820 Correlation Jobs

Job Title: Medical Annotation Intern Location : Hyderabad Type : Internship Internship Duration : 3-6 months Job Type: Onsite Department : Research & Development Industry : Health Tech / Digital Health Salary: ₹5,000 – ₹10,000/month (based on qualifications and Knowledge) About Us: At MHN , we're redefining how individuals engage with their health through research-backed, AI-driven tools. Our mission is to personalize preventive health solutions by combining clinical science, behavioral data, and user-centric design. The Role: We're looking for R&D Interns and Research Associates who are passionate about healthcare innovation. This role is ideal for those with a research-oriented mindset and an interest in bridging the gap between science, data, and digital health technology. Key Responsibilities: Health Research & Analysis: Conduct in-depth research on various health parameters and their correlation with lifestyle and behavioral factors, as assigned by management. Stay current with the latest clinical studies, scientific literature, and public health data to support evidence-based development. Insight Generation: Translate complex medical data into clear, actionable insights aimed at improving individual and population health outcomes. Identify trends, risk factors, and preventive strategies based on data analysis and scientific research. Product & Dashboard Integration: Collaborate with the tech and product teams to integrate research findings into MHN’s health templates, AI dashboards, and personalized user interfaces. Ensure all outputs reflect clinical accuracy, relevance, and user applicability. Cross-Functional Collaboration: Work closely with multidisciplinary teams—including the development, product, and design teams—to drive research-backed innovation. Actively contribute to brainstorming sessions, rapid prototyping, and the validation of health solutions to ensure scientific integrity and user-centric design. Team Building & Leadership: Contribute to the foundation of MHN’s R&D division by developing research strategies, creating knowledge repositories, and documenting best practices. Required: Bachelor's or Master's degree in Public Health , Life Sciences , Biomedical Sciences , Medicine , Psychology , or related fields. Strong critical thinking and research synthesis skills. Excellent written and verbal communication, especially simplifying complex ideas. Good to Have: Prior internship or coursework in public health, health tech, or clinical research. Familiarity with data interpretation or tools like Excel, PubMed, or public health dashboards. Interest in digital health, AI, or behavior change science. What We Offer Direct impact on health outcomes through technology. Mentorship from cross-functional teams (product, research, clinical). Fast-paced, learning-focused environment. Flexible work arrangements. Opportunity to transition from intern to full-time (if applicable). After completing the Internship, for Full-Time the CTC will be ₹1.8 LPA – ₹3 LPA Job Type: Internship Pay: ₹5,000.00 - ₹10,000.00 per month Schedule: Day shift Ability to commute/relocate: Lakdi ka pul, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you from Medical Background? Work Location: In person

Project Role : Security Advisor Project Role Description : Provide enterprise-level advice to make organizations cyber resilient. Assist in navigating the complex landscape of cyber threats, ensuring robust digital asset protection while maintaining trust with stakeholders. Must have skills : Security Information and Event Management (SIEM) Good to have skills : NA Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Level 1.5 SOC Analyst, your role involves deeper investigation of security alerts and confirmed incidents. You will validate escalated events using Sentinal One and Splunk SIEM, enrich them with context, and work closely with L3 analysts to assist in containment and timely remediation. You will also assist in improving detection fidelity and supporting SOAR automation. This role requires deep expertise in detection, investigation, containment, and remediation, as well as collaboration with multiple teams across security, IT, and compliance. Roles & Responsibilities: - Investigate alerts escalated by L1 to determine scope, impact, and root cause - Perform in-depth endpoint and network triage using Sentinel One - Use Sentinel One to perform endpoint analysis and threat validation - Correlate multiple log sources in Splunk to trace attacker activity - Enrich events with asset, identity, and threat intelligence context - Document investigation workflows, evidence, and final conclusions - Support L2 during major incidents by performing log or memory triage - Suggest improvements in alert logic & fine tunning. - Conduct threat research aligned to alert patterns and business context - Enhance alert fidelity with threat intel and historical context - Document investigation findings and communicate with stakeholders Professional & Technical Skills: - Alert Triage & Monitoring: Experience investigating escalated alerts using SIEM or EDR - Incident Response and Containment: Take necessary actions to contain, eradicate and recover from security incidents. - Identify opportunities for automation and work with SIEM Platform Support team for implementing it. - EDR Deep Dive: Using Real Time Response (RTR), Threat Graph, custom IOA rules - Proficiency in writing SPL queries, dashboards and providing fine tuning opportunities - Threat Hunting: Behavior-based detection using TTPs - Good understanding of malware, lateral movement, privilege escalation, and exfiltration patterns - Threat Intel Integration: Automation of IOC lookups and enrichment flows - Forensic Skills: Live host forensics, log correlation, malware behavioral analysis - Good experience in advanced threat detection and incident response - Proficiency in Sentinal One forensic and incident response capabilities - Playbook Development/Updation: Able to define, update, and optimize IR playbooks and workflows - Forensic analysis (memory, file systems, logs) - Cloud incident handling (AWS, Azure) - Dashboarding: Advanced visualizations and business-focused metrics in Splunk - Certifications: Splunk Certified Admin/ES Admin, SC-200, Sentinal One EDR vendor training - Sentinal One: Custom detections, forensic triage, threat graphs - Splunk SIEM (core + ES module): Searching Logs, Monitoring and investigating alerts. Additional Information: - The candidate should have minimum 2+ years in SOC/IR . - Experience in 24x7 environments, shift-based operations, or critical infrastructure response - This position is based at our Hyderabad office. - A 15 years full time education is required. - Bachelors in IT/Cybersecurity + advanced certifications (CISSP), Splunk Certified Admin/ES admin, EDR Certification (like Sentinal One) etc. 15 years full time education

