issues. Visualization: Create custom dashboards and visual representations to gain insights from the data. Collaboration: with Engineering and Operations teams to ensure end to end support for design, implementation, and operations. Solutions should support end to end success. Improving User Experiences: Observability engineers identify areas for improvement in user experiences by analyzing telemetry data, optimizing performance, and reducing bottlenecks Qualifications: Minimum of 6 years of related experience Bachelor's degree preferred or equivalent experience Talents Needed for Success: Fosters a culture where integrity and transparency are encouraged. Stays ahead of on changes in their own specialist area and seeks out learning opportunities to ensure knowledge is up-to-date. Invests effort to individually coach others. Builds collaborative teams across the organization. Communicates openly keeping everyone across the organization informed. Specific Skills & Technologies Participate in Network Engineering System Design and Implementation Projects to ensure observability principles are applied to every project. Provide insights and guidance on telemetry requirements, instrumentation strategies, and best practices to ensure observability is built into the system from the ground up. Partner with Observability Engineers to develop dashboards and routines to constantly provide an overview of the health of the DTCC network ensuring business readiness at all times. Solid understanding in technologies like: Splunk, NetBrain, OpenText tools suite, SolarWinds, Event Management Tools, syslog, Network Analysis Tools, Gigamon Packet Directors, SNMP, and Packet Capture tools. Advance knowledge of networking monitoring protocols, such as: SNMP v3, netflow, etc. Extensive experience managing an NPM/APM tool like NNMi, SolarWinds, etc is required. Ability to supervise and analyze performance of Network systems using a diverse set of Network Capabilities and a variety of tools. Strong Network Troubleshooting skills in a Network Campus & Data Center environment. Ability to help solve sophisticated challenges using modern Network Monitoring, Observability, alerting, reporting, dashboarding technologies.

Location: Noida, India Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure. As an AWS Cloud Ops Engineer for the Cloud Center of Excellence team located in Singapore, you will be driving improvements across a global organization to ensure internal customers receive world class support on AWS Thales public cloud infrastructure. A week in the life of an AWS Ops Engineer: Supporting the company-defined AWS cloud strategy. Enjoying solving problems, working with customers, and have technical backgrounds from a variety of different fields Collaborating and working very closely with Site Reliability Engineering and Security teams. Providing general guidance on questions from internal customers to troubleshooting and reproducing complex performance issues Understanding of infrastructure monitoring, logging, alerting release and configuration management Actively participating in change and incident management processes and coordinating several stakeholders. Ensuring day to day world class support to internal engineering and services teams. Analyzing and solving operational problems across functional components Making sure about continuous Gemalto AWS cloud improvements. Knowledge, Skills and Experience: To succeed at this job, you must have a strong customer focus and prior experience as a Cloud Operations Engineer or DevOps Engineer. You must have past experiences on Linux/Windows based OS, experience in monitoring/logging like Splunk. We would like someone to join our team who will have a strong customer focus and who is comfortable in an ambiguous, ever changing environment. Have experience with incident and change management process. We are looking for someone with excellent network analysis fundamentals, robust troubleshooting skills with large scale customer support systems and processes