69 Network Analysis Jobs - Page 3

Project Role : Advanced Application Engineer Project Role Description : Utilize modular architectures, next-generation integration techniques and a cloud-first, mobile-first mindset to provide vision to Application Development Teams. Work with an Agile mindset to create value across projects of multiple scopes and scale. Must have skills : BlueYonder Transportation Management Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationJob Summary :We are looking for a skilled Blue Yonder TMOD Consultant with 815 years of functional experience in transportation modeling and supply chain network analysis. The ideal candidate should have a strong understanding of global transportation networks, cost structures, and experience using leading modeling tools to drive data-backed decisions.________________________________________Key Responsibilities:Analyze and model global transportation networks to optimize cost and service.Work closely with business and technical teams to gather requirements, define scenarios, and run simulations.Leverage tools like LLamasoft, Supply Chain Guru, and ideally Blue Yonder TMOD to perform network analysis and what-if scenarios.Interpret and present findings from transportation models to key stakeholders.Work on large datasets using Excel and Access DB to extract, analyze, and prepare data for modeling.Provide insights and recommendations to improve network design and cost efficiency.________________________________________Key Skills & Qualifications:35 years of functional experience in transportation modeling or network optimization.Strong understanding of global transportation networks and associated cost structures.Hands-on experience with modeling tools such as LLamasoft (Supply Chain Guru); experience with Blue Yonder TMOD is a strong plus.Proficient in data analysis using Microsoft Excel (advanced functions, pivot tables, charts) and Access DB.Excellent analytical, problem-solving, and communication skills.Ability to work independently in a fast-paced environment and manage multiple priorities. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : BlueYonder Transportation Management Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time educationJob Summary :We are looking for a skilled Blue Yonder TMOD Consultant with 815 years of functional experience in transportation modeling and supply chain network analysis. The ideal candidate should have a strong understanding of global transportation networks, cost structures, and experience using leading modeling tools to drive data-backed decisions.________________________________________Key Responsibilities:Analyze and model global transportation networks to optimize cost and service.Work closely with business and technical teams to gather requirements, define scenarios, and run simulations.Leverage tools like LLamasoft, Supply Chain Guru, and ideally Blue Yonder TMOD to perform network analysis and what-if scenarios.Interpret and present findings from transportation models to key stakeholders.Work on large datasets using Excel and Access DB to extract, analyze, and prepare data for modeling.Provide insights and recommendations to improve network design and cost efficiency.________________________________________Key Skills & Qualifications:35 years of functional experience in transportation modeling or network optimization.Strong understanding of global transportation networks and associated cost structures.Hands-on experience with modeling tools such as LLamasoft (Supply Chain Guru); experience with Blue Yonder TMOD is a strong plus.Proficient in data analysis using Microsoft Excel (advanced functions, pivot tables, charts) and Access DB.Excellent analytical, problem-solving, and communication skills.Ability to work independently in a fast-paced environment and manage multiple priorities. Qualification 15 years full time education

Back Network Implementation (Routing & Switching) Experience in network implementation (device configuration) Experience in deploying Software Define WAN (HPE/Cisco) Experience In HP Aruba Preferred Or Cisco Network Troubleshooting Knowledge on Troubleshooting L1 L7 of the OSI Model Network Migration / Network Refresh Experience in network migration in brown field environment Requirements Participate in network migration from current to new network (SDWAN) Participate in technical bridge during the migration Interface with on site technician and provide remote guidance Work with customer and support user acceptance testing Provide status report to the Project analyst / Project Manager Participate in Project meeting Develop network documentation Communication skills (Verbal & Written) Experience in working in a service provider environment Familiar with Bank infrastructure Education QualificationsBachelors degree or Cisco Certified Network Associate What We Offer Competitive salaries and comprehensive health benefits Flexible work hours and remote work options Professional development and training opportunities A supportive and inclusive work environment

Dear Candidate, We are hiring a Network Architect to design and implement high-availability, secure network infrastructure. Best suited for professionals with a passion for designing resilient network environments. Key Responsibilities: Design LAN/WAN, SD-WAN, and cloud network topologies Define policies for network security, segmentation, and traffic flow Work with cloud, data center, and hybrid environments Ensure high uptime and optimal performance across distributed systems Required Skills & Qualifications: Strong expertise in TCP/IP, routing, switching, VPNs, and firewalls Experience with Cisco, Juniper, or Arista network devices Familiarity with cloud networking (VPCs, Azure VNets, etc.) Bonus: Network certifications (CCNP/CCIE, AWS Advanced Networking) 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

