110 Network Analysis Jobs

Take this exciting opportunity to join our global professional team at Ericsson as a Network Engineer This dynamic role not only involves analysis, auditing, design, and optimization of telecom networks but also spans various domains such as RAN, Transport, Core, OM and Services Networks Our Network Engineer is a crucial part of our process ranging from early engagement, pre-sales of services and networks, to service delivery and acceptance This role demands a deep technical understanding to deliver high-quality network design, advanced technical network analysis, role in pre-sales tasks, proficiency with Ericssons cutting-edge analytics solutions, a commitment to driving innovation, and an emphasis on customer-focus and quality service delivery What you will do: - Analyse, identify and suggest solutions to technical problems within multiple domains. - Engage in dialogue with customers to identify areas of improvement and technological challenges. - Gather customer requirements directly or through Request for Quotations (RFQ). - Define the scope of work for a design or optimization service. - Estimate the cost of sales for service proposals, including workforce, tools, travel, and expenses. - Document and present a detailed service offering that underscores customer value. - Adapt to new working methodologies, specifically in data usage and analytics tools and frameworks. The skills you bring: - network design and optimization. - Innovation. - Consultative Skills. - Applying Expertise and Technology. - Change and Improvement Management. - Automation. - Network Performance. - Service Delivery Business Understanding. - Knowledge Sharing and Collaboration Skills. - Data Analytics. - Financial Acumen. - Stakeholder Management. - Ericsson Portfolio. Why join Ericsson At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what s possible. To build solutions never seen before to some of the world s toughest problems. you'll be challenged, but you won t be alone. you'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

Take this exciting opportunity to join our global professional team at Ericsson as a Network Engineer This dynamic role not only involves analysis, auditing, design, and optimization of telecom networks but also spans various domains such as RAN, Transport, Core, OM and Services Networks Our Network Engineer is a crucial part of our process ranging from early engagement, pre-sales of services and networks, to service delivery and acceptance This role demands a deep technical understanding to deliver high-quality network design, advanced technical network analysis, role in pre-sales tasks, proficiency with Ericssons cutting-edge analytics solutions, a commitment to driving innovation, and an emphasis on customer-focus and quality service delivery What you will do: - Analyse, identify and suggest solutions to technical problems within multiple domains. - Engage in dialogue with customers to identify areas of improvement and technological challenges. - Gather customer requirements directly or through Request for Quotations (RFQ). - Define the scope of work for a design or optimization service. - Estimate the cost of sales for service proposals, including workforce, tools, travel, and expenses. - Document and present a detailed service offering that underscores customer value. - Adapt to new working methodologies, specifically in data usage and analytics tools and frameworks. The skills you bring: - network design and optimization. - Innovation. - Consultative Skills. - Applying Expertise and Technology. - Change and Improvement Management. - Automation. - Network Performance. - Service Delivery Business Understanding. - Knowledge Sharing and Collaboration Skills. - Data Analytics. - Financial Acumen. - Stakeholder Management. - Ericsson Portfolio.

As a Cloud Operations Engineer for the Cloud Center of Excellence team located in Singapore, you will be carrying out pro-active operations activities across a global organization to ensure internal customers receive world class support on AWS Thales public cloud infrastructure. A week in the life of a Cloud Operations 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. Making sure about continuous Thales 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 DataDog. 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

Job Title : RF Engineer Total Year of Experience : 3 + years of experience Educational Background: BE/BTech-ECE/EEE or ME/MTech-RF & Microwave specialization Job Location : Bangalore Job Description Tests Satellite Payload Systems (Digital & Analog) independently Tests RF & Microwave components & devices Prepares test plans and test procedures as per ISRO / ISO standards Exposure in RF & MW testing domain up to frequency of 40 GHz Experience in testing RF and Microwave components & Devices Able to handle RF & Microwave Test Equipments like Spectrum Analyzer, Signal Generator, Oscilloscope, Power Meter, Network Analyzer (Scalar/Vector). A practical and logical approach to problem-solving Effective time management and organizational skills Strives for team & individual goals, Proactive approach, Openness and flexibility Organization & presentation skills, Good team working skills Good written and verbal communication skills Immediate joiners are preferred Interested candidates are requested to share the updated cv to arunkumarc@tataadvancedsystems.com Regards HR Team

Hands-on expertise in designing & implementing LAN/WAN/WLAN, firewalls, switches, routers, SD-WAN & Azure. Skilled in config, patching & support with Cisco, Fortinet, TCP/IP, BGP, OSPF, SolarWinds. Certs: CCNA/CCNP, Fortinet NSE5/6.

