111 Regular Expressions Jobs

Key Responsibilities: Develop and maintain automated web scraping scripts using Python libraries such as Beautiful Soup, Scrapy, and Selenium. Optimize scraping pipelines for performance, scalability, and resource efficiency. Handle dynamic websites, CAPTCHA-solving, and implement IP rotation techniques for uninterrupted scraping. Process and clean raw data, ensuring accuracy and integrity in extracted datasets. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Leverage APIs when web scraping is not feasible, managing authentication and request optimization. Document processes, pipelines, and troubleshooting steps for maintainable and reusable scraping solutions. Ensure compliance with legal and ethical web scraping practices, implementing security safeguards. Requirements: Education : Bachelors degree in Computer Science, Engineering, or a related field. Experience : 2+ years of Python development experience, with at least 1 year focused on web scraping. Technical Skills : Proficiency in Python and libraries like Beautiful Soup, Scrapy, and Selenium. Experience with regular expressions (Regex) for data parsing. Strong knowledge of HTTP protocols, cookies, headers, and user-agent rotation. Familiarity with databases (SQL and NoSQL) for storing scraped data. Hands-on experience with data manipulation libraries such as pandas and NumPy. Experience working with APIs and managing third-party integrations. Familiarity with version control systems like Git. Bonus Skills : Knowledge of containerization tools like Docker. Experience with distributed scraping solutions and task queues (e.g., Celery, RabbitMQ). Basic understanding of data visualization tools. Non-Technical Skills : Strong analytical and problem-solving skills. Excellent communication and documentation skills. Ability to work independently and collaboratively in a team environmen

Shift: 7 pm IST to 4 am IST Responsibilities Architect, engineer, implement, and administer Splunk solutions in highly available, redundant, distributed computing environments. Lead design and deployment of new Splunk environments, including clustered, multi-site, and large-scale configurations. Perform Splunk forwarder deployment, configuration, and troubleshooting across diverse platforms. Integrate, curate, and normalize diverse log sources into Splunk, ensuring CIM compliance and high data fidelity. Configure and maintain Splunk dashboards, searches, and alerts to meet PCI DSS logging requirements, and deliver evidentiary reports to auditors to support compliance verification Develop advanced content for SIEM correlation, including custom correlation searches, dashboards, and alerts. Administer, maintain, and tune Splunk components (Indexers, Search Heads, Forwarders, Cluster Masters, Deployer, Deployment Server, and License Master). Proactively monitor platform health using internal logs, KPIs, and custom monitoring solutions to identify and address performance bottlenecks. Lead capacity planning, storage forecasting, and continuity of operations for large Splunk deployments. Optimize Splunk performance through configuration tuning, search optimization, and data model acceleration strategies. Troubleshoot complex ingestion, performance, and search-related issues, identifying root causes and implementing sustainable fixes or workarounds. Reproduce customer or internal issues, document findings, and work with Splunk Support or vendor engineers for resolution. Create, maintain, and enforce Splunk engineering documentation, including SOPs, design diagrams, architecture runbooks, and KB articles. Develop custom scripts and automation tools (e.g., Python, Bash, PowerShell) to improve Splunk administration, onboarding, and operational workflows. Utilize Splunk APIs for integration with enterprise tools and automation frameworks. Serve as a technical escalation point for Splunk Engineer I/II and Splunk Admin roles. Administer, tune, and troubleshoot Splunk Enterprise Security, maintaining data models, correlation searches, and notable events pipeline. Configure and manage HEC (HTTP Event Collector) connections and onboard new data sources. Manage Splunk RBAC (Role-Based Access Control) including SAML and AD group integrations for search heads and API endpoints. Collaborate with security, infrastructure, application, and DevOps teams to ensure Splunk aligns with enterprise monitoring, compliance, and operational goals. Design and implement Splunk solutions supporting compliance frameworks (e.g., PCI DSS, HIPAA, SOX), including dashboard/report development and audit evidence. Research, evaluate, and implement new Splunk apps, add-ons, and integrations to enhance platform capabilities. Mentor junior Splunk engineers and guide cross-functional teams on Splunk best practices, search optimization, and data onboarding. Requirements 8+ years of IT experience in technical engineering, security operations, or infrastructure roles. 5+ years of direct, hands-on Splunk engineering and administration experience in large-scale, distributed environments. Expert-level knowledge of Splunk Enterprise and Splunk Enterprise Security, including architecture, clustering, and scaling strategies. Proficiency in Linux/Unix administration and shell scripting. Strong knowledge of Splunk APIs, including use for automation and tool integrations. Expertise in regex, field extractions, and key-value parsing. Strong programming/scriptingskills in one or more languages (Python, Bash, PowerShell, Perl, JavaScript). Experience with storage systems (DAS, SAN, object storage) and understanding of their performance implications for Splunk indexing. Solid understanding of networking (switches, routers, firewalls, load balancers, DNS, SSL/TLS) and how it impacts Splunk architecture. Familiarity with Enterprise Management and automation tools. Experience with Splunk ITSI (preferred) and other premium Splunk apps. Strong knowledge of data formats including JSON, XML, and CSV. Demonstrated experience delivering Splunk-based compliance reporting and audit support. Strong communication skills for interacting with technical and non-technical stakeholders. Proven ability to lead projects, mentor team members, and provide architectural guidance. Education & Certifications Bachelors degree in Computer Science, Information Systems, or related technical field (or equivalent experience). Splunk Certified Architect and/or Splunk Certified Consultant preferred. Additional certifications in security, cloud, or automation tools are a plus.

