SEO
Execute search engine optimization tactics, including ongoing evaluation of keywords, content, campaign performance tracking, and link building.
Continually evaluate and improve the effectiveness of campaigns through keyword ranking, geo-targeting, conversion rates, search engine referrals, site traffic and backlinks
Hands-on experience in Google Ads, Facebook Ads & Other Native Ads, measure & report performance of all Search Engine Marketing campaigns.
Experience in working with overseas clients.
SEM
Digital Advertising experience in the industry.
Manage the strategy and setup all paid campaigns in Google AdWords, Bing Ads, and others.
Hands-on experience in creating Results driving ads, expand keyword coverage, develop compelling ad copy, implement bid management strategies, Daily monitoring & Ad optimization.
Track, measure and analyze all initiatives to report on SEM ROI.
Should be good at new scaling-up opportunities keyword/search queries, new targeting methods
Qualifications and Skills
Proven experience as SEO & SEM Executive.
In-depth knowledge of the various paid marketing channels and technologies, including paid search (Google AdWords), retargeting, Facebook Ads, Native Ads, etc.
Experience handling paid marketing budgets and forecasting/reporting results
Establish and maintain scalable processes that ensure best practices in campaign and lead management
Excellent understanding of digital marketing concepts and best practices.
Solid understanding of performance marketing, conversion, and online customer acquisition.
Working knowledge of HTML, CSS, and JavaScript development and constraints.

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Exciting Opportunity for React Native Developers!
🚀 Are you a passionate problem-solver who loves creating top-notch applications? Look no further! At Codebuddy, we're opening doors for talented React Native Developers like you!
What We Offer:
🌟 Challenging projects that push your skills to the limit!
🚀 Collaborative environment where innovation thrives!
💼 Competitive pay reflecting your hard work and dedication!
📚 Opportunities for continuous learning and career growth!
👥 A team that values your creativity and expertise!
What You'll Do:
🛠 Develop JavaScript applications using React.js or React Native.
🤝 Collaborate cross-functionally, working on diverse infrastructures.
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💻 Work with React, Redux, Node.js, and contribute to code automation.
What We Look For:
💡 Strong JavaScript, React, API knowledge.
🏗 Familiarity with Object-Oriented Programming.
📝 GIT proficiency and ability to document code.
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Join Us and Enjoy:
💰 Fair compensation for your exceptional efforts!
🤝 A supportive team environment where your ideas matter!
📈 Ongoing opportunities for professional development!
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If you're ready to take your skills to new heights and be part of a dynamic team, we want you! Apply now at Codebuddy and embark on an exciting journey of creativity and growth. Don't miss out on this incredible opportunity! 🚀
Greetings!
Hiring for the below position with a leading IT MNC.
Role: Guidewire Developer
Positions: Senior Executive / Manager / Senior Manager
Experience: 6-20 years
Location: PAN India (Hybrid work)
Details: (Key Skills)
Senior Executive:
Guidewire Claim Center -Configuration with ACE certification
6-9 years of experience
Manager:
Guidewire Billing Center - Configuration and Integration experience
9-12 years of experience
Sr.Manager:
Guidewire Policy Center (PC) - Configuration and integration experience
13-20 years of experience
Job Purpose and Impact
The Engineer Consultant, will join the Global Supply Chain team within the Digital Technology and Data function (also known as IT). As a Software Engineer you will provide best practice solutions to architect, design and develop new and existing digital solutions for the organization's digital portfolio. In this role, you will discover and deliver innovative solutions to complex and varied problems to enable the company's digital future. You will bring clarity to ambiguous scenarios and apply specialized, in depth, and broad knowledge of architectural, engineering and security practices to ensure your solutions are scalable, resilient and robust and will share knowledge on modern best practices and technologies to the shared engineering community.
Key Accountabilities
- Apply innovative and advanced software engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied software solutions and incorporate security practices in newly developed and maintained applications.
- Lead peer code review sessions to review code, coach peers and ensure code quality.
- Take the lead in the assigned agile team to adopt agile philosophies, facilitate agile ceremonies and identify continuous improvement opportunities.
- Establish and incorporate the company's engineering and development best practices within the full software development lifecycle including coding standards, code reviews, source control management, building processes, testing and security principles, to deliver high quality code rapidly.
- Lead demonstration and continuous feedback sessions to improve development and help drive the long term vision.
- Build innovation in the engineering community by maintaining and sharing relevant technical approaches and modern skills.
- Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
- Support critical supply chain applications on a rotational on-call basis as/if needed.
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Qualifications
Minimum Qualifications
- Bachelor's degree in a related field or equivalent experience.
- Minimum of four years of related work experience.
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- Experience building Supply Chain applications and implementing Supply Chain software packages (SaaS/PaaS).
- Proven experience in automating pipelines for continuous integration, testing, delivery and security.
- Proven experience in architecting applications, databases, services or integrations.
- Experience with C3.ai and or/ o9 solutions.
- Proven ability to quickly learn new languages and platforms.
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- Participate in Planning meetings and ensure quality at all levels of SDLC
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- Guide and Mentor QA Team on the Testing and Automation Tools, Frameworks and Process
- Measure and Investigate Defect Leakage and provide preventive measures
- Identify CI / CD tools, define branching strategies, setup CI / CD pipeline


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Responsibilities:
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- Familiarity with concepts related to data flow and component-driven architectures with practical experience based on Angular 2+.
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- Generating business with Project and Managed Services
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- Minimum 1 years of working experience on AWS sales
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- Good verbal and written communication skills
- Well versed in customer interactions, meetings and presentations
- Quick and self-learner
- Passionate about technology and its use
- Embrace Challenges and a smart worker
- Team Player, sincere, honest and responsible




DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
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It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
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The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
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- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
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- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
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- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
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- Understand the business problems we are solving. Build data science capability that align with our product strategy.
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- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
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- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
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