Job Description for Technical Sales Support Professional for Cybersecurity Business Job Title: Technical Sales Support Professional for Cybersecurity business (OT & IT) Location: Gurgaon Business Unit: Electrification and Automation Customer Services Experience Level: 510 Years Job Type: Full-Time PL Level: PL 9 Industry: Energy / Power / Industrial Automation Business Unit: Smart Infrastructure Electrification & Automation, Customer Services We are seeking a highly skilled and experienced Cybersecurity professional to join our Customer Services team in the Electrification and Automation (EA) Business Unit. The ideal candidate needs to have a strong background in cyber security, with focus on operational technology environments. The primary role involves generating leads in the market & working as a Cyber Security Proposal Engineer, responsible for scaling cybersecurity business exponentially. The job demands comprehensive preparation from Opportunity development to Order Acquisition in line with business processes for the aforementioned solutions: Cybersecurity Audit Vulnerability Assessment & Penetration Testing and recommending mitigation measures Secure migration of protection & automation systems Intrusion Detection System (IDS) & Intrusion Prevention System (IPS) Security Information & Event Management (SIEM) Security Orchestration, Automation, and Response (SOAR) User and Entity Behavior Analytics (UEBA) Network Detection and Response (NDR) Security Operation Center (SOC) Role Base Access Control (RBAC) & Active Directory (AD) Antivirus and Whitelisting System Hardening Required Qualification & Experience Successfully completed degree in B-Tech/B.E. in Electrical & Electronics / Electronics & Communication/ Computer Science or comparable training with relevant professional experience of minimum 5 years in the field of Cyber Security. The Candidate must have knowledge on ISO 27001, IEC 62443 and implementation of the same, the certified candidate shall be having the preference. The candidate has hands-on experience in cyber security solutions SIEM, SOAR, UEBA, NDR, SOC, IPS/IDS, RBAC, AD, Hardening, Antivirus deployment. The Candidate must have knowledge on handling Ethernet Switches, Firewalls and Routers. The Candidate must have knowledge of OT systems and communication protocols. The candidate must have Knowledge of topics such as patch management, Vulnerability Assessment, network analysis and automation. The candidate having relevant cyber security certifications such as NNCE, IEC62443, CISSP, CISM, CEH, or GICSP shall be having the preference. The Candidate must have knowledge on different other Cyber Security aspects such as Secure Architecture, Secure Remote Access and Methodologies to protect endpoints. The candidate must have good communication and presentation skills. Soft Skills & Attributes Strong customer orientation with problem-solving and advisory mindset. Excellent communication and presentation skills. Ability to work independently and in cross-functional teams across global environments. Willingness to travel (national and occasionally international) as per project requirements. WEVE GOT QUITE A LOT TO OFFER, HOW ABOUT YOU?

About The Role Job Title - S&C GN - Data Science Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualification Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Masters degree with 2+ years of experience, OR Bachelors degree with 3+ years of experience.

About The Role Job Title - S&C GN - Data Science Sr Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualification Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Masters degree with 2+ years of experience, OR Bachelors degree with 3+ years of experience.

About The Role Job Title - S&C Global Network - AI - DE MMM - Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Data Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20k+ smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. What you would do in this role A Consultant/Manager for Customer Data Platforms serves as the day-to-day marketing technology point of contact and helps our clients get value out of their investment into a Customer Data Platform (CDP) by developing a strategic roadmap focused on personalized activation. You will be working with a multidisciplinary team of Solution Architects, Data Engineers, Data Scientists, and Digital Marketers. Key Duties and Responsibilities: Be a platform expert in one or more leading CDP solutions. Developer level expertise on Lytics, Segment, Adobe Experience Platform, Amperity, Tealium, Treasure Data etc. Including custom build CDPs Deep developer level expertise for real time even tracking for web analytics e.g., Google Tag Manager, Adobe Launch etc. Provide deep domain expertise in our clients business and broad knowledge of digital marketing together with a Marketing Strategist industry Deep expert level knowledge of GA360/GA4, Adobe Analytics, Google Ads, DV360, Campaign Manager, Facebook Ads Manager, The Trading desk etc. Assess and audit the current state of a clients marketing technology stack (MarTech) including data infrastructure, ad platforms and data security policies together with a solutions architect. Conduct stakeholder interviews and gather business requirements Translate business requirements into BRDs, CDP customer analytics use cases, structure technical solution Prioritize CDP use cases together with the client. Create a strategic CDP roadmap focused on data driven marketing activation. Work with the Solution Architect to strategize, architect, and document a scalable CDP implementation, tailored to the clients needs. Provide hands-on support and platform training for our clients. Data processing, data engineer and data schema/models expertise for CDPs to work on data models, unification logic etc. Work with Business Analysts, Data Architects, Technical Architects, DBAs to achieve project objectives - delivery dates, quality objectives etc. Business intelligence expertise for insights, actionable recommendations. Project management expertise for sprint planning Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