Responsibilities Running and maintaining 1E Tachyon Platform Backend Infrastructure (On Prem SaaS) Responsible for improving Digital Employee Experience (DEX) Communicate findings and recommendations clearly to internal stakeholders and clients Support project planning, scoping, and execution with a focus on quality and efficiency Developing custom instructions for workplace experience and Selfheal capabilities for devices Guarantied state rule creation and deployment Device Stability and Experience monitoring and troubleshooting Tachyon agent and Server Health monitoring ITSM connect with Tachyon Desktop management integration (OS Patching, Software Delivery) Inventory Management for endpoints Collaborate with other collaborators to build, test, and release automation and selfheal capabilities Work with 1E Vendor for any raised issues related to 1E Solutions and Platform Train support staff and help with technical issues as necessary Work with client organizations to identify and address business needs Design and execute SQL queries, dashboards, and reports using BI tools (e.g., Power BI, Tableau) Leverage telemetry data to perform in-depth analysis of system performance, user behavior, and usage patterns to identify actionable insights and optimization opportunities Ensure accurate and consistent reporting, adhering to data governance standards and aligning with internal and customer expectations Create visually compelling and outcome-oriented PowerPoint presentations to effectively communicate insights, recommendations, and project progress to internal stakeholders and clients Analyze incident volume trends, knowledge base (KB) articles, and support operations data to uncover automation and process improvement opportunities Collaborate with cross-functional teams to drive outcomes, ensuring timely delivery and adherence to project governance frameworks Develop analytical frameworks and models to support strategic decision-making and continuous improvement initiatives Maintain a high standard of data quality, integrity, and security across all analytics outputs and dashboards Mentor and guide junior analysts and contribute to best practices Lead cross-functional initiatives, coordinating with business and technical stakeholders to ensure timely, outcome-driven delivery of analytical insights Own end-to-end delivery of analysis projects, from requirement gathering to final presentation, driving clarity and measurable impact Set best practices, guide the analytics team in prioritizing tasks, and foster a culture of continuous improvement and proactive problem-solving Monitor, validate, and analyze outputs from various Tachyon modules, ensuring they align with expected behaviors and deliver measurable value to customers Desired Skills and Qualifications B.Tech/B.E. in Any Specialization, MCA in Any Specialization, M.Tech in Any Specialization, or any Bachelors degree Experience of working on 1E Tachyon Experience of working on other 1E tools such as Nomad, Shopping, Nightwatchman, etc. Working knowledge of desktop management related technologies and processes, including Microsoft SCCM, Active Directory, networking, monitoring, patching, group policy, image development, and advanced desktop troubleshooting Experience in Nexthink, SysTrack Thorough knowledge of SQL/SQLite, PowerShell, RESTful services, Web Services, WMI, Regular Expressions (RegEx), Windows Operating System; understanding of JSON, XML formats Experience of consuming APIs Understanding of Windows server and client administration Good understanding of Group Policy, DNS, and DHCP administration Experience in enterprise endpoint management solutions including modern management with Microsoft Intune, SCCM, VMWare WorkspaceOne Nice to Have Skills Problem-solving attitude Collaborative team spirit Good communication skills with the ability to represent in global meetings/forums/customers Good understanding of network infrastructure Knowledge of Cloud Technologies Excellent problem solving and analytical skills Ability to work independently and as part of a team Must be able to multi-task, change direction, set priorities, and meet deadlines. Mandatory Key Skills 1E Nightwatchman,Backend Infrastructure,SaaS,On-Prem,ITSM Integration,Inventory Management,SQL,SQLite,PowerShell,Web Services,WMI,RegEx,JSON,XML,Windows Server,Group Policy,DNS,DHCP,Microsoft SCCM,Intune,1E Tachyon*,DEX*,Endpoint Management*,1E Nomad*,1E Shopping*

