68 Network Analysis Jobs

Title : REF72766N-Senior Program Analyst - EIT, 3 to 5 yrs experience, Network Engineer, Mumbai location, immediate joiners Sr.Prgm Analyst- Good Communication Skills- Knowledge and use of Network Management Tools and integration experience with other Tools.- Should be able to understand the network setup to troubleshoot the issues- Able to log Case with Provider and OEM and follow-up till closer - updating and closing the Servicedesk ticket which is getting assigned.- should be able to basic troubleshooting on Router ,Switches and Firewall- Acknowledge the email which are send to network id - Raising the CR or ECR- Changing the VLan as per the Ticket/email- Responding to Solarwind on the alert. Qualifications Graduate Job Location

Date 10 Jun 2025 Location: Bangalore, KA, IN Company Alstom Req ID:487687 We create smart innovations to meet the mobility challenges oftoday and tomorrow. We design and manufacture a complete range of transportation systems, from high-speed trains to electric busesand driverless trains, as well asinfrastructure, signalling and digital mobility solutions. Joining us meansjoininga truly global community ofmore than 75000 people dedicated to solving real-world mobility challenges and achieving international projects with sustainable local impact. JOB PURPOSE Reporting to IS & T Network Operations manager the Network Analyst(WAN Engineer) will assist the Network operations team for end to end management of all CPA WAN links underSDWAN platform . The Network WAN Engineerwill be responsible to work along with the team to come up with operationalenhancements at the right time to accelerate the Network Operations team inproviding excellent service to Business. 1. Should have work experience in dealing with day to day Telco / ISP service Provider for Circuit Issues for an Enterprise network. 2. Work hand in hand with Alstoms MSP in identifying circuit related issues. 2. Day to DayNOCOperations. 3. Manage Outages in the Network and push Providers to fix circuit related issues within SLAs 4. Handle Escalations on time to ensure with Minimal Turnaround time. 5. Maintain the Uptime of the network at 100%. 7. Should Monitor the Network and help in planning maintenance activities ( via changes ) timely as notified by different Telco vendors . 8. Should work on building redundancy and elimination of Point of Failures. 9. Should work on Bandwidth Management and Traffic Load Balancing Mechanism whenever applicable. 10.Provide backend support to cross functional teams for new provisioning and Fault Repair. 11.24 * 7 Rotational shifts 12. Should be Responsible for Inventory Management. 14. Prepare and Maintain SOPs of critical Process; perform Process Correction on requirement basis. 15. Should analyze fault trends and plan preventive actions. 16. Should be Responsible for publishing of daily, weekly, monthly reports and statistics reports. MAIN CHALLENGES OF THE ROLE In this context the management of the end to end processes will rely on a multi-supplier ecosystem to coordinate with. The Operations team will have a critical roleto ensure business continuity for around 60,000 employees PROFILE Technical 1. Should have Good Knowledge of Routing & Telco related troubleshooting & debugging 2. Hands-on experience of BGP, MPLS, MPLS L2VPN, MPLS L3VPN, ISIS, OSPF, VLAN, DHCP, PPPoE, WAN, NAT , SDWAN etc 3. Should have worked in Layer-2 and Layer-3 Switches, Edge Routers; preferably on Cisco and Velocloud VCEs. 4. Should have worked on NMS Tools and have understanding of SNMP Protocol. 5. Should have Good understanding of Fiber Technology. 9. Must have donepreferably a Bachelors Degree or Diploma in Computer applications. 10. CCNACertification is Preferred. Communication, leadership, interpersonal and teaming skills Strong oral and written communication skills Strong listening, feedback, negotiation and conflict resolution skills Ability to build trust and work collaboratively Effectively communicate at the business stakeholder, process and technical levels High level of initiative, self-motivation, resourcefulness, collaboration and patience Builds strong networks within and across functions / geography instill a level of confidence in team members and key stakeholders Displays consideration and respect for others Facilitates effective team interaction Acknowledges and appreciates each team member's contributions Manages stakeholder expectations effectively Work management, organization and planning Focuses on the most critical issues that have the highest impact on the organization and business needs Works effectively with ambiguity / fluctuating priorities and constraints Able to manage multiple initiatives with short and long term priorities Able and willing to be hands on and get involved in detail if necessary Customer and Business focus Strong orientation towards internal customers Ability to successfully implement change through relationships built on a local, regional and global level Values and Ethics Self-motivated, self-guided and results-oriented Ability to maintain a high level of confidentiality Treats all others with respect; generates trust and performs role with highest level of integrity Seeks to exceed expectations and acts on feedback An agile, inclusive and responsiblecultureis the foundation of ourcompanywhere diverse people are offered excellent opportunities to grow, learn and advanceintheir careers.We are committed toencouragingour employeesto reach their full potential,while valuing and respecting them as individuals. Job Type:Experienced

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.

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 : 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.

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.

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Job Title - S&C Global Network - AI - RTCDP - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru Must-have skills: Web Analytics Tools 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. 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. Technical Skills: Any CDP platforms experience e.g., Lytics CDP platform developer, or/and Segment CDP platform developer, or/and Adobe Experience Platform (Real time CDP) developer, or/and Custom CDP developer on any cloud GA4/GA360, or/and Adobe Analytics Google Tag Manager, and/or Adobe Launch, and/or any Tag Manager Tool Google Ads, DV360, Campaign Manager, Facebook Ads Manager, The Trading desk etc. Deep Cloud experiecne (GCP, AWS, Azure) Advance level Python, SQL, Shell Scripting experience Data Migration, DevOps, MLOps, Terraform Script programmer Soft Skills: Strong problem solving skills Good team player Attention to details Good communication skills Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. 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 About Our Company | Accenture Qualification Experience: 8 to 10 Years Educational Qualification: B.Com