About The Role Job Posting Title: CIO Security and Application Engineer Management Level: 10-Senior Analyst Location: Pune/ Bengaluru/ Hyderabad Job description: We are seeking an experienced Security and Application Engineer to lead the successful mobilization and delivery of Access Control & CCTV Technology Projects. This role involves supporting enterprise-level application selection and implementation, including migrating from legacy systems. The incumbent will implement physical security standards in Accenture facilities and provide essential support to Global Assistance and Protection (GAP) business partners, vendors, and facilities team members. Responsibilities include delivering security projects within a complex corporate environment that values collaboration, independent thinking, proactive problem-solving, integrity, efficiency, and continuous organizational transformation. Responsibilities/Accountabilities: Responsible for leading the global team for day-to-day operations of access control, security video, and mass notification systems. Responsible for identifying talent / experience gaps within the team and creating a global plan to improve overall operational support and business resiliency. Responsible for ensuring completion of system projects, including requirements gathering, system / solutions design, deployment within agreed deadlines and budget, and any potential issues escalated in line with internal policy while maintaining the clients best interests. Initial consultation with clients to develop the client requirements / scope of works. Act as a point of escalation for the group both technically and operationally. Prepare an outline and detailed enterprise architecture, solutions design, and associated documentation. Prepare technical specifications, solutions design information, system schematics, etc. Support the system implementation / deployment activities, including active involvement in the set-up, programming, configuration, and implementation activities. Support commissioning activities and project completion activities. About Our Company | Accenture Qualification Job Qualifications: A bachelor's degree in engineering or computer science or related field or an associates degree or equivalent with sufficient experience. 2+ years experience in physical security systems in projects and software house products service support. They should be well conversant with TCP/IP protocols, network/security applications, network analysis, and common applications. Preferred - CCURE Level 2 - 4 Certification, must have CCURE Level 1 with industry experience. Genetec Security Center 5.x Omnicast (Video) Technical Certification. Genetec Mission Control Admin Training. Knowledge of Physical Security Information Management. Knowledge of Application Security, expertise in Assistance and Protection components including Physical Access Security, Remote Monitoring, Alert Management, Security Operations Center Delivery / Support, managing incident, troubleshooting, testing of incident, automated workflow ticketing systems support and networking principles.

Who We Are MassMutual India Since 1851, MassMutual s commitment has always been to help people protect their families, support their communities, and help one another. Therefore, we want to inspire people to Live Mutual. We at MassMutual value diversity and inclusion. We re people helping people A career with us means you will work alongside exceptional people and be empowered to reach your professional and personal goals. Our employees are the foundation of what makes MassMutual a strong, stable, and ethical business. We seek and value unique and varied perspectives and experiences because we believe we are stronger when all voices are heard. We invite you to bring your bright, innovative ideas to MassMutual as we continue to help millions of Americans rely on each other. Together, we re stronger. Job Description Expert in Endpoint & Network analysis, to include analysis of relevant logs and data, and background using a variety of analysis tools like EDR, SIEM, Firewall, Proxy, OSINT tools etc Ability to think like an adversary when hunting and responding to security incidents Must perform static and dynamic malware analysis to understand the nature of malware Knowledge on latest TTP s, Vulnerabilities, red team toolsets Ability to lead an investigate an incident starting from detections until post incident activity Passion to learn, as well as a dedication and self-driven desire to keep abreast of latest cybersecurity threats and hacking techniques Advanced problem-solving skills, and the desire to get your hands dirty Strong verbal, written, and interpersonal communication skills Experience in shellcode analysis and payload analysis Knowledge on core Windows/Linux platforms Expert in AWZ, Azure incident response Should have fair amount of scripting/programming language Should understand disassembly language and use of tools like Gidhra, x64 debugger, Ole debugger Why Join Us We ve been around since 1851. During our history, we ve learned a few things about making sure our customers our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products, and services. To accomplish this, we celebrate an inclusive, vibrant, and diverse culture that encourages growth, openness, and opportunities for everyone. A career with MassMutual, Great Place to Work certified and Indias Best Workplaces in BFSI 2023 - Top 50 organization means you will be part of a strong, stable, and ethical business with industry leading pay and benefits. And your voice will always be heard. Does this sound like a great fitApply today!

