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associate ml data operations go ai operations

Amazon

<div>
 
 Description
 
 
 
 This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies &amp; Robotics teams by enabling automation, which includes real-time &amp; offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.
 
 
 An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction.
 
 
 Key job responsibilities
 
 
 The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours&rsquo; time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair &amp; sufficient lighting (2) workspace / work related data shouldn&rsquo;t be accessed by anyone other than employee
 
 
 
 The Candidate Is Expected To Demonstrate
 
 
 
 <ul>
 <li>
 Willingness to work in Non-tech role for contract duration of 6 months
 </li>
 <li>
 Ability to audit image/video/text based Jobs
 </li>
 <li>
 Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention &amp; focus on screen
 </li>
 <li>
 Willingness to work on incremental targets/goals on quality &amp; productivity
 </li>
 <li>
 Fast Pace of implementation &amp; consistent performance
 </li>
 <li>
 Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player
 </li>
 <li>
 Readiness to come to office for few days (when required, applicable for associates working from home)
 </li>
 <li>
 Willing to switch ON laptop camera while on virtual meetings.
 
 
 </li>
 </ul>
 A day in the life
 
 
 Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon&rsquo;s work policy.
 
 
 Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.
 
 
 
 About The Team
 
 
 
 Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Maharashtra - D80
 
 
 Job ID: A2946953
</div>

Associate, ML Data Operations, GO-AI Operations

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience plus a Master's degree).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
 </li>
 <li>
 Experience with developing at least one deep learning model for business impact Experience debugging throughput and latency issues in AI.
 </li>
 <li>
 Experience handling large-scale data transformation pipelines for batch inference of ML models.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 In this role, you will partner with teams across the company to apply Google&rsquo;s best Data Science techniques to Google&rsquo;s biggest enterprise opportunities. You will partner with Research, Core Enterprise ML and Machine Learning (ML) Infrastructure teams to build solutions for the enterprise.
 
 
 The Googler Technology and Engineering (GTE) Data Science team's mission is to transform Google Enterprise business operations, supply chain, IT support and internal tooling with Artificial Intelligence (AI) and advanced analytics, enable operations and product teams to succeed in their advanced analytics projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. Build cross-functional services for use across Corp Engineering, and educate product teams on advanced analytics and ML.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Define and report Key Performance Indicators and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team. Work with PM, User Experience (UX), and Engineering to contribute to metric-backed annual OKR setting.
 </li>
 <li>
 Come up with hypothesis to enhance performance of AI products on offline and online metrics through research on techniques around prompt engineering, RAG, supervised finetuning, in-context learning, dataset augmentation, tool-calling efficacy, planning capabilities and feedback loop with reinforcement learning.
 </li>
 <li>
 Design and develop ML strategies for data enrichment such as autoencoder based latent variables, complex heuristics, etc.
 </li>
 <li>
 Evolve variance reduction and simulation strategies to increase reliability of experiments with small sample sizes.
 </li>
 <li>
 Convert business problems into unsupervised and supervised ML modeling problems, build these model prototypes from scratch to justify business impact hypothesis.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Product Data Scientist, Technology and Engineering

Amgen

<div>
 Join Amgen's Mission to Serve Patients
 
 
 If you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. At Amgen, our shared mission&mdash;to serve patients&mdash;drives all that we do. It is key to our becoming one of the world&rsquo;s leading biotechnology companies. We are global collaborators who achieve together&mdash;researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It&rsquo;s time for a career you can be proud of.
 
 
 
 Associate Software Engineer
 
 
 
 
 Live
 
 
 
 
 What You Will Do
 
 
 
 Let&rsquo;s do this. Let&rsquo;s change the world. In this vital role We are looking for a creative and technically skilled
 
 Associate Software Engineer
 
 to help design and build cutting-edge
 
 AI-powered solutions
 
 for the pharmaceutical industry. In this role, you'll develop intelligent systems that surface the most relevant insights from clinical trials, scientific literature, regulatory documents, and internal knowledge assets. Your work will empower researchers, clinicians, and decision-makers with faster, smarter access to the right information.
 