DESCRIPTION We are seeking skilled and motivated program managers to join the Maps Program space, within Amazon’s Last Mile Analytics and Quality team. We drive initiatives by partnering with various departments to make delivering for Amazon a safe and stress free experience for our drivers, while also improving Last Mile operational efficiency. We are growing at a rapid pace and have set high expectations for ourselves. Our Program Managers help us cut through ambiguity and drive execution of projects at a pace that match these expectations. An ideal candidate has a background in transportation and excellent program management skills. We expect Program Managers (PM) to own the projects they are assigned. They should identify the inter linkages between different teams involved, understand the data flowing in from each of these team’s processes and generate insights through a combination of data savvy and business acumen. This job requires PMs who are proficient in written as well as verbal communication. They need to be able to operate in an environment where correlation ambiguity exists. To be successful, the PM should be willing to learn an upskill themselves on latest processes which help them handle Map –spatial data. Responsibilities include, but are not limited to: Define Goals/KPIs for a project and constantly measure progress against set goals Lead initiatives to identify and eliminate root causes of defects in order to drive efficiency in Last Mile Routing and Navigation Coordinate with Stakeholders (Tech, Product and Operations) to drive projects end to end Conveying updates on issues, operational status and business insights internally as well as externally during weekly/monthly reviews Must be able to systematically escalate any issues in the operating plan to the relevant owners and follow through on the resolutions. Key job responsibilities Manages program solutions for last-mile delivery challenges through problem identification, scoping, creating, and delivering long-term solutions while cross-collaborating with technology, product, program, business, and operations teams. Develops and implements strategies for continuous map updates and improvements based on driver feedback, delivery data, and emerging technologies. Coordinates cross-functional projects to standardize procedures and eliminate root causes of map data inaccuracies within current systems. Extracts valuable insights from spatial and non-spatial datasets using various tools and techniques, while supporting map data evaluations and quality assessment through insight sharing. BASIC QUALIFICATIONS 2+ years of program or project management experience PREFERRED QUALIFICATIONS Knowledge of Lean principles and DMAIC methodology Experience in MS Access and SQL Experience in requirement gathering and ability to write clear and detailed requirement document Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Last Mile Delivery Supply Chain/Transportation Management

Role: Vehicle dynamic simulations & force calculations Responsibilities: Preparing MBD model for system level and vehicle level. K&C simulation, Ride and handling simulation, Tire modeling, Analysis of tire related market issues and co-simulation. Results interpretation and report preparation. Improve Virtual Testing for achieving better correlation with the Physical test. Supporting design and testing team for vehicle performance improvements. Experience of actual vehicle testing & understanding of ride & handling parameters with actual vehicle feeling as driver & passenger is preferable. Work closely with validation and testing teams to ensure alignment between virtual simulations and real-world testing activities. Added advantage: ADAS Know-how & Simulations using industry-standard tools and languages (e.g., CARSIM/MATLAB/Simulink, Python etc). Technical/ Functional : Bachelor's/master’s degree in mechanical, Automobile, Mechatronics Engineering. Good Knowledge in area of Vehicle Dynamics, Ride handling, Tire, control systems. Ability to perform virtual validation as per the physical testing conditions. Ability to suggest countermeasure for design improvement and cost/weight reductions. Ability to understand the market/prototype failures and capable to analysis the failures. Candidate should have: Sound Knowledge of ADAMS, CARSIM Basic python, MATLAB, Automation Knowledge in in Model Based Development (MBD) & ADAS area is preferable. Behavioral: Excellent interpersonal skills, Communication & presentation skills, Achievement orientation, Team player, Networking skills

About Us: Toluna is a leading global research and insights provider that empowers clients to make smarter data-driven decisions. Combining our flexible platform, cutting-edge technology, expansive portfolio, and passionate experts, we simplify our clients' work and enable them to deliver greater business impact. Responsibilities: Ensuring smooth running of project assigned, Meeting the committed timelines while maintaining a high quality standards, as defined in the annual MBOs Participates in client calls/meetings autonomously. Take ownership & Work independently on projects with complexity 1-5, ensuring a high level of service quality. Complete Knowledge & Hands-on experience of Data validation, cleaning, re-coding, formatting, merging and restructuring, integrating Open ended coding, Tables, weighting using Quantum and SPSS First time right delivery on each project Update time card day by day in order to have an accurate image of the workload for the past/next period Keeps the project manager updated with the progress on the DP tasks Report data inconsistencies, if any, until everything is correct before giving the go ahead for full launch. Escalate any outstanding issue to Team leader as soon as identified. Serves as front line support in operational issues for less experienced staff Your Profile Effective Communication skill (oral, written and presentation) Ability to work independently and Proficiency in Quantum scripting, SPSS and Excel. Good knowledge of Tabulation, weighting at least for complexity level 1-5 studies. Good understanding of Basic & Advanced Statistical concepts Excellent analytical, problem solving, organization skills Strong interpersonal skill to develop quick rapport in a team setting and establish solid credibility with colleagues and cross functional teams Flexible to work in night shifts Good knowledge of advanced Statistical concepts (Correlation, Regression, ANOVA,... 3 - 6 yrs of demonstrative Data Processing experience and hands-on experience on Quantum & SPSS. Our Values: Acting with Ownership- Demonstrating individual accountability Bringing a forward mindset- Being action-oriented, bold and entrepreneurial Collaborating with Curiosity- Exhibiting teamwork through togetherness Discussing openly, committing jointly- Sharing your views openly Embracing empathy- Being egoless & caring What we offer: At Toluna, we’re all about creating a welcoming, diverse workplace where everyone can thrive. We offer competitive pay, great benefits, and plenty of opportunities to grow within our global team. Inclusion and respect are at the heart of what we do. Our community connects over 72 million people across 70 countries. If you’re passionate about making an impact, we’d love to have you on board. Join our global team. We welcome big thinking and reward great work.

Job Summary We are seeking a skilled and detail-oriented OpsRamp Event Management Engineer to configure manage and optimize HP OpsRamp for centralized event and incident management. The ideal candidate will have hands-on experience with ITOM tools strong knowledge of event correlation and a passion for improving operational efficiency through automation and observability. Responsibilities Configure and maintain OpsRamp for event ingestion correlation and incident management. Integrate OpsRamp with various monitoring tools e.g. SolarWinds Nagios Zabbix etc and ITSM platforms e.g. ServiceNow Develop and fine tune event policies suppression rules and escalation workflows. Implement AI based noise reduction and root cause analysis features. Create dashboards and reports for real time visibility into infrastructure health. Collaborate with cross functional teams to ensure seamless event flow and incident resolution. Maintain documentation for configurations SOPs and best practices. Participate in on-call rotations and provide L2 L3 support for event management issues. 3 years of experience in IT Operations or Infrastructure Monitoring. Hands on experience with OpsRamp configuration and administration. Strong understanding of event correlation alert suppression and incident workflows. Familiarity with SNMP Syslog APIs and cloud monitoring integrations. Experience with scripting Python PowerShell or Shell for automation. Knowledge of ITIL processes especially Incident and Event Management. Excellent problem-solving and communication skills.

