29 Structured Data Jobs

As an experienced SEO Specialist within the eCommerce industry, you will be responsible for developing and implementing SEO strategies aimed at enhancing organic search rankings, increasing website traffic, and boosting conversions. Your role will involve conducting thorough keyword research, analyzing competitor strategies, and optimizing content to improve overall performance. A key aspect of your responsibilities will be optimizing technical SEO elements, including site architecture, canonicalization, Core Web Vitals, structured data, and server-side rendering. You will be required to perform regular SEO audits using tools such as Screaming Frog, Semrush, and Ahrefs to identify and address any issues that may impact website visibility and performance. Collaboration with developers is essential to ensure that SEO best practices are effectively implemented across various frameworks like Angular and CMS platforms such as Sanity or Strapi. Additionally, you will be responsible for monitoring and analyzing website performance using Google Analytics (GA4) and Google Search Console, providing insightful reports and recommendations based on the data collected. To excel in this role, you should have a minimum of 3-4 years of hands-on experience in a dedicated SEO position, with a strong understanding of technical SEO factors and proficiency in SEO tools like Semrush, Ahrefs, Screaming Frog, and Google Sheets. Your analytical skills, particularly in utilizing GA4 and Google Search Console for performance tracking and optimization, will be crucial to your success. Keeping abreast of the latest SEO trends, algorithm updates, and industry best practices is essential to ensure continuous improvement and innovation in your strategies. Strong communication and collaboration skills will also be beneficial as you work cross-functionally to drive SEO initiatives and achieve business objectives.,

You are a senior professional with at least 6+ years of hands-on experience in Python focusing on AI technologies. Your proficiency lies in Python and you have worked with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. Your expertise includes a solid understanding of machine learning algorithms, model evaluation, and data preprocessing techniques. You have experience dealing with both structured and unstructured data sets. Additionally, you are familiar with version control systems like Git and collaborative development practices. Your strong problem-solving skills enable you to work effectively both independently and as part of a team. Desired Skills: - You have experience in natural language processing (NLP), computer vision, or time-series forecasting. - You are familiar with MLOps tools and practices for model deployment and monitoring. - Your background includes working with Generative AI models such as GPT, LLaMA, or Stable Diffusion. - You have knowledge of prompt engineering, fine-tuning, or embedding techniques for large language models (LLMs). - Hands-on experience with LLM frameworks like LangChain, Haystack, or Transformers (Hugging Face) is a plus. - You understand vector databases (e.g., Postgres, Pinecone) for retrieval-augmented generation (RAG) pipelines. - Any contributions to open-source AI/ML projects or published research would be beneficial. Locations: Hyderabad / Chennai / Bangalore / Pune. If you meet the above criteria and are interested in this opportunity, please share your resume at hr@neev.global or call 9429691736. This is a full-time position that requires you to work in person.,

A career within Actuarial Services will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third-party administrators. You will provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modeling, underwriting, new legislation, and the efficiency of claims or reporting processes. Your role may involve analyzing the impact that new regulations will have on an insurance company's balance sheet or revising business projections to ensure adequate reserves. To stand out and ensure a successful future in a constantly changing world, each individual at PwC needs to be a purpose-led and values-driven leader at every level. The PwC Professional, our global leadership development framework, sets clear expectations across lines, geographies, and career paths. It emphasizes the skills required for success and career progression in the present and future. **Responsibilities:** As a Senior Associate, working as part of a problem-solving team at PwC, your responsibilities include but are not limited to: - Developing self-awareness, addressing development areas, and leveraging feedback and reflection. - Delegating tasks to provide growth opportunities for others, coaching them to achieve results. - Demonstrating critical thinking and structuring solutions for complex business problems. - Utilizing various tools and techniques to extract insights from industry trends. - Reviewing work for quality, accuracy, and relevance, including that of colleagues. - Making informed decisions on tool usage and explaining the rationale behind choices. - Embracing diverse opportunities to gain exposure to different situations and perspectives. - Communicating effectively and influencing others in a structured manner. - Adapting behavior to build strong relationships and upholding ethical standards. - Contributing to the development of AI solutions, including prompt engineering, retrieval-augmented generation, fine-tuning, and multi-agent systems. - Applying econometric modeling techniques like GLMs, time series analysis, and semi-parametric models. - Using machine learning models such as XGBoost, random forests, and support vector machines. - Ensuring compliance with model-related regulatory requirements during model development, validation, and monitoring. - Proficiency in programming languages like Python, R, Databricks, and React. - Enforcing DevOps best practices including version control, CI/CD, test automation, and collaboration. - Designing, developing, and deploying AI models in real-world client environments. - Monitoring AI trends and supporting project delivery to enhance business processes and decision-making. - Collaborating with cross-functional teams to deliver high-quality solutions aligned with client needs. - Supporting business development efforts and internal GenAI assets to grow the firm's practice. **Qualifications:** **Minimum Educational Qualifications:** - A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or related technical fields. **Credentials - Good To Have:** - A master's degree or PhD in a related field from a premium institute is preferred but not required. **Minimum Years of Experience Requirement (Credential):** - 3-4 years of relevant experience.,