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS - Bachelor's degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains. - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM. - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS - Bachelor's degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains. - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM. - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS - Bachelor's degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM. - Ability to effectively write and evaluate diverse subject matter across various domains. - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION Note: This a fixed term contractual role. Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS - Bachelor's degree in a relevant field or equivalent professional experience - 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM. - Ability to effectively write and evaluate diverse subject matter across various domains. - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS - Bachelor's degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains. - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM. - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS - Bachelor's degree in a relevant field or equivalent professional experience - 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM. - Ability to effectively write and evaluate diverse subject matter across various domains. - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS - Bachelor's degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains. - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM. - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS - Bachelor's degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM. - Ability to effectively write and evaluate diverse subject matter across various domains. - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS - Bachelor's degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM. - Ability to effectively write and evaluate diverse subject matter across various domains. - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS - Bachelor's degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains. - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM. - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

About The Role Project Role : Technology Platform Engineer Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration. Must have skills : Email Security Good to have skills : Microsoft 365 Security & Compliance Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Platform Engineer, you will be responsible for creating production and non-production cloud environments using the proper software tools. Your role involves deploying the automation pipeline and automating environment creation and configuration.Roles & Responsibilities:-Deploy and manage Proofpoint Email Security solutions to protect against phishing, malware, and other email threats.-Assist in configuring security policies tailored to individual user needs.-Configure recipient verification processes to ensure the authenticity of email communications.-Manage whitelisting and blacklisting of domains, IP addresses, and email addresses to strengthen security.-Develop and modify security rules based on service requests to address specific threats.-Analyze and refine quarantine policies to enhance threat detection and email filtering.-Diagnose and resolve inbound/outbound email delays and routing issues for seamless communication.-Categorize emails for whitelisting and blacklisting to maintain a secure email environment.-Continuously monitor and analyze email traffic to detect and mitigate potential threats.-Collaborate with Registration, DNS, and M365 teams to integrate new or acquired domains into the existing setup.-Configure external email banners and manage exceptions for vendors/partners.-Expertise in creating and modifying Regular Expressions based on security requirements.-Understand URL rewriting scenarios and manage exceptions as needed.-Hands-on experience in diagnosing and resolving URL isolation issues.-Define and implement email security policies to ensure compliance and protect sensitive data.-Conduct training sessions to educate employees on email security best practices and risk mitigation.-Experience in managing security awareness training platforms and initiate related training and take initiative to train users via email or assigning new training on ongoing threats.-Work closely with relevant teams to integrate email security measures with broader security strategies.-Generate reports on security incidents, trends, and the effectiveness of implemented measures.-Stay updated on emerging email security threats and recommend improvements to strengthen the security posture.-Deep understanding of SPF, DKIM, DMARC, and hands-on expertise with EFD to enhance domain security against phishing and malware threats.- Hands on Experience in TAP, TRAP, CTR, PhishAlarm, Email DLP- Experience in Proofpoint IMD for the protection from Phish, Malware, Spam etc.Professional & Technical Skills: - Must To Have Skills: Proficiency in Email Security.- Good To Have Skills: Experience with Microsoft 365 Security & Compliance.- Strong understanding of cloud security principles.- Knowledge of email security protocols and encryption methods.- Experience in configuring and managing email security solutions.- Ability to analyze and respond to email security incidents. Additional Information:- The candidate should have a minimum of 3 years of experience in Email Security.