68 Network Analysis Jobs - Page 3

About The Role : Develop, execute, and maintain HIL test cases for automotive ECU validation. Utilize dSPACE tools (e.g., ControlDesk) for HIL setup, monitoring, and debugging. Work with CAN tools such as CANalyzer and analyze CAN protocols. Perform network analysis using tools like Wireshark to debug Ethernet and SOME/IP communication. Automate HIL test cases using tools like ecu or similar automation frameworks. Validate telematics features, including Positioning, WiFi, Tuner, and FOTA/AOTA updates. Collaborate with cross-functional teams to improve test methodologies and automation strategies. Troubleshoot test failures and provide detailed analysis reports. Develop, execute, and maintain HIL test cases for automotive ECU validation. Utilize dSPACE tools (e.g., ControlDesk) for HIL setup, monitoring, and debugging. Work with CAN tools such as CANalyzer and analyze CAN protocols. Perform network analysis using tools like Wireshark to debug Ethernet and SOME/IP communication. Automate HIL test cases using tools like ecu or similar automation frameworks. Validate telematics features, including Positioning, WiFi, Tuner, and FOTA/AOTA updates. Collaborate with cross-functional teams to improve test methodologies and automation strategies. Troubleshoot test failures and provide detailed analysis reports. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. About The Role :- Grade Specific As a HIL validation engineer you will function as a member of telematics features Testing team. The primary duties include designing, implementing, automating and executing test cases to functionally features to ECU and Telematics domain. You will work closely with other teams that are responsible for developing the virtual and physical test platforms, software architecture group, basic software group, and application software developers Skills (competencies) Verbal Communication