As a Decision Analyst at Barclays, you will play a crucial role in driving innovation and excellence in the digital landscape. Your primary responsibility will be to leverage cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. The BUK Decision and Analytics team is dedicated to harnessing the power of data through advanced analytics and data science to drive the performance of the bank. This involves enabling smarter, faster, and more proactive decision-making processes while utilizing information to transform the lives of customers, colleagues, and communities. In this role, you will have the opportunity to work closely with business heads, influencing decision-making through advanced analytics and data science to solve complex business problems. Your success as a Decision Analyst will be dependent on your experience in data mining, building predictive and machine learning models, and understanding machine learning algorithms and their applications. Proficiency in the data science project lifecycle, including use case framing, data exploration, model building, and deployment, along with knowledge of Python and SQL, are essential skills required for this position. Furthermore, possessing strong communication and storytelling skills, as well as problem-solving capabilities, will be highly valued in this role. You will be assessed on essential skills relevant to succeeding in the position, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology expertise. The primary purpose of this role is to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Your key accountabilities will include designing analytics and modeling solutions for complex business problems, collaborating with technology to specify dependencies, developing high-performing solutions, and providing ongoing support to ensure the effectiveness of analytics and models. As an Analyst, you will be expected to perform activities in a timely manner and to a high standard, driving continuous improvement. Depending on the position, you may lead and supervise a team, guide professional development, allocate work requirements, and coordinate team resources. Individuals are also expected to demonstrate a clear set of leadership behaviors or develop technical expertise in their area of expertise. All colleagues are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive in their daily interactions and work responsibilities.,

About Us: We are B2B SaaS Platform pre-dominantly into the HR Space, helping companies and employees w.r.t time, attendance, performance management, payroll management, onboarding and hiring modules. This is one of those products which any HR would need to automate his/her process in any organization. 8 years since we have entered the market, and we do have a client base of around 8500 at present domestically and now we are planning to expand to the US Market Some of our clients are OYO, RR, Dream11, One+, shadi.com and so on. We have recently received Series funding of $57 million as well which is highest in the SaaS world. Few Key Achievements: Company Valuation: 200 million Approximately Annual Revenue as of 2024: 13-14 million USD. 60-65% Year-on year growth Highest funding in the SaaS Space Job Description: Were looking for a hands-on and strategic Head of SEO with strong experience in search, content, and AI-driven growth. In this role, you&aposll lead all aspects of SEOincluding traditional search, answer engine optimization (AEO), generative engine optimization (GEO), and AI automation. Youll shape how our content appears across Google, AI search platforms, and next-gen search tools. This is a key leadership position where you&aposll drive growth using smart automation, structured content, and data-backed decisions. What You&aposll Do: Lead and scale our SEO strategy in all regions (India, US & Middle East) technical, content, and off-page. Build visibility across search engines, AI-powered tools (like Google SGE, Bing, ChatGPT, Perplexity), and voice assistants. Use AI automation tools to research keywords, generate SEO-friendly content, and improve workflows. Optimize content for AEOanswer boxes, featured snippets, and voice search. Develop GEO strategies to increase presence on AI-driven results pages. Use structured data and schema markup to improve content visibility. Monitor SEO performance, search trends, and AI platform updates. Collaborate with writers, developers, and designers to improve site architecture and content. Manage external agencies or freelancers when needed. Report on performance and growth KPIs regularly. What We&aposre Looking For: 8+ years of experience in SEO, ideally in fast-paced digital teams. Deep knowledge of on-page, technical, and off-page SEO. Strong understanding of how AI and search are evolving (AEO, GEO, SGE). Experience using tools like SEMrush, Ahrefs, Surfer, Screaming Frog, etc. Comfortable working with AI tools to help speed up research, content creation, and audits. Familiar with structured data, schema, and website crawling/indexing. Strong analytical mindsetyou know how to turn data into action. B2B SaaS experience Leadership skills with the ability to guide a team or external partners. Mandatory : B2B SaaS experience Nice to Have: Experience with automation tools (e.g. Python scripts, Zapier, Make, APIs). Basic understanding of HTML/CSS and how websites work. Background in e-commerce, SaaS, or content-heavy platforms for multiple regions ( US, Europe, Middle East etc ). Show more Show less