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are a seasoned Cyber Security professional with a strong background in incident response and security operations. You thrive in dynamic environments and are passionate about safeguarding organizational assets from evolving cyber threats. With over 5 years of experience in a Security Operations Center (SOC) or Incident Response role, you possess a deep understanding of various security frameworks and are adept at correlating and analyzing data from multiple log sources. Your technical expertise spans across network protocols, data protection, and cloud environments, making you a versatile and invaluable asset to any security team. You are a proactive communicator, capable of articulating complex security issues to diverse audiences, and you are committed to continuous learning and improvement in the ever-evolving field of cybersecurity. What Youll Be Doing: Leading investigations and serving as a subject matter expert while correlating data across multiple log sources and systems. Continually improving cyber security procedures and documentation to enhance the security posture of the organization. Communicating with users, vendors, and other IT personnel on security-related issues, providing expert guidance and support. Staying up to date on evolving cyber threats, identifying their impact, and detecting them in our environment. Managing infrastructure security systems such as HIDS/NIDS, SIEM, NGAV, EDR, UBA, WAF, DLP, and vulnerability management tools to meet regulatory requirements. Collaborating with business groups to establish and maintain strong working relationships. The Impact You Will Have: Enhancing the overall security posture of Synopsys by leading critical incident response efforts. Reducing the impact of cyber threats on Synopsys by investigating and responding to security incidents swiftly and effectively. Improving the security infrastructure and ensuring compliance with internal and external regulatory requirements. Providing expert guidance on security-related issues, fostering a culture of security awareness and best practices. Driving continuous improvement in cyber security procedures and documentation, contributing to the organizations resilience against cyber threats. Staying ahead of evolving cyber threats and ensuring that the organization&aposs defenses are robust and up-to-date. What Youll Need: Strong written and verbal communication skills, with the ability to establish and maintain strong working relationships with business groups. Working knowledge of Data Loss Prevention concepts/products, Data Encryption concepts, and endpoint management. Technical knowledge of common network protocols and design patterns including TCP/IP, HTTPS, FTP, SFTP, SSH, RDP, CIFS/SMB, NFS. Familiarity with various cloud environments (AWS, Azure, O365). Understanding of MITRE ATT&CK and NIST Cyber Security Frameworks standards and requirements and ability to apply them to an enterprise environment. In-depth understanding of Windows operating systems and general knowledge of Unix, Linux, and Mac operating systems. Functional and practical experience with at least one development or scripting language/framework (e.g., PowerShell, Python, .Net) and regular expressions. Bachelor&aposs Degree in Information Security, Computer Science, or equivalent combination of education, training, and experience. Hold or willingness to obtain certifications such as GCIH, GCFE, GCFA, GCSA, GMON, CISSP, or other relevant security certifications. Fluent in writing, reading, and speaking English. Who You Are: You are a proactive and analytical thinker with a passion for cyber security. Your ability to communicate complex security issues to diverse audiences is second to none. You are a team player who thrives in collaborative environments and takes pride in your ability to stay ahead of cyber threats. With a commitment to continuous learning and professional development, you are always looking for ways to enhance your skills and knowledge. You bring a blend of technical expertise and practical experience to the table, making you an invaluable asset to any security team. The Team Youll Be A Part Of: The Synopsys Information Security team is a dedicated group of professionals focused on protecting the organization&aposs assets from cyber threats. As a Staff Info Security Operations Engineer, you will be an integral part of the Security Operations group, responsible for responding to and mitigating the impact of security incidents. The team values collaboration, continuous improvement, and staying ahead of the evolving threat landscape. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. Show more Show less

Location: Chennai (onsite) Kindly send your resume to harisha.r@kryonknowledgeworks.com/ 91+ 93619 12010 .NET Developer (3 to 6 Years Experience) Job Summary: We are seeking a skilled .NET Developer with 3 to 6 years of hands-on experience to join our development team. The ideal candidate should have strong expertise in ASP.NET (Web Forms) and Microsoft SQL Server, with proficiency in writing and optimizing stored procedures. Knowledge of MVC architecture is a strong advantage. Required Skills & Qualifications: 3 to 6 years of experience in .NET development. Strong experience in ASP.NET (Web Forms). Solid hands-on experience with Microsoft SQL Server and stored procedures. Good understanding of object-oriented programming (OOP) concepts. Familiarity with version control systems like Git. Strong analytical and problem-solving skills.