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. It's everywhere transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. 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 we're 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 Accenture's clients on how to design & 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 client's 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. Qualifications Skillset Requirements: Education :- PhD / Masters / Bachelors degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 3 10 years of Hands-on Data science experience in solving real life complex business problems Minimum 1 years experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning clustering techniques Recommender Systems Reinforcement Learning Deep Learning Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Health Analytics Title :- Data Science Consultant Job location :- Gurgaon/Bangalore/Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI 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 Health Care Analytics Practice focused to support Payer and Provider clients reimagine and design variety of custom business contextual solutions and bring pre-built capabilities to life in their journeys to harness the power of data. WHAT'S 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 Clients 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. Qualifications Who are we looking for? Proficiency & Experience: 4-8 years of experience in Health analytics Strong functional and analytic skills to identify potential business problems and translate business requirements into tactical analytical requirements. 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) 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 :- Consumer Goods and Services Role :- ML Engineer Consultant/Analyst Job location :- Bengaluru, Gurugram, Pune, Hyderabad About S&C - Global Network :- At Accenture Strategy & Consulting Global Network we aim at deep industry expertise, advanced analytics capabilities and human-led design methodologies that enable clients to act with speed and confidence. We thrive by integrating human ingenuity with intelligent technology to address businesses' most complex problems. With a team of 3,000+ Data Scientists, we leverage robotic process automation, content analytics, predictive analytic models, and cognitive services to help clients drive their growth and transformation agenda. We are looking for a highly motivated and passionate Industry experts to join Accenture's Global Strategy & Consulting Network. The vision S&CG is to offer tailored solutions to meet the diverse needs of clients across various industries. Our commitment to thought leadership, innovation, and client-centricity ensures that we deliver value-added services that help clients navigate complex business landscapes and achieve their strategic objectives. Through collaboration, knowledge sharing, and talent development initiatives, we empower our professionals to continuously innovate, grow, and deliver excellence to clients. WHAT'S IN IT FOR YOU? Accenture will continually invest in your learning and growth. Youll work with Accenture's certified Data & AI practitioners, and Accenture will support you in growing your own tech stack and certifications. You'll be part of a diverse, vibrant, global Accenture Data & AI community, continually pushing the boundaries of business capabilities . What you would do in this role We are seeking a skilled and experienced MLE Consultant to join our team. The ideal candidate should have a strong background in working different cloud environments(GCP, Azure or AWS), CI\CD WoW, Migration process, MLOps, LLMOps and Data Engineering. Qualifications Responsibilities: Role: Collaborate closely with clients and stakeholders in the CG&S domain to grasp business requirements and user needs, translating them into effective machine learning solutions. Provide expert consultation and guidance to internal stakeholders on best practices in machine learning, utilizing Azure Services, Data Science methodologies, Python programming, DevOps/GitHub integration, and data assessment techniques. Lead the development and implementation of data pipelines tailored to various sources, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data, ensuring cloud-agnostic compatibility across AWS, Azure, and GCP. Utilize advanced modelling techniques and feature synthesis methodologies to extract actionable insights from diverse datasets. Conduct comprehensive data quality checks and implement measures for continuous improvement. Drive the creation of analytical models, leveraging techniques such as LLM (Large Language Models) and Generative AI, to address complex business challenges. Manage end-to-end project lifecycles, from initial scoping to deployment and maintenance, ensuring adherence to timelines and budget constraints. Stay updated on emerging trends and advancements in machine learning, contributing insights and recommendations to the team and wider organization. Collaborate effectively with data scientists, analysts, and engineers to seamlessly integrate machine learning models into data-driven applications and products. Contribute to thought leadership initiatives by sharing expertise through mediums such as blog posts, whitepapers, and presentations, fostering knowledge sharing within the organisation. Who we are looking for? Who We Are Looking For: Minimum of 3 to 7 years of experience in machine learning engineering, data science, or related roles, demonstrating a robust track record of successful projects and achievements. The candidate should be experienced in dealing with CG&S data (Nielsen, EPOS, IRI, Kantar, Euromonitor, Manufacturer or retailer P&L - financials, SAP, Sales & operations, Demographics, Trade promotion planner etc.) & functions (such as Customer Experience, Marketing and Promotions, Store Planning, Supply Chain and Logistics, and trade promotions, salesforce etc.) driven through AI. Proficiency in utilizing Azure Services, Python programming, and DevOps/GitHub for developing and deploying machine learning solutions. Strong expertise in data assessment, modelling, data feature synthesis, and conducting data quality checks to ensure accuracy and reliability. Proven experience in analytical model creation, leveraging techniques such as LLM (Large Language Models) and Generative AI to derive actionable insights. Demonstrated capability in project management, overseeing end-to-end project lifecycles from inception to deployment. Substantial knowledge and experience in cloud agnostic environments, including AWS, Azure, and GCP, with a focus on building robust data pipelines for diverse datasets, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data. Excellent communication and collaboration skills, with the ability to effectively convey complex concepts and findings to diverse stakeholders. Experience working in agile environments and collaborating closely with cross-functional teams to deliver impactful solutions. A background in statistics, mathematics, or related quantitative fields is preferred, with additional qualifications such as an MBA from a premier business school considered a plus.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Consumer Goods and Services Role :- ML Engineer Consultant/Analyst Job location :- Bengaluru, Gurugram, Pune, Hyderabad About S&C - Global Network :- At Accenture Strategy & Consulting Global Network we aim at deep industry expertise, advanced analytics capabilities and human-led design methodologies that enable clients to act with speed and confidence. We thrive by integrating human ingenuity with intelligent technology to address businesses' most complex problems. With a team of 3,000+ Data Scientists, we leverage robotic process automation, content analytics, predictive analytic models, and cognitive services to help clients drive their growth and transformation agenda. We are looking for a highly motivated and passionate Industry experts to join Accenture's Global Strategy & Consulting Network. The vision S&CG is to offer tailored solutions to meet the diverse needs of clients across various industries. Our commitment to thought leadership, innovation, and client-centricity ensures that we deliver value-added services that help clients navigate complex business landscapes and achieve their strategic objectives. Through collaboration, knowledge sharing, and talent development initiatives, we empower our professionals to continuously innovate, grow, and deliver excellence to clients. WHAT'S IN IT FOR YOU? Accenture will continually invest in your learning and growth. Youll work with Accenture's certified Data & AI practitioners, and Accenture will support you in growing your own tech stack and certifications. You'll be part of a diverse, vibrant, global Accenture Data & AI community, continually pushing the boundaries of business capabilities . What you would do in this role We are seeking a skilled and experienced MLE Consultant to join our team. The ideal candidate should have a strong background in working different cloud environments(GCP, Azure or AWS), CI\CD WoW, Migration process, MLOps, LLMOps and Data Engineering. Role :- ML Engineer Consultant/Analyst Responsibilities: Collaborate closely with clients and stakeholders in the CG&S domain to grasp business requirements and user needs, translating them into effective machine learning solutions. Provide expert consultation and guidance to internal stakeholders on best practices in machine learning, utilizing Azure Services, Data Science methodologies, Python programming, DevOps/GitHub integration, and data assessment techniques. Lead the development and implementation of data pipelines tailored to various sources, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data, ensuring cloud-agnostic compatibility across AWS, Azure, and GCP. Utilize advanced modelling techniques and feature synthesis methodologies to extract actionable insights from diverse datasets. Conduct comprehensive data quality checks and implement measures for continuous improvement. Drive the creation of analytical models, leveraging techniques such as LLM (Large Language Models) and Generative AI, to address complex business challenges. Manage end-to-end project lifecycles, from initial scoping to deployment and maintenance, ensuring adherence to timelines and budget constraints. Stay updated on emerging trends and advancements in machine learning, contributing insights and recommendations to the team and wider organization. Collaborate effectively with data scientists, analysts, and engineers to seamlessly integrate machine learning models into data-driven applications and products. Contribute to thought leadership initiatives by sharing expertise through mediums such as blog posts, whitepapers, and presentations, fostering knowledge sharing within the organisation. Qualifications Who we are looking for? Who We Are Looking For: Minimum of 3 to 7 years of experience in machine learning engineering, data science, or related roles, demonstrating a robust track record of successful projects and achievements. The candidate should be experienced in dealing with CG&S data (Nielsen, EPOS, IRI, Kantar, Euromonitor, Manufacturer or retailer P&L - financials, SAP, Sales & operations, Demographics, Trade promotion planner etc.) & functions (such as Customer Experience, Marketing and Promotions, Store Planning, Supply Chain and Logistics, and trade promotions, salesforce etc.) driven through AI. Proficiency in utilizing Azure Services, Python programming, and DevOps/GitHub for developing and deploying machine learning solutions. Strong expertise in data assessment, modelling, data feature synthesis, and conducting data quality checks to ensure accuracy and reliability. Proven experience in analytical model creation, leveraging techniques such as LLM (Large Language Models) and Generative AI to derive actionable insights. Demonstrated capability in project management, overseeing end-to-end project lifecycles from inception to deployment. Substantial knowledge and experience in cloud agnostic environments, including AWS, Azure, and GCP, with a focus on building robust data pipelines for diverse datasets, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data. Excellent communication and collaboration skills, with the ability to effectively convey complex concepts and findings to diverse stakeholders. Experience working in agile environments and collaborating closely with cross-functional teams to deliver impactful solutions. A background in statistics, mathematics, or related quantitative fields is preferred, with additional qualifications such as an MBA from a premier business school considered a plus. 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 :- Consumer Goods and Services Role :- ML Engineer Consultant/Analyst Job location :- Bengaluru, Gurugram, Pune, Hyderabad About SC - Global Network :- At Accenture Strategy Consulting Global Network we aim at deep industry expertise, advanced analytics capabilities and human-led design methodologies that enable clients to act with speed and confidence. We thrive by integrating human ingenuity with intelligent technology to address businesses' most complex problems. With a team of 3,000+ Data Scientists, we leverage robotic process automation, content analytics, predictive analytic models, and cognitive services to help clients drive their growth and transformation agenda. We are looking for a highly motivated and passionate Industry experts to join Accenture's Global Strategy Consulting Network. The vision SCG is to offer tailored solutions to meet the diverse needs of clients across various industries. Our commitment to thought leadership, innovation, and client-centricity ensures that we deliver value-added services that help clients navigate complex business landscapes and achieve their strategic objectives. Through collaboration, knowledge sharing, and talent development initiatives, we empower our professionals to continuously innovate, grow, and deliver excellence to clients. WHAT'S IN IT FOR YOU Accenture will continually invest in your learning and growth. Youll work with Accenture's certified Data AI practitioners, and Accenture will support you in growing your own tech stack and certifications. You'll be part of a diverse, vibrant, global Accenture Data AI community, continually pushing the boundaries of business capabilities . What you would do in this role We are seeking a skilled and experienced MLE Consultant to join our team. The ideal candidate should have a strong background in working different cloud environments(GCP, Azure or AWS), CI\CD WoW, Migration process, MLOps, LLMOps and Data Engineering. Role:ML Engineer Consultant Responsibilities: Collaborate closely with clients and stakeholders in the CGS domain to grasp business requirements and user needs, translating them into effective machine learning solutions. Provide expert consultation and guidance to internal stakeholders on best practices in machine learning, utilizing Azure Services, Data Science methodologies, Python programming, DevOps/GitHub integration, and data assessment techniques. Lead the development and implementation of data pipelines tailored to various sources, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data, ensuring cloud-agnostic compatibility across AWS, Azure, and GCP. Utilize advanced modelling techniques and feature synthesis methodologies to extract actionable insights from diverse datasets. Conduct comprehensive data quality checks and implement measures for continuous improvement. Drive the creation of analytical models, leveraging techniques such as LLM (Large Language Models) and Generative AI, to address complex business challenges. Manage end-to-end project lifecycles, from initial scoping to deployment and maintenance, ensuring adherence to timelines and budget constraints. Stay updated on emerging trends and advancements in machine learning, contributing insights and recommendations to the team and wider organization. Collaborate effectively with data scientists, analysts, and engineers to seamlessly integrate machine learning models into data-driven applications and products. Contribute to thought leadership initiatives by sharing expertise through mediums such as blog posts, whitepapers, and presentations, fostering knowledge sharing within the organisation. Qualifications Who we are looking for Who We Are Looking For: Minimum of 3 to 7 years of experience in machine learning engineering, data science, or related roles, demonstrating a robust track record of successful projects and achievements. The candidate should be experienced in dealing with CGS data (Nielsen, EPOS, IRI, Kantar, Euromonitor, Manufacturer or retailer PL - financials, SAP, Sales operations, Demographics, Trade promotion planner etc.) functions (such as Customer Experience, Marketing and Promotions, Store Planning, Supply Chain and Logistics, and trade promotions, salesforce etc.) driven through AI. Proficiency in utilizing Azure Services, Python programming, and DevOps/GitHub for developing and deploying machine learning solutions. Strong expertise in data assessment, modelling, data feature synthesis, and conducting data quality checks to ensure accuracy and reliability. Proven experience in analytical model creation, leveraging techniques such as LLM (Large Language Models) and Generative AI to derive actionable insights. Demonstrated capability in project management, overseeing end-to-end project lifecycles from inception to deployment. Substantial knowledge and experience in cloud agnostic environments, including AWS, Azure, and GCP, with a focus on building robust data pipelines for diverse datasets, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data. Excellent communication and collaboration skills, with the ability to effectively convey complex concepts and findings to diverse stakeholders. Experience working in agile environments and collaborating closely with cross-functional teams to deliver impactful solutions. A background in statistics, mathematics, or related quantitative fields is preferred, with additional qualifications such as an MBA from a premier business school considered a plus. 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.