Entity :- Accenture Strategy Consulting Team :- Strategy Consulting- Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About SC - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 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. Accenture will continually invest in your learning and growth. Youll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity 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. Develop and Manage Data within different layers of Snowflake environment. 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 Price/Promo optimization Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide junior resources. Should have strong communication skills. 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. Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualifications Who we are looking for Analyst with 2+ years Consultant with 4+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college 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 state space mixed-effect modeling techniques and optimization algorithms 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 Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Marketing Analytics Title :- Ind & Func AI Decision Science Analyst Level 11 Job location :- Gurgaon / Bangalore / Mumbai / Hyderabad About S&C Global Network - Data & AI :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. We enable our clients to achieve high performance through insights from data - insights that inform better decisions and help grow their business in entirely new ways through the power of Artificial Intelligence. From strategy to execution, Accenture works with organizations to develop advanced analytic capabilities. This includes everything from accessing and reporting on data to building and deploying predictive models and implementing Generative AI solutions. WHAT'S IN IT FOR YOU? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues who are pioneers in leveraging cutting-edge AI technologies, including Generative AI. 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. Accenture is committed to nurturing your growth and development. You'll have access to training and mentorship from seasoned professionals, empowering you to expand your skill set and stay at the forefront of industry trends. In S&C GN - Data & AI you will understand the importance of sound analytical decision-making, how each task contributes to the overall project objectives, execute projects that contribute directly to business performance improvement and utilize Generative AI to unlock new possibilities. Qualifications What you would do in this role: Harness the capabilities of Generative AI and Large Language Models (LLMs), to build innovative solutions. Define data requirements for leveraging Large Language Models (LLMs) Perform data cleaning, aggregation, analysis, and interpretation, while conducting thorough data quality assessments. Build and manage data pipelines, ensuring efficient data flow and processing. Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy. Evaluate model performance and iterate on improvements. Collaborate with cross-functional teams to integrate Generative AI and LLMs into end-to-end solutions, ensuring seamless deployment and scalability. Utilize cloud services from AWS, Azure, or GCP for development, training, and deployment of models. Stay updated on the latest advancements in Generative AI and explore new techniques and frameworks to enhance model capabilities and performance. Document methodologies, experiments, and findings to facilitate knowledge sharing. Collaborate closely with the team, consultants, and managers to align project objectives and deliverables. Create insights presentations and client-ready decks, effectively communicating findings and recommendations. Mentor and guide junior resources, fostering a collaborative and growth-oriented team environment. Demonstrate strong communication skills, both verbal and written, to effectively convey complex concepts and insights to stakeholders. Who we are looking for: Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Marketing or related disciplines with an excellent academic record 2+ years of experience in Data Science, preferably within the Marketing domain. Proficiency in Python and SQL. Proven experience in implementing Generative AI use cases. Hands-on experience working with at least one prominent Large Language Model (LLM). Familiarity with at least one cloud platform (AWS, Azure, GCP) for data storage, processing, and model deployment. Excellent communication and collaboration skills. Ability to think critically, solve problems creatively, and translate complex technical concepts into clear and concise language for both technical and non-technical audiences. Strong desire to learn and stay up to date on the latest advancements in Generative AI and Marketing Analytics.

Lead the migration from Ivanti SSL VPN to Netskope ZTNA, configure Netskope Web Proxy, provide Tier 2/3 support, and ensure secure access. Requires 5+ years in network security and expertise in Netskope solutions.

Management Level: Ind & Func AI Decision Science Analyst 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 1-3 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: 1-3 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 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