About the Role As a Senior Data Analyst, you have a solid understanding of best practices and can execute projects and initiatives without supervision from others.You are able to create advanced-level insights and recommendations.You are able to lead analytics efforts with high complexity, mostly independently. Responsibilities The Senior Data Analyst role will support data scientists working within the Domains of the Research Data Platform. Domains are functional units thatare responsible fordelivering one or more data products, often through data science algorithms. Supporting this work could lead to a wide range of different analytical activities. For example, you may be asked to dive into large datasets to answer questions from product owners or data scientists; you may need to perform large-scale data preparation (data prep) in order to test hypotheses or support prototypes; you may be asked to review the precision and recall of data science algorithms at scale and surface these as dashboard metrics. You will need to have a keen eye for detail, good analytical skills, andexpertisein at least one data analysis system.Above all, youwill need curiosity, dedication to high quality work, and an interest in the world of scientific research and the products that Elsevier creates to serve it. Because you will need to communicate with a range of stakeholders around the world, we ask for candidates todemonstratea high levelof English. Requirements Minimum work experience of 5 years Coding skills in at least one programming language (preferably Python) and SQL Familiarity with common string manipulation functions or libraries such as regular expressions (regex) Prior exposure to data analysis in a tabular form, for example with Pandas or Apache Spark/Databricks Experience of using basic statistics relevant to data science such as precision, recall and statistical significance Knowledge of visualization tools such as Tableau/Power BI is a plus Experience of working with Agile tools such as JIRA is a plus Stake Holder Management Build andmaintainstrong relationships with Data Scientists and Product Managers. Align activities with Data Scientists and Product Managers. Present achievements and project status updates, both written and verbally, to various stakeholders. Competencies Collaborates well and works effectively as part of a team Takes initiative and is proactive in suggesting approaches or solutions to problems Drives for results by taking a task to a polished conclusion Key Results Understand the requirements of a given task Identify, gather,prepareand refine data Interpret and understand large data sets Report findings to stakeholders through effective story telling Formulate recommendations and requirements Identifyand address new opportunities

About The Role - Grade Specific Core Python Web/App Server IIS /Tomcat Apache/Boss Web Services (SOAP / REST) XML / XSLT / JSON / REGEX PostgreSQL / MS SQL / MySQL NetConf, Yang Modelling, Tail-f/NCS/NSO Unix / Linux Desired Skills (Good to have as value add to this role) Micro services architecture TCP/IP & Networking concepts Virtualization domain (VMware or OpenStack) Education &/ Additional Certifications BE/B.Tech in Computer Science/IT/Software Systems