The Architect cum Senior Developer with Neo4j/graph db expertise in the telecom sector will be responsible for designing, developing, and implementing graph db solutions tailored to the operational and business requirements of telecom service providers. Design, develop, and maintain graph database models using Neo4j. Create and optimize Cypher queries for data retrieval and manipulation. Integrate Neo4j with applications using appropriate languages (Java, Python, JavaScript, etc.). Implement ETL pipelines for loading and transforming data into Neo4j. Ensure data integrity and performance of graph structures. Strong experience with Neo4j and Cypher query language. Proficiency in programming languages like Java, Python, or JavaScript. Experience with data modeling and graph theory concepts. Familiarity with database security and performance tuning. Experience with Spring Data Neo4j or Neo4j Bolt driver. Background in network analysis, recommendation systems, or knowledge graphs. Excellent communication skills for stakeholder engagement and technical documentation. Ability to mentor junior developers and guide them in best practices. Proactive approach to identifying and resolving data-related challenges in telecom network systems. 7-10 years of experience in Neo4j/graph database development with a minimum of 5 years in the telecom sector. Telecom Domain, Python, Neo4j, Java, Javascript

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

Role & responsibilities Analyze the organizations network and system requirements. • Research and analyze the network devices, protocols, services, and standards to support network activities. • Install and maintain network servers and operating systems to ensure backup copies of all files are securely stored at a specific location. • Troubleshoot problems with network devices and perform updates when required. • Install, configure, and maintain multi-user software on the servers. • Administer and maintain end-user accounts, authentication, and permission rights. • Install, configure, and maintain network communications and other networking devices such as hubs, switches, and UPS. • Maintain and perform the necessary needs of all network-connected devices. • Manage security solutions, such as anti-virus, firewall, and intrusion detection systems. • Install the software, hardware, and other devices to meet the organization’s network requirements. • Guide the System Administrator in the maintenance of the VOIP system.

Role & responsibilities Analyze the organizations network and system requirements. • Research and analyze the network devices, protocols, services, and standards to support network activities. • Install and maintain network servers and operating systems to ensure backup copies of all files are securely stored at a specific location. • Troubleshoot problems with network devices and perform updates when required. • Install, configure, and maintain multi-user software on the servers. • Administer and maintain end-user accounts, authentication, and permission rights. • Install, configure, and maintain network communications and other networking devices such as hubs, switches, and UPS. • Maintain and perform the necessary needs of all network-connected devices. • Manage security solutions, such as anti-virus, firewall, and intrusion detection systems. • Install the software, hardware, and other devices to meet the organization’s network requirements. • Guide the System Administrator in the maintenance of the VOIP system.

Research software updates to increase capacity and optimize performance Identify short-term goals to increase productivity in communications infrastructure See that all equipment functions are optimized for efficiency Perform network analysis to improve security and prevent future failures or downtime Research new technologies to stay abreast of field developments Call flow creation and management, Script creation Deliver IVR related Change Request/Service Request/Incidents and troubleshooting Recording configuration and management Voice mail set up and configuration Setup in the application for queues, routing, SLAs Skill-based auto-routing 2nd level of troubleshooting Troubleshoot and resolve complex technical issues related to the telecom systems (softphone, hardphone, VoIP and PBX), including voice quality, connectivity, and integration problems Work/Troubleshoot all inbound interactions (Chat, email, Call) from customers Timely handoff (escalation) of cases that require technical assistance to NOC etc Manage his backlog efficiently, with a focus on customer satisfaction and first call resolution Other team player activities like contributing to KB, notifying/discuss on any process improvement or best practices, Sharing/upgrading tech, and product expertise Support of the various Voice Platforms like RingCentral Office, NICE inContact CXOne, Avaya S8300 (On-Prem) CN-SH, Avaya S8500 (On-Prem) CN-GZ, Digital Phone System by ChugHwa Telecom (On-Prem) TW, Babble (Sesui) (Cloud-based) UK etc Troubleshoot and resolve complex technical issues related to the telecom systems (softphone, hardphone, VoIP and PBX), including voice quality, connectivity, and integration problems Qualifications Bachelors

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 | AccentureQualification 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.

for MMM Role: Management Level :Ind&Func AI Decision Science Consultant Location :Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models , delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping , staffing , and execution phases. Practice Enablement Mentor and guide analysts , consultants , and managers to build their expertise in Market Mix Modeling and analytics . Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM , ensuring the development of high-quality client proposals and responses to RFPs . Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization , AI/ML models , and advanced statistical techniques for marketing. Proficiency in programming languages such as Python , NumPy , Pandas , Sklearn , Seaborne , Pycaret , and Matplotlib . Experience with cloud platforms such as AWS , Azure , or GCP and data migration to Snowflake . Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures . Additional Information: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed universities . Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights . About Our Company | AccentureQualification Experience: 3+ years of experience in Market Mix Modeling (MMM) and optimization techniques 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics within reputed organizations Educational Qualification: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

for MMM Role: Management Level :Ind&Func AI Decision Science Consultant Location :Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models , delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping , staffing , and execution phases. Practice Enablement Mentor and guide analysts , consultants , and managers to build their expertise in Market Mix Modeling and analytics . Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM , ensuring the development of high-quality client proposals and responses to RFPs . Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization , AI/ML models , and advanced statistical techniques for marketing. Proficiency in programming languages such as Python , NumPy , Pandas , Sklearn , Seaborne , Pycaret , and Matplotlib . Experience with cloud platforms such as AWS , Azure , or GCP and data migration to Snowflake . Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures . Additional Information: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed universities . Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights . About Our Company | AccentureQualification Experience: 3+ years of experience in Market Mix Modeling (MMM) and optimization techniques 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics within reputed organizations Educational Qualification: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

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.

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.