Good Knowledge in Cabling and passive design

As the leader in cloud-managed IT, Cisco connects passionate people to their mission by simplifying the digital workplace. Our impact is driven by the innovative, purposeful, and vibrant people who make up our inclusive community. When technology is intuitive, our customers can focus on what matters! As a member of the Device Trust Assurance team, you will have a substantial impact on the security of millions of Cisco devices all around the world. We are looking for people who are passionate about security and eager to learn the ropes of vulnerability management (reporting, triaging, and driving remediation). The Vulnerability Management Engineer plays a critical role in ensuring the security of our systems by managing and mitigating vulnerabilities. Key responsibilities include reviewing vulnerability scanning reports, assessing severity, and triaging vulnerabilities, along with efficiently managing Jira tickets to facilitate timely remediation or mitigation. This role requires utilizing tools such as Vigiles, yocto CVE scanner to conduct vulnerability scanning and analysis, and implementing a risk-based prioritization method for effective management. Leading process optimization efforts by identifying gaps in the vulnerability management workflow and enhancing program efficiency is also essential. Collaboration with an international security organization as well as engineering teams is necessary to provide guidance on mitigating and remediating vulnerabilities, identify and report automation bugs, and contribute to solutions that reduce manual workload in the vulnerability management lifecycle. The role involves investigating vulnerability alerts, assessing their impact, and calculating severity scores based on attack complexity. Additional duties include maintaining scanning tools, reviewing CVEs for potential risk exceptions, and guiding teams on security best practices and patch management standards. Flexibility to work across different time zones is crucial for effective global collaboration and system security. Qualifications: - 4+ years in vulnerability management or network security with a strong focus on Cisco technologies - Experiences in Cisco IOS-XE architecture, including kernel components and security mechanisms - In-depth knowledge of common Security vulnerabilities (OWASP Top 10, CWE Top 25) - Proficiency with vulnerability scanning tools (Semgrep, blackduck, vigiles, yocto cve scanner) and firmware analysis - Ability to trace through Linux kernel configuration systems (KCONFIG) and interpret Makefiles - Strong C programming skills and understanding of conditional code compilation - Experience with scripting languages (Python, Bash) and network analysis tools (Wireshark) - Proven ability to collaborate effectively across global teams and multiple time zones - Consistent track record to ship in a dynamic environment - Experience using Jira and other Atlassian software - Strong documentation skills and ability to present complex technical findings clearly Bonus points for: - Cisco security certifications (CCNA/CCNP Security) and cybersecurity credentials (CISSP, CEH) preferred - Knowledge of networking protocols and security frameworks (NIST, ISO 27001) - Bachelor's degree in Computer Science, IT, or related field Does this sound like you We would love to hear from you. We encourage you to drop us a line even if you don't have all the points above. That's a lot of different areas of responsibility! We will help you pick them up because we believe that great leaders come from a diverse set of backgrounds. At Cisco Meraki, we're challenging the status quo with the power of diversity, inclusion, and collaboration. When we connect different perspectives, we can imagine new possibilities, inspire innovation, and release the full potential of our people. We're building an employee experience that includes appreciation, belonging, growth, and purpose for everyone.,