 
 <ul>
 <li>
 Design and implement search algorithms using NLP, machine learning, semantic understanding, and deep learning models
 </li>
 <li>
 Build and fine-tune models for information retrieval, query expansion, document ranking, summarization, and Q&amp;A systems
 </li>
 <li>
 Support integration of LLMs (e.g., GPT, BERT, BioBERT) for semantic and generative search.
 </li>
 <li>
 Train and evaluate custom models for biomedical named entity recognition, relevance ranking, and similarity search.
 </li>
 <li>
 Build and deploy vector-based search systems using embeddings and vector databases
 </li>
 <li>
 Work closely with platform engineers to integrate AI models into scalable cloud-based infrastructures (AWS, Azure, GCP)
 </li>
 <li>
 Package and deploy search services using containerization (Docker, Kubernetes) and modern MLOps pipelines.
 </li>
 <li>
 Preprocess and structure unstructured content such as clinical trial reports, research articles, and regulatory documents
 </li>
 <li>
 Apply knowledge graphs, taxonomies, and ontologies (e.g., MeSH, UMLS, SNOMED) to enhance search results
 </li>
 <li>
 Build and deploy recommendation systems models, utilize AIML infrastructure, and contribute to model optimization and data processing
 </li>
 <li>
 Experience in Generative AI on Search Engines
 </li>
 <li>
 Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. .
 </li>
 <li>
 Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis.
 </li>
 <li>
 Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI.
 </li>
 <li>
 Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging.
 </li>
 <li>
 Continually researching current and emerging technologies and proposing changes where needed.
 </li>
 <li>
 Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
 
 
 </li>
 </ul>
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in computer science &amp; engineering preferred with 2-4years of software development experience OR,
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science &amp; engineering preferred with 2-5years of software development experience
 </li>
 <li>
 1&ndash;3 years of experience building AI/ML models, ideally in search, NLP, or biomedical domains.
 </li>
 <li>
 Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers
 </li>
 <li>
 Experience with search technologies like Elasticsearch, OpenSearch, or vector search tools
 </li>
 <li>
 Solid understanding of NLP techniques: embeddings, transformers, entity recognition, text classification
 </li>
 <li>
 Hands on experience with various AI models , GCP Search Engines, GCP Cloud services
 </li>
 <li>
 Proficient in programming language AI/ML, Python, , Java Crawlers ,Java Script, SQL/NoSQL , Databricks/RDS ,Data engineering ,S3 Buckets, dynamo DB
 </li>
 <li>
 Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience in AI/ML , Java, Python
 </li>
 <li>
 Experienced with Fast Pythons API, Graphql
 </li>
 <li>
 Experience with design patterns, data structures, data modelling, data algorithms
 </li>
 <li>
 Experienced with AWS /Azure Platform, Building an deploying the code
 </li>
 <li>
 Experience in Posgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS ,S3 Buckets
 </li>
 <li>
 Knowledge of LLMs, generative AI, and their use in enterprise search
 </li>
 <li>
 Experience in Google cloud Search and Google cloud Storage
 </li>
 <li>
 Experience with popular large language models
 </li>
 <li>
 Experience with Langchain or llamaIndex framework for language models
 </li>
 <li>
 Experience with prompt engineering, model fine tuning
 </li>
 <li>
 Knowledge of NLP techniques for text analysis and sentiment analysis
 </li>
 <li>
 Experience in Agile software development methodologies
 </li>
 <li>
 Experience in End to End testing as part of Test Driven Development
 
 
 </li>
 </ul>
 
 Good To Have Skills
 
 
 
 <ul>
 <li>
 Willingness to work on Full stack Applications
 </li>
 <li>
 Exposure to MLOps tools like MLflow, Airflow, or SageMaker
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Excellent analytical and troubleshooting skills.
 </li>
 <li>
 Strong verbal and written communication skills.
 </li>
 <li>
 Ability to work effectively with global, remote teams.
 </li>
 <li>
 High degree of initiative and self-motivation.
 </li>
 <li>
 Ability to manage multiple priorities successfully.
 </li>
 <li>
 Team-oriented, with a focus on achieving team goals.
 </li>
 <li>
 Strong presentation and public speaking skills.
 