Skill required: Network Planning & Engineering - Network Analytics Designation: Deployment Network Eng Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years What would you do? Helps transform back office and network operations, reduce time to market and grow revenue, by improving customer experience and capex efficiency, and reducing cost-to-serveLooking for a candidate who has expertise in Networking and has good knowledge on fundamentals of Network, concepts like OSI Model and ProtocolsThis team you will be a part of works on Network Analytics and helps provide operators and enterprises with a deep understanding of the network, enabling smarter, data-driven decisions. What are we looking for? Conveys information clearly and effectively both written and oral Assigned and accountable for specific areas of responsibility/deliverables. May prioritise and oversee activities of others to meet deadlines and quality standards. Performs a range of tasks from complex to straightforward within the scope of the function. Assists in the identification, assessment and resolution of complex issues/problems. Required to assess and resolve non-standard/standard issues/problems largely on own initiative. Decides within an available range of solutions/practices, which are the most applicable. Seeks advice and escalates issues when faced with tasks/problems outside normal scope of job. May Interacts with client/users around specific work efforts/deliverables Exhibit professionalism and perform in a manner that supports the company s emphasis on customer service and operational excellence. Respond to Client queries and escalations on email Attend all Client calls related to process updates and changes discussed on a daily & weekly basis Supports high quality work through a positive environment Assist with distributing process updates and new offers to team members to ensure accurate processing of work orders. Assist with providing ongoing performance support to new and/or underperforming team members, including coaching and remedial training. Assist with providing floor walking support to team members Assist with responding to high priority and/or complex client requests to ensure that requests are handled quickly, correctly and appropriately. Work with client to develop, update and/or modify processes to ensure accuracy, completeness and usability. Assist with and/or lead team meetings and operational level, client calls Assist with developing and/or updating individual work schedules based on production requirements. Assist with the design and updating of training materials based on identified training gaps and/or modified business requirements. Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts Qualifications Any Graduation