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google Cloud Platform Architecture Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture, NumPy Dataiku exp of at least 3 years and Python.- Good to know on creating and handling partitioned dataset in Dataiku.- Good with Python, SQL, data handling using pandas, NumPy (Pandas and NumPy are must and must know it in depth) and basics of regex.- Strong understanding of cloud computing concepts, Jira, Team City, Git, Data Modeller and Scripting in Shell(Linux).- Experience with application development frameworks and methodologies.- Familiarity with DevOps practices and tools for continuous integration and deployment.- Ability to design scalable and secure cloud-based applications.- Ability to work on GCP big query and use terraform as base for managing the code changes. Additional Information:- The candidate should have minimum 7.5 years of experience in Google Cloud Platform Architecture.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Responsibilities: You will be responsible for analyzing spatial data obtained from various vendors to determine the dataset that meets client requirements. By evaluating the spatial data, you will assess whether the vendor data provides an advantage to client maps or introduces new records. Your role will involve analyzing the data and providing recommendations to clients on whether to proceed with or reject the data from the vendor. Requirements: To be successful in this role, you should have at least 5 years of previous experience in a similar role or industry. You should have a strong understanding of GIS map components and terminology, as well as the ability to work with geographical information systems (GIS) to visualize, model, and analyze linear and non-linear features. Experience with systematization of rendering and visualization techniques, vector data, GIS navigation projects, and knowledge of Javascript and SQL would be advantageous. You should be proficient in preparing, converting, and extracting GIS data and shape files. Familiarity with software such as FME, ArcGIS, QGIS, and AutoCAD is preferred but not mandatory. Additionally, you should have the ability to diagnose gaps in existing processes, identify opportunities for improvement, and implement initiatives to meet client and internal commitments consistently. As part of your responsibilities, you will need to QA with an understanding of mapping processes like POIs, AOIs, and linear features. You will be required to assess search results in the Maps/GIS domain, participate in transition teams, coordinate training for team members, ensure process compliance, and perform tasks such as downloading files using Postman, preprocessing vendor data, uploading files to server and remote locations, and creating configurations for datasets. Your role will also involve performing in-depth data analysis using regular expressions, analyzing results of geocoding, reverse geocoding, and data matching, as well as creating reports and subreports using SQL-based tools. You will be expected to deliver detailed reports with data summaries and in-depth analyses. What we offer: At GlobalLogic, we prioritize a culture of caring and inclusivity. You will have the opportunity to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. We are committed to your continuous learning and development, offering various programs, training curricula, and hands-on opportunities for personal and professional growth. You will work on interesting and meaningful projects that have a real impact on clients around the world. We believe in the importance of balance and flexibility, offering different career areas, roles, and work arrangements to help you achieve a harmonious work-life balance. GlobalLogic is a high-trust organization where integrity is key, and you can trust that you are part of a safe, reliable, and ethical global company. About GlobalLogic: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to leading companies worldwide. Since 2000, we have been at the forefront of the digital revolution, creating innovative digital products and experiences. We collaborate with clients to transform businesses and redefine industries through intelligent products, platforms, and services.,

Please find the Job Description for Email Security: Location: Hyderabad Experience: 3 to 5 years Notice period: Immediate to 30days Job Description We are looking for Email Security Analyst to strengthen our defenses against evolving email threats and ensure rapid effective incident response Key Responsibilities Monitor and analyze email traffic to identify potential threats and ensure optimal filtering accuracy Investigate and respond to email related security incidents coordinating with internal teams to ensure swift resolution Handle escalations from support teams and customers providing expert guidance and actionable insights Develop and refine detection mechanisms using existing tools to address gaps in threat coverage Collaborate with cross functional teams to ensure consistent communication and alignment during incident investigations Maintain detailed documentation of incidents investigations and resolutions to support continuous improvement and knowledge sharing Qualifications 3 - 5 years of experience in email or web based security incident investigation and response At least 2-3 years of experience working with large datasets and performing data analysis Proficiency in crafting detection rules using Regular Expressions familiarity with YARA is a plus Deep understanding of email protocols headers and analysis tools especially within O365 environments Experience in handling customer escalations and delivering clear investigative reports Should have an experience of handling a team of 6-8 Strong grasp of the email threat landscape and emerging attack vectors Familiarity with Kusto Query Language KQL for threat hunting and data analysis Ability to interpret data and present findings in a clear insightful manner Strong communication skills both written and verbal with fluency in English Willingness to participate in a global on-call rotations 247 Shifts

As an ideal candidate for the position, you should possess 1 to 2 years of experience and hold a Bachelor's degree in Computer Science, B.Tech in IT or CSE, MCA, MSc IT, or any related field. The work mode is onsite, and the shift timings are from 12 PM to 10 PM (Afternoon Shift). Your primary responsibilities will include designing and implementing complex algorithms for critical functionalities, conducting system analysis, design, and documentation tasks, obtaining performance metrics of applications to optimize efficiency, managing project milestones and deadlines efficiently, developing highly scalable, multi-threaded applications, ensuring code quality through unit testing, and maintaining high standards of code documentation and structure. Additionally, you will be expected to utilize tools and techniques for detecting and resolving memory leaks, including heap dumps and thread dump analysis for debugging and performance optimization. In terms of technical background, you should have a strong understanding of Java, web services, and Design Patterns. Your expertise should extend to code optimization and performance improvement, with knowledge of tools like Java/Mysql Profiler for profiling and optimization. You must possess the ability to debug, identify problems, determine root causes, and apply effective solutions to resolve issues. Experience in writing unit tests using tools like JUnit, Mockito, or TestNG is essential for ensuring code reliability and correctness. Familiarity with tools for memory leak analysis, heap dumps, and thread dump analysis is crucial for troubleshooting performance bottlenecks. Moreover, your skill set should include proficiency in Regular Expressions, Solr, ElasticSearch, NLP, Text Processing, or any ML libraries. Being a fast learner with exceptional problem-solving and troubleshooting abilities is highly desirable for this role.,