 
 </li>
 </ul>
 
 Thrive
 
 
 
 
 What You Can Expect Of Us
 
 
 
 As we work to develop treatments that take care of others, we also work to care for our teammates&rsquo; professional and personal growth and well-being.
 
 
 In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
 
 
 
 Apply now
 
 
 
 
 for a career that defies imagination
 
 
 
 In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.
 
 
 
 careers.amgen.com
 
 
 
 Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
 
 
 We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
</div>

Associate software engineer

DAZN India

<div>
 
 Is your next career move to work in a team which uses data, reporting and analytical skills to help answer business questions to make DAZN a data-driven company?
 
 
 DAZN is a tech-first sport streaming platform that reaches millions of users every week. We are challenging a traditional industry and giving power back to the fans. Our new Hyderabad tech hub will be the engine that drives us forward to the future. We&rsquo;re pushing boundaries and doing things no-one has done before. Here, you have the opportunity to make your mark and the power to make change happen - to make a difference for our customers. When you join DAZN you will work on projects that impact millions of lives thanks to your critical contributions to our global products
 
 
 This is the perfect place to work if you are passionate about technology and want an opportunity to use your creativity to help grow and scale a global range of IT systems, Infrastructure, and IT Services. Our cutting-edge technology allows us to stream sports content to millions of concurrent viewers globally across multiple platforms and devices. DAZN&rsquo;s Cloud based architecture unifies a range of technologies to deliver a seamless user experience and support a global user base and company infrastructure.
 
 
 This role will be based in our brand-new Hyderabad office. Join us in India&rsquo;s beautiful &ldquo;City of Pearls&rdquo; and bring your ambition to life. Considering the Urgency, we are only seeking Immediate Joiners
 
 
 
 Job Title
 
 :
 
 Data Scientist
 
 
 
 
 Location: Hyderabad
 
 
 
 
 Work Mode: Work from Office.
 
 
 
 
 Seeking Immediate Joiners only
 
 .
 
 
 
 Job Summary:
 
 
 
 We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI). The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs).
 
 
 You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us!
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Role Recommendation Engine, for Data accuracy-Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases. With an Overall experience of (2-6 Years)
 
 
 &bull; Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications.
 
 
 &bull; Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects.
 
 
 
 Required Skills:
 
 
 
 &bull; Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch.
 
 
 &bull; Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures.
 
 
 &bull; Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs.
 
 
 &bull; Programming: Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib.
 
 
 &bull; Data Handling: Experience working with structured and unstructured data, including text, images, and time-series.
 
 
 
 Good to have Skills:
 
 
 
 &bull; Exposure to tools like Hugging Face Transformers for working with LLMs.
 
 
 &bull; Understanding of MLOps practices, including CI/CD pipelines for ML models.
 
 
 &bull; Experience with GPU-accelerated computing.
 
 
 &bull; Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning).
 
 
 &bull; Cloud Platforms: Familiarity with cloud services like AWS
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, or a related field.
 
 
 &bull; 3 - 6+ years of professional experience in Machine Learning and Deep Learning.
 
 
 &bull; Proven track record of deploying ML/DL models in production environments.
 