About The Role : As a Test Automation engineer you will function as a member of telematics features Testing team. The primary duties include designing, implementing, automating and executing test cases to functionally features to ECU and Telematics domain. You will work closely with other teams that are responsiblefor developing the virtual and physical test platforms, software architecture group, basic software group, and application software developers Create, design and automate test cases using ECU Test Tool Utilize dSPACE tools (e.g., ControlDesk) for HIL setup, monitoring, and debugging. Work with CAN tools such as CANalyzer and analyze CAN protocols. Perform network analysis using tools like Wireshark to debug Ethernet and SOME/IP communication. Automate HIL test cases using tools like ecu or similar automation frameworks. Validate telematics features, including Positioning, WiFi, Tuner, and FOTA/AOTA updates. Troubleshoot test failures and provide detailed analysis reports. Primary SKills: Hands-on experience with test automation tools preferably ECU-Test tool Hands-on experience with dSPACE ControlDesk for HIL testing. Strong inCAN, Ethernet, and SOME/IP protocols. Strong in CANalyzer for CAN network validation. Experience innetwork analysis tools (e.g., Wireshark) for protocol debugging. Prior experience in telematics validation and testing features like Positioning, WiFi, and Tuner. Experience with FOTA (Firmware Over-the-Air) and AOTA (Application Over-the-Air) updates is a plus. Understanding of AUTOSAR architecture and UDS Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. About The Role : - Grade Specific Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication Verification and Validation Automation Testing Management