A Sr Information Security Engineer will be a part of the operations wing of Cybersecurity team at BMC. The Cybersecurity team at BMC is responsible for securing BMC IT infrastructure and assets from unauthorized access and to ensure countermeasures are in place against any cyber-attacks. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Security Engineering Participate in vendor identification and implement Cybersecurity tools for the team. Manage & maintain security tools & systems used for incident response. Create & maintain playbooks for responding to different types of security incidents. Security Monitoring Respond to escalations from the SOC on security alerts, eliminate false positives, triage significant security events based on impact and nature of the security incident, and escalate according to the established procedures. Continuously monitor and analyse security events & newly reported threats to proactively identify any opportunities for process enhancement. Review automated daily security reports of key security controls, identify anomalies and, escalate critical security events to the appropriate stakeholders and follow-up as required. Participate in internal & external security audits. Security Incident Response Conduct thorough investigative actions based on security events and remediate as dictated by standard operating procedures. Participate in all the phases of security incident response process, including detection, containment, eradication, root cause analysis and post-incident reporting. Collaborate with cross-functional teams as well as external vendors/customers/partners for incident response as required. Record detailed Security Incident Response activities in the Case Management System. To ensure youre set up for success, you will bring the following skillset & experience: Bachelors Degree or equivalent in IT or Computer Science. Security Trainings/Certifications (e.g. SANS, CDAC-DITISS). 3+ years of relevant SOC IR experience. Should be ready to work in 24x7 rotating shifts. Strong analytical and reasoning abilities. Motivation to identify and solve problems. Hands-on experience with SIEM & other cybersecurity tools like AV, EDR, Firewall, SOAR. System & Network Log Analysis. Whilst these are nice to have, our team can help you develop in the following skills: Good verbal and written communication skills. Familiarity with various Cloud & OS environments. Scripting, malware analysis, vulnerability & threat analysis.

Overview: An accomplished Network Engineer Level 3 with extensive experience in designing, implementing, maintaining, and troubleshooting complex network systems. Demonstrated expertise in working with a range of networking technologies and protocols, ensuring optimal performance, scalability, and security across large-scale infrastructures. Key Skills:Mandatory Advanced proficiency in configuring and managing routers, switches, firewalls, and load balancers (Cisco Meraki/ASA, Sophos, SonicWALL, etc.). Expertise in routing and switching protocols (OSPF, EIGRP, BGP, MPLS, STP, VLANs). Strong understanding of network security protocols and practices (IPSec, VPNs, ACLs, NAT, firewall policies). Proficient in cloud networking solutions (AWS, Azure, Google Cloud). Experience with network monitoring and performance tools (SolarWinds, Nagios, PRTG). Strong understanding of SD-WAN technologies and solutions. Advanced troubleshooting and problem-solving skills for Layer 1 to Layer 3 issues. Proficiency in network automation tools and scripting (Python, Ansible). Knowledge of VoIP, QoS, and unified communication protocols. Familiarity with compliance standards (ISO, NIST, GDPR). Certifications: CCNP/CCIE (Cisco Certified Network Professional/Expert) JNCIP/JNCIE (Juniper Networks Certified Professional/Expert) CompTIA Network+ Certified Information Systems Security Professional (CISSP) – for enhanced security expertise. Experience: 5+ years of experience in managing enterprise-level networks. Successful track record in deploying scalable, high-availability solutions in large organizations. Proven ability to deliver results under pressure and meet project deadlines. Education: Bachelor’s or master’s degree in computer science, Information Technology, or related field. Soft Skills: Strong analytical and organizational skills. Effective communicator with the ability to simplify technical jargon for non-technical stakeholders. Leadership and project management capabilities. Team player with a collaborative approach. Tools and Technologies: Cisco IOS, JunOS, Palo Alto PAN-OS Network analysis tools (Wireshark, NetFlow) Automation platforms (Ansible, Puppet) Version control systems (Git) Cloud-native networking services (AWS VPC, Azure Virtual Network Roles and Responsibilities Design and implement advanced network solutions to meet the needs of large and complex infrastructures. Lead network upgrades and migrations to ensure minimal downtime and optimal performance. Manage and optimize routing and switching configurations for enhanced network efficiency. Collaborate with cross-functional teams to integrate network solutions seamlessly. Oversee network security measures to protect data integrity and guard against cyber threats. Mentor junior network engineers, providing guidance and support in project execution. Perform in-depth network analysis and diagnostics to pre-empt and resolve potential issues. Document network architecture and update technical manuals for accurate knowledge transfer. Stay updated with the latest trends in networking technologies and propose upgrades as needed.