Overview We are looking for a self-driven, software engineering mindset SRE support engineer enabling an SRE-driven orchestration of all components of the end2end ecosystem & preemptively diagnosing anomalies and remediating through automation. The SRE support engineer is integral part of the global team with its main purpose to provide a delightful customer experience for the user of the global consumer, commercial, supply chain and enablement functions in the PepsiCo digital products application portfolio of 260+ applications, enabling a full SRE Practice incident prevention / proactive resolution model. The scope of this role is focussed on the Modern architected application portfolio, B2B pepsiconnect and Direct to Customer and other S&T roadmap applications. Ensures that PepsiCo DPA applications service performance,reliability and availability expected by our customers and internal groups It requires a blend of technical expertise on SRE tools, modern applications arhictecture, IT operations experience, and analytics & influence skills. Responsibilities Reporting directly to the SRE & Modern Operations Associate Director, is responsible to enable & execute the pre-emptive diagnosis of PepsiCo applications towards service performance, reliability and availability expected by our customers and internal groups Responsible as pro-active support engineer, diagnosing any anomalies prior to any user and driving the necessary remediations across the teams involved. Develop / leverage aggregation correlation solutions that integrates events across all eco system component of the modern architecture solution and comes up with insights to continuously improve the user journey and order flow experience collaborating with software engineering teams. Drive incident response, root cause analysis (RCA), and post-mortem processes to ensure continuous improvement. Develop and maintain robust monitoring, alerting, and observability frameworks using tools like Grafana, ELK, etc. Collaborate with product and engineering teams during the design and development phases to embed reliability and operability into new services. Participate in architecture reviews and provide SRE input on scalability, fault tolerance, and deployment strategies. Define and implement SLOs/SLIs for new services before they go live, ensuring alignment with business objectives. Work closely with customer facing support teams to evolve & empower them with SRE insights Participate in on-call support and orchestrating blameless post-mortems and encourage the practice within the organization Provides inputs to the definition, collection and analysis of data relevant products systems and their interactions towards business process resiliency especially related impacting customer satisfaction, Actively engage and drive AI Ops adoption across teams Qualifications 9-11 years of work experience evolving to a SRE engineer with 3-5 years of experience in continuously improving and transforming IT operations ways of working Bachelor’s degree in Computer Science, Information Technology or a related field The ideal Engineer will be highly quantitative, have great judgment, able to connect dots across ecosytems, and efficiently work cross-functionally across teams to ensure SRE orchestrating solutions are meeting customer/end-user expectations The candidate will take a pragmatic approach resolving incidents, including the ability to systemically triangulate root causes and work effectively with external and internal teams to meet objectives. A firm understanding of SRE (Software Reliability Engineering) and IT Service Management (ITSM) processes with a track record for improving service offerings - pro-actively resolving incidents, providing a seamless customer/end-user experience and proactively identifying and mitigating areas of risk. Proven experience as an SRE in designing the events diagnostics, performance measures and alert solutions to meet the SLA/SLO/SLIs. Hands on experience in Python, SQL, relational or non-relational DBs, AppDynamics, Grafana, Splunk, Dynatrace, or other SRE Ops toolsets. Deep hands-on technical expertise, excellent verbal and written communication skills Differentiating Competencies Driving for Results: Demonstrates perseverance and resilience in the pursuit of goals. Confronts and works to resolve tough issues. Exhibits a “can-do” attitude and a willingness to take on significant challenges Decision Making: Quickly analyses complex problems to find actionable, pragmatic solutions. Sees connections in data, events, trends, etc. Consistently works against the right priorities Collaborating: Collaborates well with others to deliver results. Keeps others informed so there are no unnecessary surprises. Effectively listens to and understands what other people are saying. Communicating and Influencing: Ability to build convincing, persuasive, and logical storyboards. Strong executive presence. Able to communicate effectively and succinctly, both verbally and on paper. Motivating and Inspiring Others: Demonstrates a sense of passion, enjoyment, and pride about their work. Demonstrates a positive attitude in the workplace. Embraces and adapts well to change. Creates a work environment that makes work rewarding and enjoyable.

Role description Dimensional Variation Analysis •Act as technical mentor for the team of DVA engineers .•Central point of contact to co-ordinate pl anned work with support of DVA Leads, ensuring appropriate throughput and correlation with reference DVA results •Conducting DVA Studies to be conducted using both 3DCS (v7.8) software package •Utilise existing DVA vehicle models or generate new local models •Carry out DVA studies to confirm Local Alignment Measurement (LAM) tolerances for new vehicle lines •Carry out DVA exterior function ality and system development (Front/Side/Rear/Underbody Dimensional Systems) •Be responsible for ensuring all inputs, processes and tolerances are understood, appropriate and modelled accurately within the DVA model; communicating with key stakeholders within Product Engineering, Manufacturing and Quality teams as required •Provide a summary of study results to agreed format, cascading to relevant stakeholders •Identify major contributors and make recommendations for how results can be improved towards target •Revi ew and highlight any process improvements that could be implemented into the DVA process, particularly through the implementation of automation & new systems. Other Skills :•Ability to work to high quality to tight deadlines •Ability to work on multiple tasks an d manage priorities •Can work in isolation requiring minimal intervention from client/onshore Co-ordinator •Able to solve DVA prob lems •Good communicator – both verbal and written EnglishExperience: 6-12 yearsIdeally qualified to degree level in manufacturi ng or mechanical engineering.Preferably working for global Automotive OEM, Tier1

Greetings !! We are looking for a skilled Splunk Administrator with hands-on experience in deploying and managing Splunk Enterprise and Splunk Cloud. The ideal candidate should have experience in Splunk Enterprise Security (ES), Splunk UBA, and IT Service Intelligence (ITSI). This role requires strong technical skills, along with the ability to communicate effectively with customers. Roles & Responsibilities: ✅ Splunk Deployment & Administration: Install, configure, and manage Splunk Enterprise and Splunk Cloud. Handle indexers, search heads, forwarders, and clustering. Optimize Splunk performance, storage, and scalability. ✅ Security & Splunk Monitoring Solutions: Implement and manage Splunk Enterprise Security (ES), Splunk UBA, and ITSI. Configure correlation searches, threat intelligence feeds, risk-based alerting (RBA), and dashboards. Troubleshoot security-related issues within Splunk. ✅ Customer Interaction & Troubleshooting: Engage with customers to understand their requirements and provide technical guidance. Troubleshoot and resolve Splunk-related issues, logs ingestion, parsing, and data onboarding. ✅ Splunk Architecture & Implementation: Design, deploy, and optimize Splunk Enterprise and Splunk Cloud environments. Lead end-to-end Splunk implementations, migrations, and upgrades. Manage search head clustering, indexer clustering, and data retention policies. ✅ Security & Observability Solutions: Architect and configure Splunk Enterprise Security (ES), Splunk UBA, and ITSI. Implement risk-based alerting (RBA), custom correlation searches, and advanced analytics. Integrate Splunk with SOAR, cloud platforms (AWS, Azure, GCP), and third-party security tools. ✅ Team Leadership & Customer Engagement: Lead and mentor a team of Splunk Administrators & Engineers. Interact with customers to gather requirements, design solutions, and conduct workshops etc. Review and improve Splunk use cases, dashboards, and data models. ✅ Optimization & Automation: Develop custom scripts (Python, Bash, PowerShell) for automation and orchestration. Tune Splunk performance, search queries, and indexing strategies. Implement best practices for data onboarding, parsing, and CIM compliance. Interested can share their updated resume to gayathri.ramaraj@locuz.com along with the below mentioned details. Current CTC: Expected CTC: Notice Period:

Elevate your career with Thomson Reuters and join our purpose to inform the way forward! Step into the world of global technology support as an Application Analyst and help power the platforms that professionals trust every day. The Application Analyst provides courteous and prompt provision of operational support relating to assigned application systems. This includes mitigating customer impact of issues, initiating action to determine root causes, and implementing problem resolution. Hybrid Working Mode: 2-3 days mandatory Work from office in every week. Shift Timings: 04:30 PM to 01:30 AM IST or 05:30 PM to 02:30 AM IST , the candidate should be comfortable working in different shifts. Experience Required: 1-2 years of relevant work experience About the Role: Analyzes customer problems of low complexity Assesses scope of impact Mitigates customer impact of issues and executes work arounds Implements problem resolution as identified in documented solutions Engages others as appropriate and escalates as required Provides advice or training to users about the application systems' functionality, correct operation or constraints, and corrects user faults. Proactively monitors production and nonproduction environments and/or applications Conducts root cause analysis and correlation of other system and/or application problems of low complexity Works on smaller, minimally complex projects/issues that require a singular area of expertise. Participates in project planning sessions with team members. Manages multiple and sometimes competing priorities with guidance. Aids the preparation of status updates for customer problems or projects. Regularly communicates and shares knowledge with the rest of the team. Performs actions aligned with defined standards. The following are required for some positions but not all: Makes general or site-specific modifications update system documentation, manipulate data and defines enhancements.* Provides input for technical plans and solutions. About You: Support experience with an emphasis on providing excellent service in a customer care role. Superior analytical, problem solving and troubleshooting skills Exceptional attitude towards customer service Ability to work independently and in a team environment Excellent verbal and written communication skills Awareness of programming concepts and database usage Familiarity with Internet-based applications Capable of multi-tasking in a fast-paced environment Candidate should be proficient in using SQL Technology Used: Web-based software platforms SQL Microsoft suite What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Job Name: Infrastructure Security Engineer Location- Onsite- Ahmedabad Job Type- Full Time Position Overview We are seeking an experienced Infrastructure Security Engineer to join our cybersecurity team and play a critical role in protecting our organization's digital infrastructure. This position requires a versatile security professional who can operate across multiple domains including cloud security, vulnerability management/patch management, endpoint protection, and security operations. Key Responsibilities AWS Cloud Security Design, implement, and maintain security controls across AWS environments including IAM policies, security groups, NACLs, and VPC configurations Configure and manage AWS security services such as CloudTrail, GuardDuty, Security Hub, Config, and Inspector Implement Infrastructure as Code (IaC) security best practices using CloudFormation, Terraform, or CDK Conduct regular security assessments of cloud architectures and recommend improvements Manage AWS compliance frameworks and ensure adherence to industry standards (SOC 2, ISO 27001, etc.) Vulnerability Management Lead enterprise-wide vulnerability assessment programs using tools such as Nessus Develop and maintain vulnerability and patch management policies, procedures, and SLAs, regular reporting Coordinate with IT and development teams to prioritize and remediate security vulnerabilities Generate executive-level reports on vulnerability metrics and risk exposure Conduct regular penetration testing and security assessments of applications and infrastructure Patch Management Design and implement automated patch management strategies across Windows, Linux, and cloud environments Coordinate with system administrators to schedule and deploy critical security patches Maintain patch testing procedures to minimize business disruption Monitor patch compliance across the enterprise and report on patch deployment status Develop rollback procedures and incident response plans for patch-related issues Endpoint Security Deploy and manage endpoint detection and response (EDR) solutions such as CrowdStrike Configure and tune endpoint security policies including antivirus, application control, and device encryption Investigate and respond to endpoint security incidents and malware infections Implement mobile device management (MDM) and bring-your-own-device (BYOD) security policies Conduct forensic analysis of compromised endpoints when required Required Qualifications Education & Experience Bachelor's degree in computer science, Information Security, or related field Minimum 5+ years of hands-on experience in information security roles 3+ years of experience with AWS cloud security architecture and services Technical Skills Cloud Security: Deep expertise in AWS security services, IAM, VPC security, and cloud compliance frameworks Vulnerability Management: Proficiency with vulnerability scanners (Qualys, Nessus, Rapid7) and risk assessment methodologies Patch Management: Experience with automated patching tools (WSUS, Red Hat Satellite, AWS Systems Manager) Endpoint Security: Hands-on experience with EDR/XDR platforms and endpoint management tools SIEM/SOAR: Advanced skills in log analysis, correlation rule development, and security orchestration Operating Systems: Strong knowledge of Windows and Linux security hardening and administration Security Certifications (Preferred) AWS Certified Security - Specialty CISSP (Certified Information Systems Security Professional) GCIH (GIAC Certified Incident Handler) CEH (Certified Ethical Hacker) Key Competencies Strong analytical and problem-solving skills with attention to detail Excellent communication skills and ability to explain complex security concepts to technical and non-technical stakeholders Project management capabilities with experience leading cross-functional security initiatives Ability to work in fast-paced environments and manage multiple priorities Strong understanding of regulatory compliance requirements (PCI-DSS, HIPAA, SOX, GDPR) Experience with risk assessment frameworks and security governance Reporting Structure This position reports to the Engineering Manager Cyber Security and collaborates closely with IT Operations, Development Teams.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge. Job Description Core Responsibilities About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers, and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to support dynamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and exploration of emerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 3+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice To Have Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts Certifications in cloud architecture, ML engineering, or data science specialization Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years