As the Senior Manager - Secondary Logistics at Parle Agro, you will be responsible for managing Distribution Planning, Dispatch Planning & Secondary Logistics operations across the country in real time. Your role will involve generating and providing inputs for long term infrastructure and operations execution. You will oversee the pan India Secondary Distribution network of Parle Agro, which includes 57 CFA locations and Depots, leading a team of Regional Logistics resources. Providing Systems and Process framework for Secondary Distribution operations in coordination with customer departments will be a key aspect of your responsibilities. Critical analysis and workings to support management decision making, including budgeting, production planning, Plant capacity utilization, and augmentation, will be part of your role. You will also contribute qualified inputs for the creation and implementation of various SoPs for day-to-day operations at the Depots and CFA. Your responsibilities will include providing design and implementation support for Information systems aligned with the SoPs, as well as developing and implementing cost-saving initiatives such as warehouse consolidation and direct dispatch to achieve optimal service cost without compromising service time lines and levels. Additionally, you will be expected to provide Secondary Cost MIS along with variance analysis, focus areas for cost reduction, and CFA performance metric measurement and appraisals with regular reviews. Monitoring and ensuring Quality and stock audits at the CFA/Depots, along with closure of NCs through follow up, will be part of your tasks. Long term Demand planning and Operations management will require utilizing various forecast techniques to generate and maintain expected demand plans for at least 2-3 years with inputs from stakeholders. Network Analysis and Cost working for optimization will involve conducting a complete Network Analysis of existing and required Depot locations to achieve Sales growth objectives at optimal costs. Logistics and Operations Management responsibilities will include tracking costs (Budget Vs. Actual) and providing corrective action inputs, negotiating freights with Transport contractors based on company guidelines, and negotiating with CFAs for Fixed and Variable Costs with market inputs. If you are a candidate interested in this challenging role, please share your resume at shalaka.ingale@parleagro.com.,

About The Role Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Responsible AI COE Title :- Responsible AI Specialist/ Sr. Analyst Job location :- Bangalore/Gurgaon/Pune/ Hyderabad/Chennai/Mumbai The rapid development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. As a result, it is also raising new questions about the best way to build fairness, interpretability, privacy and security into these systems. The Data and AI revolution is changing everything. Its everywhere transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate, and deliver value provides an unparalleled opportunity to grow and advance. Accentures S&C Global Network Data & AI team covers the range of skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with our broader Strategy and Consulting practice, we bring a unique ability to drive end to end business change through the application of Data and AI. At the forefront of the industry, youll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. Were not just focused on increasing revenues our technologies and innovations are making millions of lives easier and more comfortable. But above all, were doing this responsibly and inclusively to make sure AI technology is used equitably and in a way that is both ethically and technically sound. Join us and become an integral part of our global Responsible AI team with the credibility, expertise and insight clients depend on. There will never be a typical day at Accenture, but thats why people love it here. You will be working with famous brands and household names no worrying about how to explain what you do to your family again! We are looking for experienced and motivated individuals who will be a part of the Responsible AI Centre of Excellence (COE) within Accenture to join our multi-disciplinary Responsible AI team . We are committed to help people build AI products/solutions/services in a responsible and trustworthy manner. The ideal candidate should have a strong client-facing consulting background in data science/analytics with an ability to pick up new technologies very quickly . He/she will be passionate about understanding the impact of AI systems on people and society and will have a track record in using tools to undertake assessments such as Fairness/Bias, Explainability, Model Validation and Robustness, to assess model behaviour through a Responsibility lens. Being a part of Accenture will help you grow both professionally and personally as you help shape our thinking and approaches to Responsible AI, working alongside world-class academics, industry leaders and practitioners. Responsible AI is a key strategic priority for Accenture and were looking for the very best in the field to help us meet our ambitious goals in this space. Responsibilities: As a client-facing in Responsible AI, you will consult with Accentures clients on how todesign & develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI & machine learning. You will also be expected to contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design. As part of our team, you will Be a subject matter expert on technical aspects of Responsible AI & Data Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises Conduct research on Responsible AI policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc. Bring a strong conceptual understanding of Responsible AI, principles & tools with experience of using these tools in close collaboration with internal and external stakeholders/clients Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI Develop a clear understanding of clients business issues to adopt the best approach to implement the Responsible AI Framework Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives & competitive constraints Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments Leading diverse and well-qualified RAI team. Qualification Skillset Requirements: Education :- PhD / Masters / Bachelors degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 3 10 years of Hands-on Data science experience in solving real life complex business problems Minimum 1 years experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning clustering techniques Recommender Systems Reinforcement Learning Deep Learning Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