</div>

Data Scientist

NxtWave

<div>
 
 We&rsquo;re seeking a detail-oriented and dependable Business Operations Associate (BOA) to support our creative production operations. As a BOA, you'll play a critical role in managing vendor payments, equipment movement logs, and footage tracking, ensuring that nothing slips through the cracks during our high-volume shoot and post-production cycles. This role sits at the intersection of finance, logistics, and data hygiene, and is key to making sure our creative engine runs efficiently across all campuses and departments.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We&rsquo;re seeking a detail-oriented and dependable Business Operations Associate (BOA) to support our creative production operations.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 
 Vendor &amp; Finance Support:
 
 </li>
 <li>
 Collect and verify bills, quotes, and payment requests from vendors, freelancers, and rental partners
 </li>
 <li>
 Coordinate with the Finance team to ensure the timely submission and processing of payments
 </li>
 <li>
 Maintain up-to-date cost trackers for equipment, props, travel, and logistics
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Footage &amp; Drive Management:
 
 </li>
 <li>
 Log and track the movement of hard drives and footage between campuses, editors, and post teams
 </li>
 <li>
 Perform first-level file naming and folder hygiene checks before QC or editorial handoff
 </li>
 <li>
 Coordinate with Creative Ops Lead for NAS/cloud uploads and footage backups
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Documentation &amp; Reporting:
 
 </li>
 <li>
 Maintain clear records for all shoot-related assets, expenses, and approvals
 </li>
 <li>
 Ensure internal documentation standards are followed (Google Sheets, Drive, Trello, or internal tools)
 </li>
 <li>
 Support Creative Operations in preparing weekly summaries and report updates
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Team &amp; Vendor Communication:
 
 </li>
 <li>
 Liaise with editors, production assistants, and stakeholders on asset handovers and follow-ups
 </li>
 <li>
 Coordinate with vendors for delivery timelines, invoice clarifications, and payment statuses
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 1&ndash;3 years of experience in back-office coordination, preferably in media, production, or operations
 </li>
 <li>
 Strong command of Excel/Google Sheets and cloud storage tools (Google Drive, Dropbox, etc.)
 </li>
 <li>
 Attention to detail and the ability to manage multiple threads without dropping the ball
 </li>
 <li>
 Basic understanding of production workflows, file formats, and data organization
 </li>
 <li>
 Good communication skills for coordination with both creative and admin teams
 </li>
 <li>
 Highly organized, deadline-driven, and discreet with sensitive data
 </li>
 <li>
 Bonus: Experience using tools like Trello, Notion, or ERP systems
 </li>
 </ul>
 
 
 
 
 
 Why This Role Matters
 
 
 <ul>
 <li>
 Be the operational backbone behind a fast-growing content team
 </li>
 <li>
 Gain exposure to creative workflows and media production logistics
 </li>
 <li>
 Work with a multidisciplinary team of editors, producers, cinematographers, and finance
 </li>
 <li>
 Opportunity to grow into production operations, post-production management, or project coordination roles
 </li>
 </ul>
</div>

Production Coordinator

Business Operations Associate - Media & Production

ScienceLogic

<div>
 
 Who We Are...
 
 
 
 In a world of constant change, we're leading the charge towards truly autonomous enterprises. Our cutting-edge platform harnesses the power of automation and generative AI to revolutionize how businesses manage and optimize their IT operations.
 
 
 We're not just adapting to digital transformation&mdash;we're accelerating it. Our solutions bring business and operations leaders together, unlocking new levels of innovation, efficiency, and scalability. We empower organizations to deliver superior customer experiences and drive revenue growth in an always-on, always-mobile world.
 
 
 At ScienceLogic, we're building the foundation for Autonomic IT&mdash;a future where IT operations are self-healing, self-optimizing, and aligned perfectly with business objectives. Our team of visionaries is reshaping the $18+ billion IT operations market, creating cost-optimized, efficient, and next-level capabilities for enterprises worldwide.
 
 
 
 What We&rsquo;re Looking For&hellip;
 
 
 
 ScienceLogic is seeking an experienced, data-driven SEO, CRO, and GEO Specialist to lead and scale our organic growth, on-site engagement, and visibility across traditional and AI-powered search experiences. The ideal candidate will have a proven track record of developing and implementing effective strategies that increase organic search rankings, drive high-intent traffic, and optimize on-site user experience to improve conversion rates.
 
 
 
 This role operates at the intersection of search behavior, user experience, and AI-driven discovery&mdash;helping us optimize not only for search engines but for the next generation of generative search tools.
 