Sr/Lead ML Engineer Placement type (FTE/C/CTH): C/CTH Duration : 6 month with extension Location: Phoenix AZ, must be onsite 5 days a week Start Date: 2 weeks from the offer Interview Process One and done Reason for position Integration ML to the Observability Grafana platform Team Overview Onshore and offshore Project Description AI/ML for Observability (AIOps) Developed machine learning and deep learning solutions for observability data to enhance IT operations. Implemented time series forecasting, anomaly detection, and event correlation models. Integrated LLMs using prompt engineering, fine-tuning, and RAG for incident summarization. Built MCP client-server architecture for seamless integration with the Grafana ecosystem. Duties/Day to Day Overview Machine Learning & Model Development Design and develop ML/DL models for: Time series forecasting (e.g., system load, CPU/memory usage) Anomaly detection in logs, metrics, or traces Event classification and correlation to reduce alert noise Select, train, and tune models using frameworks like TensorFlow, PyTorch, or scikit-learn Evaluate model performance using metrics like precision, recall, F1-score, and AUC ML Pipeline Engineering Build scalable data pipelines for training and inference (batch or streaming) Preprocess large observability datasets from tools like Prometheus, Kafka, or BigQuery Deploy models using cloud-native services (e.g., GCP Vertex AI, Azure ML, Docker/Kubernetes) Maintain retraining pipelines and monitor for model drift LLM Integration for Observability Intelligence Implement LLM-based workflows for summarizing incidents or logs Develop and refine prompts for GPT, LLaMA, or other large language models Integrate Retrieval-Augmented Generation (RAG) with vector databases (e.g., FAISS, Pinecone) Control latency, hallucinations, and cost in production LLM pipelines Grafana & MCP Ecosystem Integration Build or extend MCP client/server components for Grafana Surface ML model outputs (e.g., anomaly scores, predictions) in observability dashboards Collaborate with observability engineers to integrate ML insights into existing monitoring tools Collaboration & Agile Delivery Participate in daily stand-ups, sprint planning, and retrospectives Collaborate with: Data engineers on pipeline performance and data ingestion Frontend developers for real-time data visualizations SRE and DevOps teams for alert tuning and feedback loop integration Translate model outputs into actionable insights for platform teams Testing, Documentation & Version Control Write unit, integration, and regression tests for ML code and pipelines Maintain documentation on models, data sources, assumptions, and APIs Use Git, CI/CD pipelines, and model versioning tools (e.g., MLflow, DVC) Top Requirements (Must haves) AI ML Engineer Skills Design and develop machine learning algorithms and deep learning applications and systems for Observability data (AIOps) Hands on experience in Time series forecasting/prediction, anomaly detection ML algorithms Hands on experience in event classification and correlation ML algorithms Hands on experience on integrating with LLMs with prompt/fine-tuning/rag for effective summarization Working knowledge on implementing MCP client and server for Grafana Eco-system or similar exposure Key Skills: Programming languages: Python, R ML Frameworks: TensorFlow, PyTorch, scikit-learn Cloud platforms: Google Cloud, Azure Front-End Frameworks/Libraries: Experience with frameworks like React, Angular, or Vue.js, and libraries like jQuery. Design Tools: Proficiency in design software like Figma, Adobe XD, or Sketch. Databases: Knowledge of database technologies like MySQL, MongoDB, or PostgreSQL. Server-Side Languages: Familiarity with server-side languages like Python, Node.js, or Java. Version Control: Experience with Git and other version control systems. Testing: Knowledge of testing frameworks and methodologies. Agile Development: Experience with agile development methodologies. Communication and Collaboration: Strong communication and collaboration skills. Experience: Lead – 10 to 12 Years (Onshore and Offshore). Developers - 6 to 8 Years for Engineers

Description We are seeking skilled and motivated program managers to join the Maps Program space, within Amazon’s Last Mile Analytics and Quality team. We drive initiatives by partnering with various departments to make delivering for Amazon a safe and stress free experience for our drivers, while also improving Last Mile operational efficiency. We are growing at a rapid pace and have set high expectations for ourselves. Our Program Managers help us cut through ambiguity and drive execution of projects at a pace that match these expectations. An ideal candidate has a background in transportation and excellent program management skills. We expect Program Managers (PM) to own the projects they are assigned. They should identify the inter linkages between different teams involved, understand the data flowing in from each of these team’s processes and generate insights through a combination of data savvy and business acumen. This job requires PMs who are proficient in written as well as verbal communication. They need to be able to operate in an environment where correlation ambiguity exists. To be successful, the PM should be willing to learn an upskill themselves on latest processes which help them handle Map –spatial data. Responsibilities Include, But Are Not Limited To Define Goals/KPIs for a project and constantly measure progress against set goals Lead initiatives to identify and eliminate root causes of defects in order to drive efficiency in Last Mile Routing and Navigation Coordinate with Stakeholders (Tech, Product and Operations) to drive projects end to end Conveying updates on issues, operational status and business insights internally as well as externally during weekly/monthly reviews Must be able to systematically escalate any issues in the operating plan to the relevant owners and follow through on the resolutions. Key job responsibilities Manages program solutions for last-mile delivery challenges through problem identification, scoping, creating, and delivering long-term solutions while cross-collaborating with technology, product, program, business, and operations teams. Develops and implements strategies for continuous map updates and improvements based on driver feedback, delivery data, and emerging technologies. Coordinates cross-functional projects to standardize procedures and eliminate root causes of map data inaccuracies within current systems. Extracts valuable insights from spatial and non-spatial datasets using various tools and techniques, while supporting map data evaluations and quality assessment through insight sharing. Basic Qualifications 2+ years of program or project management experience Preferred Qualifications Knowledge of Lean principles and DMAIC methodology Experience in MS Access and SQL Experience in requirement gathering and ability to write clear and detailed requirement document Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Dev Center India - Hyderabad Job ID: A3047953

Project Role : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Security Information and Event Management (SIEM) Good to have skills : NA Minimum 2 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an L1 SOC Analyst you are the first line of defense in monitoring and triaging security alerts. You will work primarily with Splunk SIEM and Sentinal One EDR to identify potential security incidents, validate alerts, and escalate them according to the defined SOPs. You will ensure real-time visibility and log health while flagging suspicious activity promptly. This role is essential to ensuring timely detection and reduce noise from false positives. Roles & Responsibilities: --Basic Security Knowledge: Understanding of key concepts (malware, phishing, brute force, etc.) -SIEM Familiarity: Exposure to Splunk UI and understanding how to read/query logs -Exposure to CrowdStrike Falcon Console: Ability to view and interpret endpoint alerts -Alert Triage: Ability to differentiate between false positives and real threats -Alert Triage & Investigation: Experience investigating escalated alerts using SIEM or EDR -Hands-on experience with CrowdStrike EDR investigations -Ticketing Systems: Familiarity with platforms like JIRA, ServiceNow, or similar -Basic understanding of cybersecurity fundamentals -Good analytical and triage skills -Basic Scripting: Awareness of PowerShell or Python for log parsing -SOAR Exposure: Familiarity with automated triage workflows -Security Certifications: Security+, Microsoft SC-900, or similar certification -Operating System Basics: Windows and Linux process and file system awareness -Monitor real-time alerts and dashboards in Splunk SIEM -Perform initial triage on alerts and determine severity/priority -Escalate validated security incidents to L2 analysts per defined SOPs -Follow pre-defined SOAR playbooks to document or assist in response -Ensure alert enrichment fields are populated (host info, user details, etc.) -Conduct basic log searches to support alert analysis -Perform daily health checks on log sources and ingestion pipelines -Maintain accurate ticket documentation for each alert handled -Participate in shift handovers and team sync-ups for awareness Professional & Technical Skills: -SIEM: Basic log searching, correlation rule awareness -SOAR: Familiarity with playbook execution- -Security Concepts: Basic understanding of malware, phishing, brute force -Tools: Sentinal One EDR, Splunk SIEM Additional Information: - The candidate should have minimum 2 years of experience in Security Information and Event Management (SIEM). - This position is based at our Gurugram office. - A 15 years full time education is required.