About The Role Job Title - S&C Global Network - AI - Healthcare Analytics - Senior Analyst Management Level: 10-Senior Analyst Location: Gurgaon/Bangalore/Mumbai Must-have skills: Phython, Spark,SQL, Tableau, Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU? Conduct data wrangling and analysis on healthcare claims, provider datasets, and publicly available health data. Develop predictive models using data science and AI techniques to address client needs. Utilize natural language processing (NLP) capabilities to extract insights from unstructured data sources. Collaborate with cross-functional teams to implement analytics solutions effectively. Translate complex data findings into clear, concise, and actionable strategies. What you would do in this role Work with Managers to get Client's business requirements and deliver Analytics driven solution. Duties and Responsibilities: Sr. Data Scientist responsible for generating actionable recommendations well-supported by quantitative analysis to help our clients address their ongoing problems. Present analytic findings & opportunities for improvement to senior management and summarize key findings, and aid in the dissemination of metrics throughout the organization. Build knowledge base and disseminate information on applications of variety of analytical techniques. Develop statistical models and delivery of analytic offerings and solutions in health domain areas. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Experience in resolving complex data issues in creative and effective ways. Strong people management skills both at client site and an offshore environment Excellent communication skills and ability to interact with all levels of end users, stakeholders, and technical resources. Adept with using Statistical (like forecasting/modeling, optimization models), Machine Learning (GBM, Decision Trees etc.), AI techniques (Deep Learning) Good exposure to consulting experience/basic understanding of business problems and suggesting solutions. Technical Skills: Proficient in data handling suites PYTHON, Spark, SQL, or similar packages Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical businesspeople. Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of health care business for providers / payers/Public health systems Experience working with cloud providers (e.g. AWS, Azure, GCP) Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5 Years in Healthcare Analytics Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

About The Role Job Title - S&C GN - Data Science Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualification Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Masters degree with 2+ years of experience, OR Bachelors degree with 3+ years of experience.

About The Role 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.

Systems engineering is a cross-functional engineering discipline centered on an approach, mindset, and process. All activities that consider both the business and the technical needs of the customers with the goal of providing a quality product that meets the user's needs. Lead system engineer is responsible for Design engineering and coordination/key technical interface to customer and vendors in execution of EMS/Sub-station automation/Marine/O&G/Power Projects in time, quality and budget. Lead System engineer will also closely work with service organization to ensure that new developments are aligned with business strategy and are compliant with latest regulation and standards. Essential Responsibilities : Basic and Detailed engineering for EMS/SAS based projects and solutions. Experience on Microgrid/BESS based projects and solution will be an added advantage. Knowledge and experience on complex network topologies, switch configuration, Routers, etc. Knowledge on configuration of Network protocols such as RSTP, PRP, MRP and SNMP Knowledge on Integration, configuration, simulation, and analysis of substation communication protocols such as IEC 61850(MMS/GOOSE), IEC 60870-5-101,104, DNP3.0, Profinet, OPCUA, OPCDA and Modbus. Knowledge on Time synchronization (NTP, PTP) Knowledge and experience on simulation tools like DTM, IED scout, Test suite pro, Modsim. Knowledge and experience in network analyzing/Network storm testing tools PLC Programming with Function blocks, Structure Text and Sequential flow chart for Power Management Applications Proficient in preparing SLD, Schematics, Network Architecture, BOM and reports. Knowledge in PLM is preferable. Knowledge on programming (Python , Embedded C , Any C# ) is preferred. Knowledge and experience on Electrical Power Management System (EPMS), Generator Management system (GMS), Load Sharing and Load shedding priorities is preferred. Knowledge on cybersecurity is preferred. Support the Business Verticals in creating and reviewing (in conjunction with the leadership team) systems solutions as part of the OTR process, ensuring that solutions are technically fit for purpose and that technical risk is understood and managed with contingencies identified. Lead project execution - Analyze customer's contract, prepare specifications to vendors and internal stake holders Prepare technical documentation as per contractual requirements, vendor documentation review Identify technical risks and put in place the mitigation plan Review solutions developed and identify opportunities for improvement of process, system, or equipment Ensure strict compliance with all company and customers EHS policies and procedures Identify and propose improvements in processes, tools, system solutions and technologies, rolling out improvements when agreed with leadership team. Foster relationship with other GE business entities to maximize the benefits of synergies. Liaise with Platform Engineering, Technology and Value Engineering, and Supply Chain as appropriate to support the project and the business. Liaise with other GE businesses, platform verticals, supply chain, sub-contractors and suppliers as appropriate to support the project and the business Drive lean mind set to provide optimum technical solutions for the projects. Comply with all company and customer health and safety regulations. Qualifications/Requirements : Degree level in Electrical engineering from reputed College/University. 10+ years of experience in Communication protocols, Networks, Protection relays, Controls in EMS / SAS Experience in capturing requirements and writing technical specifications Understanding of communication protocols (TCP socket and Serial communications, Knowledge of DNP3, IEC 61850 and IEC 60870-5-101 (IEC 101) protocols would be beneficial Knowledge of design principles and have the capability to write clear documentation Flexible, adaptable and enthusiastic approach, good great team mate and an effective communicator Previous experience in a similar or related role. Desired Characteristics : Strong oral and written communication skills, interpersonal skills Able to interface effectively with all levels of organization and external customers. Displays good interpersonal skills is accessible and approachable. Anticipates customer needs and ensures they are met Willingness to learn with passion Self-motivated, creative and a team player, with ability to come up with unique solutions to complex problems Capable of working with multi-disciplined international team with good personal organization skills. Ability to multi-task on a variety of projects to strict time scales Quickly identify best practices and apply them within the team Strong prioritizing and time management skills Willing to travel on short notice within base country and overseas for short/long term assignments Willing to work extended hours during the week, at weekends/holidays at critical times. Additional Information Relocation Assistance Provided: No