We're Hiring: Multiple roles (BDE, PMO & Support, Full Stack developers, Network Analysts) HDSoft is a fast-growing provider of cutting-edge banking technology solutions, including Internet Banking Suites, E-Wallets, Centralized Payment Hubs, Monitoring & Reporting Systems. We're hiring for multiple roles to join our dynamic team and contribute to the successful delivery of our digital banking products. Open Positions: Role 1: Business Development Executive (0-2 yrs) Key Responsibilities Conduct market research to identify new business opportunities and industry trends. Perform cold calling to connect with prospective clients. Proactively reach out to potential customers via calls, emails, and networking channels. Present and pitch HDSoft's products and services to key decision-makers. Follow up strategically and convert qualified leads into active business clients. Consistently meet or exceed monthly sales targets in line with defined SLAs. Maintain client relationships for long-term business success. Requirements: Proven experience in B2B sales, client acquisition or cold calling preferred especially in the tech, software preferred but not mandatory. Excellent communication, persuasion, and negotiation skills. Self-motivated, goal-oriented, and proactive in pursuing sales leads. Freshers with strong communication skills and interest in sales are welcome to apply. Role 2: Full Stack Developers (3+ yrs) Key Responsibilities: Lead a development team to design, develop and maintain both front-end and back-end components of web-based banking applications. Write clean, error free, and scalable code to ensure robust performance and maintainability. Ensure smooth communication and collaboration across teams and consistently meet deadlines without escalations. Build responsive, high-performance user interfaces using modern front-end technologies. Develop and integrate server-side logic using Java, Spring Boot. Work with databases like SQL, MySQL or PostgreSQL to handle data storage and retrieval. Ensure best coding practices and mentor junior team members. Lead team meetings, provide feedback, and ensure timely delivery of high-quality software. Participate in the design and implementation of system architecture to enhance scalability and performance. API development, integration to support third-party services and internal systems. Coordinate User Acceptance Testing (UAT) to ensure the application meets client and project requirements. Manage production deployments and troubleshooting, ensuring smooth transitions from development to production. Requirements: 3+ years of experience as a Full Stack Developer only. Strong ability to ensure projects go without escalations, managing risks and resolving issues proactively. Strong proficiency in Java, Spring Boot, Node.js and SQL for back-end development. Proficient in HTML, CSS, Bootstrap and modern front-end frameworks like Angular. Hands-on experience with MySQL, SQL Server, or PostgreSQL for database management. Knowledge of RESTful APIs, microservices, and Agile development methodologies. Strong leadership, communication, and mentoring skills. Knowledge of version control using Git. Bachelor's degree in computer science, Engineering, or related field. Role 3: Full stack developers (0-3 yrs) Key Responsibilities: Assist in the development of software applications using front-end and back-end technologies. Write clean, readable, and scalable code under the guidance of senior developers to code, test, and debug applications. Work on UI/UX integration using HTML, CSS, Bootstrap, and JavaScript frameworks. Write backend code and perform API integrations using Java, Spring Boot, Node.js, or Express. Handle database operations using SQL or related database systems. Support UAT testing and assist in production deployment tasks. Contribute to a collaborative and low-escalation work environment. Requirements: Knowledge of Java , Spring Boot , Node.js and SQL . Familiarity with front-end technologies like HTML , CSS , Bootstrap , JavaScript , and at least one framework (React or Angular). Strong problem-solving skills and willingness to learn and grow. Ability to communicate clearly. Internship or academic project experience in full stack development is a plus. Bachelor's degree in Computer Science, IT, or related field. Role 4: Network Analyst (0-1 yrs) Key Responsibilities: Manage, optimize, and secure our network operations, while also supporting DevOps, UAT, Production Environments, and on-premises servers. Configure and manage routers, switches, firewalls, load balancers, and wireless access points. Monitor network performance to ensure high availability and performance. Act as the first point of contact for troubleshooting and isolating network and infrastructure issues. Provide Level 1 and Level 2 support, handling escalations as per defined SLAs with minimal customer impact. Maintain shift logs and incident reports while supporting 24x7 operational coverage. Perform routine server maintenance, backups, patching, and ensure server health compliance. Manage and maintain network and system documentation, including change logs and incident resolutions. Implement and monitor network security protocols such as IPSEC, HSRP, OSPF, BGP, VLANs, VPNs, ACLs, and intrusion detection systems. Troubleshoot network issues related to TCP/IP, DNS, DHCP, SMTP, HTTP/S, SNMP, and Syslog. Support on-call rotation, flexible shifts, and work during weekends or holidays as needed. Ensure strict adherence to change management processes and internal SOPs. Communicate effectively with both technical and non-technical teams, including customers and vendors. Assist in regular UAT and production deployments ensuring minimal disruptions. Proactively identify and address potential network vulnerabilities. Required Skills Hands-on knowledge of routing protocols and networking protocols. Operating Systems: Windows, Linux, RHEL. Knowledge of networking protocols and models: OSI Model, TCP/IP. Experience with LAN/WAN, Wireless infrastructures and platform OS operations. Experience supporting and troubleshooting local servers, virtualization, and cloud infrastructure. Familiarity with network hardware: Routers, Switches, Firewalls, Load Balancers. Basic Linux/Windows server administration and patching experience. Experience supporting UAT and production environments is a must. Understanding of the OSI model and security practices in network infrastructure. Working knowledge of DevOps environments and CI/CD impact on networks. Good communication and documentation skills. Bachelor's degree in Computer Science, IT, or related field. Preferred Certifications: CCNA / CCNP Role 5: PMO & Support (0-3 yrs) Key Responsibilities Assist Project Managers in tracking project timelines, tasks, and milestones Maintain and regularly update project documentation, client trackers, and status reports Coordinate with internal teams (Development, QA, Support) and external stakeholders Schedule and support client calls, product demos, UATs, and deployments Follow up on UAT progress, client signoffs, and deployment checklists Document and circulate meeting minutes, release notes, and action items Monitor project progress and escalate risks or delays as needed Act as the first point of contact for client support tickets and queries Log, track, and follow up on client issues to ensure timely resolution Collaborate with internal teams to resolve functional and technical issues Provide basic functional support for banking modules (Payments, QR, Wallet, etc.) Coordinate post-deployment support and handle production issue escalations Prepare and maintain support trackers, reports, and client communication logs Required Skills Good understanding of Agile SDLC and task management Proficient in MS Excel, PowerPoint, and tools like Jira. 0-3 yrs of experience in client supporting, project coordination, project delivery roles. Strong communication, follow-up, and organizational skills Why Join HDSOFT? Work with banks across Tanzania, Djibouti, Comoros and more. Collaborate with a passionate and experienced fintech team. Opportunity to learn, grow, and advance your career in payments & banking domain.