Job Summary We are seeking a skilled and detail-oriented OpsRamp Event Management Engineer to configure manage and optimize HP OpsRamp for centralized event and incident management. The ideal candidate will have hands-on experience with ITOM tools strong knowledge of event correlation and a passion for improving operational efficiency through automation and observability. Responsibilities Configure and maintain OpsRamp for event ingestion correlation and incident management. Integrate OpsRamp with various monitoring tools e.g. SolarWinds Nagios Zabbix etc and ITSM platforms e.g. ServiceNow Develop and fine tune event policies suppression rules and escalation workflows. Implement AI based noise reduction and root cause analysis features. Create dashboards and reports for real time visibility into infrastructure health. Collaborate with cross functional teams to ensure seamless event flow and incident resolution. Maintain documentation for configurations SOPs and best practices. Participate in on-call rotations and provide L2 L3 support for event management issues. 3 years of experience in IT Operations or Infrastructure Monitoring. Hands on experience with OpsRamp configuration and administration. Strong understanding of event correlation alert suppression and incident workflows. Familiarity with SNMP Syslog APIs and cloud monitoring integrations. Experience with scripting Python PowerShell or Shell for automation. Knowledge of ITIL processes especially Incident and Event Management. Excellent problem-solving and communication skills.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience. Job Description About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to supportnamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and explorationemerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 5+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice To Have Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts. Certifications in cloud architecture, ML engineering, or data science specializations, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs). Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years

Position Title: Lead Product Security Engineer Reports To: Principal Security Architect As our Lead Product Security Engineer you’ll own threat modeling, secure‑by‑design guidance, and hands‑on engineering for an industry‑leading SaaS platform that powers automotive retail for millions of users. You’ll work autonomously, partner closely with our Application Security (AppSec) scanning team, and influence product teams across the company—from design through incident response. Working hours: Late‑shift schedule with ~4 hours daily overlap with US Mountain Time (e.g., 1 p.m. – 10 p.m. IST). Some flexibility is expected; we value outcomes over clock‑watching. Key Responsibilities : 1. Leadership & Strategy: Champion security culture and coach teams on secure product design Lead the development and implementation of CDK’s product security strategy Design and implement technology and processes supporting CDK’s product security strategy Effectively partner across security, technology, and business teams Provide technical security leadership to product teams Develop effective product security metrics and use them to drive improvements 2. Product Security Standards: Guide the development and continuous improvement of product security standards and guidelines in alignment with risk and compliance requirements Drive accurate measurement and reporting of CDK’s compliance with product security standards Drive adoption of product security standards across product, technology, and infrastructure teams 3. Product Security Architecture and Engineering: Lead and evolve product threat‑modeling practices (STRIDE, PASTA, attack trees, etc.) Guide development of secure product architecture practices across technology teams Develop repeatable engineering and automation patterns to enable “secure by default” design Solve challenging product and application security problems 4. Security Operations: Work with CDK Security Operations team to identify and enable detection for advanced application security problems Drive good development practices in orchestration and automation of macro response workflows Be a force multiplier in rare product security incident scenarios 5. Data-Driven Security: Help wrangle and correlate security data from multiple tools; prototype metrics, dashboards, or ML models that reveal real risk trends. Advise on data quality, cleansing, and correlation strategies. Required Qualifications: Education: Bachelor’s degree in Computer Science or Information Security , or an equivalent experience Experience: 8+ years overall in software / security engineering, including 5+ years focused on product or application security in complex SaaS or e‑commerce environments. Demonstrated ownership of threat modeling for modern cloud architectures (microservices, serverless, containers). Proven ability to drive security architecture and standards autonomously. Hands‑on experience with at least one major public cloud and IaC (Terraform, CloudFormation, ARM, etc.). Excellent written and verbal communication skills; able to translate deep technical issues into business‑focused recommendations. Nice‑to‑have: Prior work with data‑privacy or data‑protection regulations (GDPR, CCPA, DPDP India, etc.). Data science / analytics chops: experience cleaning, correlating, or modeling large security datasets. Strong software‑engineering background, especially in Python (automation, data pipelines, small tools). Familiarity with secure SDLC and AppSec scanning pipelines (SAST, DAST, SCA, container security). Experience mentoring or leading distributed teams. Why join us? Impact at scale – Your work secures a platform that processes billions of dollars in automotive transactions yearly. Autonomy & ownership – We hire experts and trust them to deliver. Global collaboration – Work with top engineers across India and North America, shaping security practices company‑wide. Growth – Influence adjacent initiatives in data security, metrics, and architecture alongside our Principal Security Architect. At CDK, we believe inclusion and diversity are essential in inspiring meaningful connections to our people, customers and communities. We are open, curious and encourage different views, so that everyone can be their best selves and make an impact. CDK is an Equal Opportunity Employer committed to creating an inclusive workforce where everyone is valued. Qualified applicants will receive consideration for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, creed or religion, age, disability (including pregnancy), results of genetic testing, service in the military, veteran status or any other category protected by law. Applicants for employment in the US must be authorized to work in the US. CDK may offer employer visa sponsorship to applicants.