About The Role Management Level: Ind & Func AI Decision Science Analyst Level 11 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Professional & Technical Skills: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of NLP models, Large Language Models and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Location: Bangalore Department: InfoSec About Zybisys: At ZyBiSys , our success is driven by innovation and technical excellence. We deliver top-tier IT solutions and services, ensuring seamless connectivity and efficient infrastructure management for our clients. Additionally, we specialize in managing cybersecurity , information security , and compliance to safeguard our customers' digital environments. As we continue to grow, we are seeking skilled professionals to join our SOC Team . If you are passionate about information technology and eager to make a difference, we invite you to be part of our journey! Role Overview: A SOC-Analyst is the first line of defence in a Security Operations Center, responsible for monitoring, detecting, and responding to security incidents in real-time. Key Responsibilities: Monitoring & Alerting Use SIEM and EDR tools to continuously monitor system alerts and network traffic. Identify suspicious activities and indicators of compromise (IoCs). Incident Handling Perform initial triage of alerts and determine severity levels. Escalate incidents with clear documentation and context. Threat Investigation Investigate alerts for root causes and determine actionable steps. Analyze phishing attempts, flagged URLs, and suspicious file attachments. Documentation & Reporting Maintain detailed incident logs and generate regular security activity reports. Assist in creating playbooks and refining response workflows. Collaboration Work with IT teams to remediate vulnerabilities and support compliance audits. Participate in war-room discussions during critical incidents. Analytical Thinking Root cause analysis for distinguishing false positives from genuine threats. Ability to correlate data from diverse sources to identify complex attack vectors. Threat Intelligence Integration Leverage threat intelligence feeds to compare alerts with known signatures. Identify emerging threats and communicate insights to senior analysts. Technical Expertise Hands-on experience with SIEM platforms (e.g., Splunk, QRadar) and EDR tools (e.g., CrowdStrike, Carbon Black). Basic scripting knowledge for automating repetitive SOC tasks. Adaptability & Learning Stay updated on the latest cyber threats, tools, and techniques. Contribute to continuous improvement of SOC processes and detection capabilities. Interpersonal Skills Strong communication skills for effective coordination with cross-functional teams. Mentorship of junior team members to foster team growth and resilience. Qualifications: Education: - Tech degree or equivalent (B. Tech/MCA/BCA/M.Tech)] Required Key Skills Key Tools & Hands-on Experience Technical Proficiency Familiarity with SIEM platforms (Splunk, Azure Sentinel) and EDR tools (Microsoft Defender, Sentinel One). Basic understanding of IDS/IPS, vulnerability scanning tools (Nessus, Qualys), and packet analysis tools (Wireshark). Firewalls and Network Security Solid understanding of TCP/IP, DNS, DHCP, ARP, HTTP/HTTPS, and other protocols. Knowledge of packet capture and analysis tools like Wireshark or tcpdump. Operating Systems Windows: Event logs, registry analysis, PowerShell basics. Linux/Unix: Command-line utilities, syslogs, and basic shell scripting.( Bash , Python, etc ) Active Directory (AD) Vulnerability Management Basic understanding of vulnerability scanning tools like Nessus, Qualys, or OpenVAS. Knowledge of collecting and analyzing evidence (e.g., memory dumps, disk images). Certification: - Mandatory: Certified Ethical Hacker (CEH) Preferred: CompTIA Security+, Certified SOC Analyst (CSA), or GSEC. Communication Skills: Strong communication and documentation skills, with the ability to work collaboratively with other teams. Problem-Solving Ability Strong analytical and troubleshooting skills to address complex security incidents effectively. Shift Flexibility:- Willingness to work in shifts, including weekends and off-hours if required.