We are looking for a Solutions Analyst to join our Trademark Content team in Chennai/ Bangalore. This is an amazing opportunity to work on Product/Brand. The team consists of 10 Colleagues and is reporting to the Manager, Product Management. About You experience, education, skills, and accomplishments Job/IT related education or certification or equivalent professional experience Proven experience in data analysis Ability to independently query relational and NoSQL databases Ability to design JSON records and schemas Ability to find patterns in large amounts of unstructured data using python or similar scripting language Adept at MS Excel(advanced) and other MS Office suite applications. Working knowledge of Windows and Unix file systems. Strong problem-solving skills, analytical thinking High attention to detail and accuracy, and a very systematic work style Eagerness to permanently improve content and data structure knowledge and technical skills, partly by means of self-education Knowledge of intellectual property, trademark filing process and usage of trademark information would be advantageous. Skills and experience are desirable in these fields: XML, DTDs, XML Schema, XSLT AWS Cloud Computing Unix (Linux) as well as common Unix-Tools like pattern matching, regular expressions Good English speaking and writing skills Proven ability to work both independently and as a member of a team It would be great if you also had . . . Knowledge of intellectual property, trademark filing process and usage of trademark information would be advantageous. XML, DTDs, XML Schema, XSLT What will you be doing in this role? Analysis of trademark data and underlying processes Data design, development and maintenance of XML schemas and DTDs Data analysis of large amounts of structured and unstructured data Querying relational and NoSQL (MongoDB) databases Data design, development and maintenance of JSON and JSON Schema. Assistance in authoring mapping specifications Standardization of data and persistent quality assurance and improvement Perform tests and development of a set of criteria /roadmap for routine tests to assess data accuracy/quality Active cooperation in designing, building-up and maintaining of a collection of representative sample documents Help with process analysis and to improve and optimize workflows Provide content support for diverse products Close collaboration with local colleagues as well as contributors at international locations Collaboration with software engineering and quality assurance teams for data delivery. Monitoring of trademark offices and data suppliers sites regarding data and content, relevant news and changes Hours of Work 8 hours per day (Full-time) Workdays: Monday to Friday

DESCRIPTION Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. BASIC QUALIFICATIONS - Bachelor's degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains. - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM. - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

As a Java Developer with 3 to 6 years of experience, your primary responsibility will be to translate application storyboards and use cases into high-quality, efficient code. You will design, develop, and maintain clean, reusable Java code while taking full ownership of modules to ensure timely deployment to production. It will be essential for you to optimize application performance, quality, and responsiveness, as well as identify and resolve bottlenecks, bugs, and technical issues. Maintaining high standards of code quality, organization, and automation will also be a key part of your role. Additionally, you will need to write well-structured, testable, and efficient code and investigate new technologies and approaches, presenting them for architectural review. Participation in code reviews and providing constructive feedback to peers, along with staying current with the latest technologies and trends, will be expected from you. You should possess a strong proficiency in Core Java, including OOP, Collections, Threads, Regular Expressions, and Exception Handling. A solid understanding of object-oriented programming and the ability to write clean, readable Java code are crucial. Knowledge of scalable application design principles, along with strong experience in Relational Databases, SQL, and ORM technologies such as MySQL and Hibernate, is required. Proficiency in software design and development using Java, J2EE, Spring Boot, Spring Security, and Hibernate is essential. Experience with test-driven development and familiarity with CI/CD processes for build and deployment will be advantageous. Key requirements for this role include experience with Java 8/Java 11, expertise in the Spring Framework, and hands-on experience with relational databases. You should also have proficiency in building scalable REST APIs capable of handling 20k+ simultaneous users, coupled with a willingness to work with new technologies and strong communication skills. Desirable skills include experience with React JS and Javascript frameworks, knowledge of Microservices architecture, and familiarity with Redis, AWS S3, AWS Lambda, and NoSQL databases. CI/CD experience is a plus. Brilworks is committed to supporting your growth in these areas where necessary!,