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description We are seeking a highly skilled and experienced Senior CyberArk PAM Engineer to serve as an engineering lead for the design, architecture, and implementation of our CyberArk Privileged Access Management (PAM) solution. This critical role will drive our corporate configuration efforts, ensuring the PAM platform aligns with our Zero Trust principles, multi-cloud strategy (AWS, Azure, GCP, private cloud), and deep integration with ServiceNow as the primary gateway for all privileged access. This individual will be instrumental in fortifying our cybersecurity posture and significantly reducing organizational risk. Key Responsibilities: PAM Component Design & Architecture: Lead the end-to-end technical design and architecture of the CyberArk PAM solution, including Privilege Cloud, Secure Cloud Access (SCA), and its integration points within our complex multi-cloud and hybrid environments. PAM Policy Definition: Develop, implement, and continuously refine granular PAM policies, including the Master Policy, for Zero Standing Privileges (ZSP) and dynamic, risk-based Just-in-Time (JIT) access for all human and machine identities. This includes establishing specific policies for Windows Servers, Linux Servers, macOS/Endpoints (via EPM), and cloud platforms. PAM Connector Deployment & Management: Design, deploy, configure, and secure all customer-hosted CyberArk connector servers (Windows and Linux) across our on-premises and multi-cloud environments, ensuring robust connectivity and performance. Application Integrations (Lead): Lead the technical design and initial setup of all critical CyberArk integrations, with a strong emphasis on: ServiceNow Integration: Configure CyberArk for seamless integration with ServiceNow MID Servers for secure credential retrieval by ServiceNow applications (Discovery, Orchestration) and for facilitating JIT access workflows initiated from ServiceNow. Secrets Hub Integration: Ensure proper integration with CyberArk Secrets Hub for centralized management of application secrets. SIEM (Splunk) Integration: Design and implement the integration of CyberArk security events and audit data with our Splunk SIEM for centralized monitoring, correlation, and enhanced threat detection. Service Health & Monitoring Development: Develop and implement comprehensive service health and monitoring solutions for the CyberArk platform and its connectors, integrating alerts and metrics into ServiceNow's ITSM and SecOps modules for centralized visibility and automated incident creation. End-User / Admin Workflow Development: Lead the design and development of ServiceNow-driven privileged access workflows, ensuring they are intuitive, efficient, and align with our security objectives. Audit & Compliance Configuration: Configure CyberArk's unified audit capabilities, session recording, and reporting to meet stringent audit and regulatory requirements, ensuring data is accessible and correlated within ServiceNow for streamlined compliance reporting. AI Integration: Explore and integrate CyberArk CORA AI features for AI-driven policy recommendations and enhanced security intelligence. Qualifications To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related engineering discipline. 8+ years of progressive experience in Identity and Access Management (IAM) and cybersecurity, with at least 4-5 years of hands-on experience specifically with CyberArk PAM solutions (Privilege Cloud, PSM, CPM, EPM). Technical Skills: Deep expertise in CyberArk PAM suite architecture, deployment, and administration. Strong understanding of Zero Trust principles, Least Privilege, ZSP, and JIT access methodologies. A passion for security Proven experience with cloud platforms (AWS, Azure, GCP) and securing cloud identities/workloads. Hands-on experience with ServiceNow integrations (ITSM, SecOps, CMDB, workflows, MID Servers). Experience with SIEM integration (Splunk preferred) and security event correlation. Familiarity with scripting (e.g., PowerShell, Python) for automation and API integrations. Knowledge of Windows, Linux, and macOS operating systems for endpoint and server policy configuration. Knowledge of ServiceNow platform development or ServiceNow studio would be beneficial Ability to work collaboratively in a highly distributed team. Ability to communicate technical concepts to business stakeholders. A passion for security. Ability to work in team-oriented environment where collaboration is encouraged and valued Ability to demonstrate self-direction, self-learning, and independent problem solving Ability to combine data and knowledge from various sources to determine the optimal approach for planning and execution Soft Skills: Excellent analytical, problem-solving, and communication skills. Ability to consult with various stakeholders, lead technical discussions, and mentor junior team members. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

JOB DESCRIPTION About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. QUALIFICATIONS Strong hands-on experience with one or more EDR platforms (e.g., CrowdStrike Falcon, SentinelOne, Microsoft Defender for Endpoint, Sophos Intercept X, Trend Micro Apex One). Knowledge of MITRE ATT&CK framework and threat detection techniques. Familiarity with malware analysis, endpoint forensics, and log analysis. Experience with SIEM platforms (e.g., Splunk, QRadar, LogRhythm) for correlation and alerting. Scripting knowledge (PowerShell, Python, Bash) for automation and custom detection. Understanding of endpoint operating systems (Windows, macOS, Linux) and their security internals. Familiarity with enterprise IT infrastructure, Active Directory, and networking basics. Experience with ticketing and incident management tools (e.g., ServiceNow, JIRA). Understanding of compliance standards Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

JD - SOC Analyst We are looking for 1-3 years of SOC Analyst Essential Responsibilities: Splunk Deployment Splunk implementation and configuration Correlation rules Performance Optimization / Performance Tuning Monitors alerting tools and also handles escalated incidents from the Helpdesk, Physical Security, Network Team, and Customers. Triages alerts as they come in and act appropriately. Respond to common alerts in a consistent and repeatable manner from multiple alerting sources. Responsible for triage of a variety of alerts stemming from C2 beaconing, malware, or phishing attempts. Provide escalations of unknown threats to Level 2. Identify abnormal security events and trigger the call list/distribution list. Qualifications/Requirements: Minimum IT Diploma Holder or equivalent. Ability to work in rotating shifts and also be on-call outside of shift hours on a regular and recurring basis. Possess personal and professional integrity. Individuals will be required to submit to a background examination. Good oral and written communication skills. Possess a desire to solve problems logically. Desired Characteristics: Ability to perform logical problem-solving. Possess a basic understanding of enterprise-grade technologies including operating systems, databases, and web applications. Ability to read and understand primary system data including security event logs, system logs, application logs, and network traffic. Demonstrate understanding of basic internet traffic concepts (e.g. DNS, HTTPS, HTTP). Network infrastructure knowledge (e.g. router, switch, firewall). Security best practices for operating systems such as Microsoft Windows or Redhat. Experience working in high-performing teams and understanding the dynamics of teamwork in a SOC environment. Desired Characteristics: Ability to perform logical problem-solving. Possess basic understanding of enterprise grade technologies including operating systems, databases and web applications. Ability to read and understand basic system data including security event logs, system logs, application logs, and network traffic. Demonstrate understanding for basic internet traffic concepts (e.g. DNS, HTTPS, HTTP). Network infrastructure knowledge (e.g. router, switch, firewall). Security best practices for operating systems such as Microsofot WIndows or Redhat. Experience of working in high performing teams and understand the dynamics of teamwork in a SOC environment. About TechDefence. Techdefence Labs is Information Security Consulting Company based out of Ahmedabad with 200+ Customers on Board. We master into Cyber Security Assurance & compliance program, Threat and vulnerability Management and Security Operation Center Services.

Join our Team About this opportunity: Join our dynamic team at Ericsson in the critical role of Emergency Management. This integral position ensures the prevention or reduction of incident impacts, engages in thorough investigations/recurrence analysis, and classifies problems while disseminating preventive measures. As a member of our team, you will take the lead in adequate planning, initiating, and driving toward the most effective recovery, always keeping a clear and decisive line of communication open with all relevant parties. As your career advances, you will also have the opportunity to enhance emergency Support services and mentor other team members. This position is classified JS 3-4 for MS Incident Management only. What you will do: Manage Incidents 24x7 and ensure minimal disruption to the service and fast service restoration Setting up of Technical & Management Bridge to facilitate communication during incidents. Ensure timely communication / information flow towards internal & external stakeholders Engage relevant stakeholders & Initiate management and technical issues when required to protect Ericsson and/or customer interests. Ensure RT adopts optimal attitude which balances best path to resolution and protection of customer interests. Log all Incident details, allocating approved categorization and prioritization. Keep users informed about their Incidents’ status at agreed intervals. Associate Incidents with other records (i.e. Changes, Problems, repetitive incidents). Provide first-line investigation and diagnosis of all Incidents via major incident report. Ensure recovery team remains sensitive to collection and correlation of data for potential RCA post event. Bring up critical outages to Problem Manager after restoration for RCA (As defined in MSTOP). Always remain available during the designated shift and/or roster period. The skills you bring: Minimum of 4 years’ experience from Telecom or IT Industry. Previous IM experience in similar positions it’s a plus. Understanding of generic telecom applications like BSCS(Billing System), IN(Charging System), Provisioning, CRM, ERP, Mediation, DWH, VAS. The candidate should have knowledge of ITIL or other industry practices related to Service Management and Lifecycle. The candidate should show solid sense of urgency and take responsibility and be able to work under pressure. The candidate should have solid skills in leadership and communication. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Noida Req ID: 770738