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 youre 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 Qualifications Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Master’s degree with 2+ years of experience, OR Bachelor’s degree with 3+ years of experience.

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 youre 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 Qualifications Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Master’s degree with 2+ years of experience, OR Bachelor’s degree with 3+ years of experience.

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 youre 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 Qualifications Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Master’s degree with 2+ years of experience, OR Bachelor’s degree with 3+ years of experience.

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 youre 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 Qualifications Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Master’s degree with 2+ years of experience, OR Bachelor’s degree with 3+ years of experience.

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 youre 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 Qualifications Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Master’s degree with 2+ years of experience, OR Bachelor’s degree with 3+ years of experience.

Carry out in-depth investigation on security events, raise incidents and support the Incident Management process. Provide remote incident response activities and advice to support customers during and immediately after security incidents. Respond to system generated alerts, analyze logs and traffic patterns. Maintain and improve SIEM correlation rules and Endpoint Protection detections. Supporting multiple customer environments concurrently. Provide analysis and trending of security log data and network traffic. Generate customer facing security reports. Integrate and share information with other analysts and other teams. Other duties as assigned. REQUIREMENTS: Has a passion for security and enjoys solving problems. Experience working with SIEM and EDR systems. Good knowledge of Cyber Security Incident Response processes & procedures. Excellent knowledge on the fundamentals of Windows and Unix systems. Good understanding of host forensics, memory forensics and network forensics. In-depth knowledge of the security threat landscape. Knowledge of various security methodologies and processes, and technical security solutions. Knowledge of TCP/IP Protocols, network analysis, and network/security applications. Knowledge of investigation techniques to determine security incidents. Ability to multi-task, prioritize, and manage time effectively. Strong attention to detail. Excellent interpersonal skills and professional demeanor. Excellent verbal and written communication skills. Excellent customer service skills. Industry standard certifications such as: CREST CRT, GCFA, GCFE, GNFA, GREM. 4+ years experience as a Cyber Security Analyst or equivalent. Experience of working in an MSSP/MDR SOC environment. Ability to work a shift rota. In order to be considered for a position at Kroll, you must formally apply via careers.kroll.com Kroll is committed to equal opportunity and diversity, and recruits people based on merit #LI-TM1 #LI-Remote

Management Level Ind & Func AI Decision Science Analyst 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 1-3 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: 1-3 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/Master's 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 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

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