As a Senior Engineer or Engineer in IT Network with 3-5 years of industry-related experience, you will be responsible for designing and implementing functional network infrastructure including LAN, WLAN, and WAN. Your role will involve configuring and installing software, servers, routers, and other network devices. Monitoring network performance, integrity, and resolving issues related to troubleshooting cloud and local infrastructure will be crucial aspects of your responsibilities. In this role, you will also focus on automating tasks, monitoring their effectiveness, and mentoring team members on technical issues whenever required. Creating, overseeing, and testing security measures such as access authentication and disaster recovery will be an essential part of your duties. Communication with users as needed, maintaining comprehensive technical documentation, and suggesting improvements to network performance, capacity, and scalability are key responsibilities you will undertake. To excel in this position, you should have a solid background in network administration and architecture, an in-depth understanding of communication protocols (specifically TCP/IP) and routing protocols (e.g. BGP, OSPF), familiarity with access control models and network security, and knowledge of coding languages for scripting such as Python and Perl. Experience with network diagnostic, monitoring, and analysis tools like SolarWinds network tools, a strong understanding of network operating systems (JUNOS, Cisco IOS), sharp troubleshooting skills, the ability to work independently, as well as exceptional organizational and mentoring skills are required for this role. This is a full-time, permanent position located at the Head Office in Kondhanpur, Pune. The benefits include cell phone reimbursement, health insurance, paid sick time, paid time off, and Provident Fund. The work location is in person, and the application deadline is 02/03/2025.,

As a Senior Geospatial Technology Engineer at our organization, you will play a key role in technology, data, analytics, engineering, and science solutions related to location. You will be an integral part of the Geospatial team within the Oil and Gas Technology sector, working with cutting-edge technologies and their practical applications. Collaboration with Geospatial Subject Matter Experts (SMEs), Digital Product teams, and business partners will be essential to deploy and enhance Geospatial technology, data, and analytical solutions across various domains such as Production, Projects, Subsurface & Wells, Crisis Management, Renewables, and Refining. Your responsibilities will include: - Developing innovative solutions and procedures to enhance efficiency and quality within the geospatial team and across products. - Utilizing geospatial technology for configuration and connectivity, including cameras, handheld devices, AR/VR equipment, sensors, GPS, and drones. - Managing geospatial data effectively, using spatial databases, spatial access methods, coordinate reference systems, image processing, and more. - Conducting geospatial analysis, involving query operations, spatial statistics, data mining, network analysis, and optimization. - Visualizing spatial data through map design, graphic representation techniques, web-based maps, applications, and dashboards. - Handling reality collection data formats, 3D models, and data integration for visualization and analysis, utilizing tools like FME and Databricks. - Demonstrating expertise in data-related technologies/languages such as Python, R, and Java Script, along with proficiency in the ArcGIS Desktop and Enterprise suite of tools. To excel in this role, you should have: - A track record of developing innovative solutions, challenging conventional thinking, and applying data science techniques. - Strong communication skills to engage with technical and non-technical audiences effectively. - The ability to have a business impact on key performance indicators (KPIs) and drive continuous improvement. - A minimum of 8 years of experience in a similar role, coupled with a degree in GIS, Geospatial, Geospatial Survey, Geographic Science, Computer Science, or related fields. Join us at bp, a global energy business dedicated to reimagining energy for people and the planet. By 2030, we aim to help the world achieve net zero emissions while enhancing lives and fostering a diverse and inclusive environment. This role may involve up to 10% travel and is eligible for relocation within the country. It offers a hybrid working model combining office and remote work environments. If selected, your employment may be subject to local policy adherence, including background checks and medical reviews.,

Hands-on expertise in designing & implementing LAN/WAN/WLAN, firewalls, switches, routers, SD-WAN & Azure. Skilled in config, patching & support with Cisco, Fortinet, TCP/IP, BGP, OSPF, SolarWinds. Certs: CCNA/CCNP, Fortinet NSE5/6.

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance. Pay and Benefits: Competitive compensation, including base pay and annual incentive Comprehensive health and life insurance and well-being benefits, based on location Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). The Impact you will have in this role: Platform Engineer (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 4 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 likeSplunk, 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 asSNMP 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. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.