Job Title: Medical Annotation Intern Location : Hyderabad Type : Internship Internship Duration : 3-6 months Job Type: Onsite Department : Research & Development Industry : Health Tech / Digital Health Salary: ₹5,000 – ₹10,000/month (based on qualifications and Knowledge) About Us: At MHN , we're redefining how individuals engage with their health through research-backed, AI-driven tools. Our mission is to personalize preventive health solutions by combining clinical science, behavioural data, and user-centric design. The Role: We're looking for R&D Interns and Research Associates who are passionate about healthcare innovation. This role is ideal for those with a research-oriented mindset and an interest in bridging the gap between science, data, and digital health technology. Key Responsibilities Health Research & Analysis: Conduct in-depth research on various health parameters and their correlation with lifestyle and behavioural factors, as assigned by management. Stay current with the latest clinical studies, scientific literature, and public health data to support evidence-based development. Insight Generation: Translate complex medical data into clear, actionable insights aimed at improving individual and population health outcomes. Identify trends, risk factors, and preventive strategies based on data analysis and scientific research. Product & Dashboard Integration: Collaborate with the tech and product teams to integrate research findings into MHN’s health templates, AI dashboards, and personalized user interfaces. Ensure all outputs reflect clinical accuracy, relevance, and user applicability. Cross-Functional Collaboration: Work closely with multidisciplinary teams—including the development, product, and design teams—to drive research-backed innovation. Actively contribute to brainstorming sessions, rapid prototyping, and the validation of health solutions to ensure scientific integrity and user-centric design. Team Building & Leadership: Contribute to the foundation of MHN’s R&D division by developing research strategies, creating knowledge repositories, and documenting best practices. Required: Bachelor's or Master's degree in Public Health , Life Sciences , Biomedical Sciences , Medicine , Psychology , or related fields. Strong critical thinking and research synthesis skills. Excellent written and verbal communication, especially simplifying complex ideas. Good to Have: Prior internship or coursework in public health, health tech, or clinical research. Familiarity with data interpretation or tools like Excel, PubMed, or public health dashboards. Interest in digital health, AI, or behaviour change science. What We Offer Direct impact on health outcomes through technology. Mentorship from cross-functional teams (product, research, clinical). Fast-paced, learning-focused environment. Flexible work arrangements. Opportunity to transition from intern to full-time (if applicable). After completing the Internship, for Full-Time the CTC will be ₹1.8 LPA – ₹3 LPA

Overview ProductChamps is seeking an AI-proficient Senior Content Associate (remote) to enable our ever-growing roster of clients to achieve their organic growth goals. In this role, you'll work in the founder's office to leverage your content writing and strategy skills to execute data-driven content strategies that propel our clients to the top of search rankings. Key Responsibilities Co-develop and execute content strategies aligned with client goals and SEO best practices. Create high-impact, engaging articles optimized for target keywords and search intent. Conduct in-depth keyword research and competitive analysis using tools like Ahrefs and SEMrush. Optimize existing content for improved search performance and rankings. Analyze data to identify actionable insights and inform content optimization. Collaborate with startup founders and internal teams to refine content strategies. Stay updated with the latest SEO trends and algorithm changes to adapt strategies effectively. Qualifications Experience : 2+ years in marketing (with a strong emphasis on SEO), or equivalent skill level in SEO. Candidates with a practical experience in the intersection of SEO and AI/LLMs will be preferred. This is not a dealbreaker. If you believe you have reason to apply in spite of not meeting this criteria, drop an email to prashant@productchamps.com Skills : Algorithmic/data-driven approach to problem-solving. Exceptional writing and editing skills with a keen eye for detail. Proficiency in keyword research tools (e.g., Ahrefs, SEMrush). Familiarity with content management systems (CMS) and basic HTML. A solid understanding of SEO principles and best practices and consistent reading of update literature. Excellent time management and prioritization skills. Basic understanding of marketing and revenue correlation in startup environments. Desired Attributes : Passion for technology and startups. Ability to thrive in a fast-paced, high-growth environment. Curiosity and eagerness to learn new concepts quickly. Strong communication skills and the ability to explain complex ideas simply.

Join our Team About this opportunity: Join our dynamic team at Ericsson in the critical role of Emergency Management. This integral position ensures the prevention or reduction of incident impacts, engages in thorough investigations/recurrence analysis, and classifies problems while disseminating preventive measures. As a member of our team, you will take the lead in adequate planning, initiating, and driving toward the most effective recovery, always keeping a clear and decisive line of communication open with all relevant parties. As your career advances, you will also have the opportunity to enhance emergency Support services and mentor other team members. This position is classified JS 3-4 for MS Incident Management only. What you will do: Manage Incidents 24x7 and ensure minimal disruption to the service and fast service restoration Setting up of Technical & Management Bridge to facilitate communication during incidents. Ensure timely communication / information flow towards internal & external stakeholders Engage relevant stakeholders & Initiate management and technical issues when required to protect Ericsson and/or customer interests. Ensure RT adopts optimal attitude which balances best path to resolution and protection of customer interests. Log all Incident details, allocating approved categorization and prioritization. Keep users informed about their Incidents’ status at agreed intervals. Associate Incidents with other records (i.e. Changes, Problems, repetitive incidents). Provide first-line investigation and diagnosis of all Incidents via major incident report. Ensure recovery team remains sensitive to collection and correlation of data for potential RCA post event. Bring up critical outages to Problem Manager after restoration for RCA (As defined in MSTOP). Always remain available during the designated shift and/or roster period. The skills you bring: Minimum of 4 years’ experience from Telecom or IT Industry. Previous IM experience in similar positions it’s a plus. Understanding of generic telecom applications like BSCS(Billing System), IN(Charging System), Provisioning, CRM, ERP, Mediation, DWH, VAS. The candidate should have knowledge of ITIL or other industry practices related to Service Management and Lifecycle. The candidate should show solid sense of urgency and take responsibility and be able to work under pressure. The candidate should have solid skills in leadership and communication. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Noida Req ID: 770738