 
 
 
 What You&rsquo;ll Be Doing&hellip;
 
 
 
 <ul>
 <li>
 Strategy Development: Design and execute comprehensive SEO, GEO, and CRO strategies to enhance visibility across search engines and generative AI platforms, increase website engagement, and drive measurable business growth.
 </li>
 <li>
 Keyword Research: Conduct in-depth keyword research to identify opportunities and optimize content accordingly.
 </li>
 <li>
 On-Page Optimization: Optimize website elements, including meta tags, headers, URLs, and content, to align with SEO best practices and improve user experience.
 </li>
 <li>
 Technical SEO: Collaborate with the development team to ensure website architecture, coding, and structure are optimized for search engines.
 </li>
 <li>
 GEO Optimization: Design and implement strategies to increase discoverability through AI-driven experiences (e.g., Google SGE, Bing Copilot, Perplexity). Optimize structured data, summaries, and content for generative results.
 </li>
 <li>
 Content Collaboration: Work closely with content creators to ensure SEO and GEO principles are integrated into content development from ideation to publication.
 </li>
 <li>
 Link Building: Develop and implement effective link-building strategies to enhance domain authority.
 </li>
 <li>
 CRO Implementation: Use A/B testing, heatmaps, and analytics to test hypotheses and implement conversion-focused improvements on landing pages and key site paths.
 </li>
 <li>
 Analytics and Reporting: Monitor, analyze, and report on SEO, GEO, and CRO performance using tools like Google Analytics, heatmapping platforms, and SEO tools. Translate insights and actionable next steps that directly impact marketing KPIs
 </li>
 <li>
 Stay Updated: Keep abreast of industry trends, search engine algorithm updates, generative AI advancements in SEO, and CRO technologies to ensure strategies remain effective.
 
 
 </li>
 </ul>
 
 Qualities you possess&hellip;
 
 
 
 <ul>
 <li>
 Bachelor's degree in Marketing, Communications, Information Technology, or a related field.
 </li>
 <li>
 5-8 years of experience in SEO and CRO, with a demonstrated history of improving search rankings, driving organic traffic, and optimizing user journeys.
 </li>
 <li>
 Hands-on experience with AI-influenced search technologies such as Search Generative Experience (SGE) or Bing Copilot.
 </li>
 <li>
 Proficiency in SEO tools such as Google Analytics, GA4, SEMrush, Moz, Ahrefs, and CRO platforms such as Optimizely, VWO, Hotjar, or Microsoft Clarity.
 </li>
 <li>
 Strong understanding of search engine algorithms, ranking factors, structured data, GEO, and CRO best practices.
 </li>
 <li>
 Familiarity with WordPress or similar content management platforms.
 </li>
 <li>
 Experience with website analytics, data analysis, and reporting.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Ability to manage multiple projects and meet deadlines in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Working knowledge of HTML, CSS, and JavaScript.
 </li>
 <li>
 Familiarity with Lighthouse, PageSpeed Insights, and other diagnostic tools.
 </li>
 <li>
 Certifications in Google Analytics, SEO, or CRO-related programs.
 </li>
 <li>
 Experience in B2B SaaS or enterprise tech markets.
 </li>
 <li>
 Proven ability to scale organic traffic through programmatic SEO or hub-spoke content architectures.
 
 
 </li>
 </ul>
 
 About ScienceLogic
 
 
 
 ScienceLogic empowers intelligent, automated IT operations and observability, freeing up time and resources, and driving business outcomes with actionable insights. ScienceLogic&rsquo;s AIOps platform sees broadly across clouds and on-premises, enabling business service visibility with relationship mapping, and workflow automation to eliminate manual tasks. Trusted by thousands of organizations across the globe, ScienceLogic&rsquo;s technology has been proven for scale by the world&rsquo;s largest service providers, enterprises, and government agencies.
 
 
 www.sciencelogic.com
</div>

SEO Analyst

Explore 120+ Associate ml data operations go ai operations in Hyderabad this October. Find roles across top companies and apply now to boost your career.