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

As a Memory Design Engineer in our DRAM and Emerging memory Group (DEG) at Micron Technology, Inc., you will be responsible for designing and analyzing digital and analog circuits used in the development of memory products. This includes simulating, optimizing and floor planning DRAM circuits. In this position, you will collaborate with Micron s various design and verification teams all over the world and support the efforts of groups such as Product Engineering, Test, Probe, Process Integration, Assembly and Marketing to proactively design products that optimize all manufacturing functions and assure the best cost, quality, reliability, time-to-market, and customer satisfaction. Responsibilities will include, but are not limited to: Contributing to the development of new DRAM and Emerging memory product opportunities by assisting with the overall design, layout, and optimization of Memory/Logic/Analog circuits Parasitic modeling and assisting in design validation, reticle experiments and required tape-out revisions Overseeing and managing the layout process including floor-planning, placement, and routing Performing verification processes with modeling and simulation using industry standard simulators Maintaining technical expertise and provide training Contributing to cross group communication to work towards standardization and group success Working with Marketing, Probe, Assembly, Test, Process Integration, and Product Engineering groups to ensure proper manufacturability of product Proactively solicit input from Standards, CAD, modeling, and verification groups to ensure the design quality Driving innovation into the future Memory generations within a dynamic work environment Successful candidates for this position will have: Extensive knowledge of CMOS Circuit Design and Device Physics Knowledge and experience in Finesim and/or Hspice Experience with power network analysis Extensive knowledge in verilog modeling and simulation tools Extensive knowledge of state machine logic/design verification techniques Excellent problem-solving and analytical skills A self-motivated, enthusiastic team player who enjoys working with others Good communication skills with the ability to convey complex technical concepts to other design and verification peers in verbal and written form Experience with a scripting language (Python, Tcl, Perl, etc) Familiarity with memory design is a big plus Qualifications: Bachelors or Post Graduate Degree with 8+ years experience in Electronics Engineering or related engineering field

AIX is the leading open standards-based UNIX operating system from IBM that provides scalable, secure, and robust infrastructure solution for enterprise customers. As a Operating System Security Developer, you will be responsible for Design, development & support of new feature functions, adopting new security policies/standards for AIX Operating System. Work with Product Managers, Senior leaders, and customers to understand the Business needs and implement the same in AIX. Adhere to the AIX development process and ensure successful delivery for the respective component. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Required Professional and Technical Expertise : 5 to 12 years of experience in Platform Security Development. Strong skills in C programming Experience in Algorithms, Data Structures/File Structures Strong skills in Unix/Linux internals Hands-on in multi-threading, synchronization & Kernel programming etc. Hands-on and working/implementation experience in platform Security Engineering domain Design and development of UNIX/Linux operating system security features in the areas of authentication, authorization, Trusted Execution, System Auditing, Secure Boot, Encryption Techniques etc. Development of access control policies like Role Based Access Control (RBAC), Multi Level Security (MLS), encryption, key management, vulnerability assessments, credential/secrets management Experience in SSL/TLS protocols, authentication protocols like, SSO, Oauth2, SAML etc. Experience in application security, cryptography, PKI, network security, IPSecurity, IKE etc Knowledge of TCP/IP and network protocols, network analysis, IP filers etc. Proven Debugging, troubleshooting device drivers and Problem-Solving skills Proven Interpersonal soft, oral, and written communication skills. Interact with customers, understand their requirements, and add new features. Work closely with cross-functional teams across multiple locations (worldwide). Preferred technical and professional experience Preferred Professional and Technical Expertise : Prior Operating System development experience in UNIX (HP UX, Solaris, AIX) or Linux Operating systems.

Role requirements 1-3 years of experience/knowledge in Incident, request and change management. Good understanding of network protocols, ports, and common services such as network and application layer protocols. Understanding of mainstream operating systems (Windows, Linux, etc.), and commonly used web browsers (Edge, IE, Chrome, Safari, Firefox). Good knowledge in incident analysis, evidence collection, documentation, communications, reporting and response. Experience in managing Forward Proxy, Reverse Proxy or Firewall. Basic Knowledge in Proxy (Zscaler), VPN (Zscaler), WAF (Akamai) and CDN (Akamai) solutions and network routing and switching. Basic knowledge of ATP, Sandbox, Antivirus, IPS/IDS, SSL inspections etc Basic knowledge in network troubleshooting tools such as tcpdump, winMTR, nslookup, netstat etc and network analysis tools such as Wireshark, fiddler etc. Basic knowledge of networking fundamentals (OSI Layers, TCP/IP, IP Packet Flow, protocols, routing switching and services...) Experience in troubleshooting webpages via development tool. Possess good communication and documentation skills (fluent English in written and verbal form). Proficiency in time management. Support rotational 24x7 operational shifts and on call when needed.

A strong proficiency in network security encompassing the management of diverse firewall solutions from multiple vendors, expertise in routing and switching, and a deep understanding of wireless technologies. In-depth knowledge of Security Policy Optimization, Threat Prevention and Intrusion Detection, IPSEC, RAVPN, Cluster Management, Identity Awareness, Multi-Vendor Integration. Hands-on experience of Routing & Switching on vendor devices like Cisco, ruckus and HPE. Hands-on experience of Checkpoint, Palo Alto, Fortigate, Forti Manager, Firepower content filtering, Sophos, ASA firewalls & Websense. Hands-on experience in Manage engine, PRTG, Forti Analyzer, Zabbix and Nagios monitoring tools. Familiarity with network analysis tools such as Wireshark and Syslog.

Good Knowledge in Cabling and passive design

Entity:- Accenture Strategy & Consulting Team:- Strategy & Consulting Global Network Practice:- Marketing Analytics - Conversational AI Title:- Ind & Func AI Decision Science Analyst Job location:- Bangalore/Gurgaon/Hyderabad/Mumbai About S&C - Global Network:- Accenture GN's Data & AI (AI Hub India) 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. WHAT'S 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 Data Science conversational analyst is expected to assist in the development of AI driven bot. He/She is responsible for building conversational interfaces and virtual agents for customers. He/She is also expected to provide technical assistance to the team in developing and deploying the bot. Qualifications Who we are looking for? Must Have :- 2-4 years of relevant experience Should have hands on experience with at least one Machine learning algorithm. Programming language Python and SQL NLP, Journey Analytics, segmentation, propensity models, Customer analytics Concepts of Intent, Entity, Fallback Management and Context Management Dialogflow, Rasa Ability to create data science model independently Good To Have:- Webhooks and Ngrok,. Omni Channel Integration Regression Testing Understanding of CI/CD pipelines. Experience with proposing solution architectures 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 :- Strategy & Consulting Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - 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. WHAT'S 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 :- Strategy & Consulting Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - 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. WHAT'S 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.

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