The Head of SEO position based in Hyderabad with 8+ years of experience within the Marketing department involves leading all aspects of SEO, including traditional search, answer engine optimization (AEO), generative engine optimization (GEO), and AI automation. Your role will focus on driving growth through smart automation, structured content, and data-driven decisions. You will be responsible for shaping the appearance of content across Google, AI search platforms, and next-gen search tools. You will lead and scale the SEO strategy in various regions such as India, the US, and the Middle East, focusing on technical, content, and off-page aspects. Building visibility across search engines, AI-powered tools, and voice assistants will be a key part of your responsibilities. Utilizing AI automation tools for keyword research, content generation, and workflow improvements is essential to optimize content for AEO, answer boxes, featured snippets, and voice search. Monitoring SEO performance, analyzing search trends, and staying updated on AI platform changes will be crucial. Collaboration with writers, developers, and designers to enhance site architecture and content quality is necessary. Managing external agencies or freelancers when required and reporting on performance metrics and growth KPIs regularly are also part of the role. The ideal candidate will have at least 8 years of SEO experience, deep knowledge of on-page, technical, and off-page SEO, and a strong understanding of evolving AI and search trends. Experience with tools like SEMrush, Ahrefs, Surfer, Screaming Frog, and comfort working with AI tools for research, content creation, and audits are expected. Familiarity with structured data, schema markup, and website crawling/indexing is required, along with a strong analytical mindset to translate data into actionable insights. Leadership skills to guide internal teams or external partners are essential. Experience in B2B SaaS, automation tools like Python scripts, Zapier, Make, APIs, basic understanding of HTML/CSS, and a background in e-commerce, SaaS, or content-heavy platforms for various regions (US, Europe, Middle East, etc.) are considered advantageous for this role.,

We are looking for a highly skilled and experienced Snowflake Database Administrator (DBA) to join our team. As a Snowflake DBA, you will be responsible for the administration, management, and optimization of our Snowflake data platform. Your expertise in database design, performance tuning, security, and data governance within the Snowflake environment will be crucial for this role. Your key responsibilities will include administering and managing Snowflake cloud data warehouse environments, implementing security policies and access controls, managing Snowflake accounts and databases in a multi-tenant environment, monitoring systems for high availability and reliability, managing Snowflake costs, collaborating with various teams for efficient data integration, automating database management tasks for operational efficiency, staying updated with the latest Snowflake features and best practices, developing and maintaining documentation, and supporting disaster recovery and business continuity planning. To be successful in this role, you should have a Bachelor's degree in computer science, Information Technology, or a related field, along with at least 5 years of experience in Snowflake operations and administration. Proficiency in SQL, query optimization, and performance tuning techniques is required, as well as experience in managing security, access controls, and data governance in Snowflake. Familiarity with AWS, proficiency in Python or Bash, experience in automating database tasks using tools like Terraform or CloudFormation, and an understanding of data modeling concepts are also essential. Strong analytical, problem-solving, and troubleshooting skills, excellent communication, and collaboration abilities are key attributes we are looking for. Preferred qualifications include Snowflake certification, experience with CI/CD pipelines and DevOps practices for database management, knowledge of machine learning and analytics workflows within Snowflake, and hands-on experience with data streaming technologies like Kafka or AWS Kinesis. If you are ready to take on this challenging and rewarding role, we look forward to receiving your application.,

Design, develop, and maintain robust and scalable data pipelines to support data integration, transformation, and analytics Build and maintain data architecture for both structured and unstructured data Develop and optimize ETL processes using tools such as Apache Spark, Kafka, or Airflow Work with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions Ensure high data quality and integrity across the pipeline Implement data security and governance standards Monitor and troubleshoot performance issues in data pipelines Proficiency in SQL and experience with relational and NoSQL databases Hands-on experience with data pipeline tools Good understanding of data warehousing concepts and tools Strong communication and collaboration skills Analytical mindset and attention to detail Familiarity with SSRS (SQL Server Reporting Services) for creating reports Expertise in SQL query optimization, stored procedures, and database tuning Hands-on experience with data migration and replication techniques, including Change Data Capture (CDC) and SQL Server Integration Services (SSIS) Strong understanding of dimensional modelling and data warehousing concepts, including star and snowflake schemas. Familiarity with Agile methodologies and DevOps practices for continuous integration and deployment (CI/CD) pipelines. Familiarity with Data Cubes Soft Skills would include : Good problem solving and decision making skills Dynamic self-starter, independent (but confident to ask questions to clarify), adaptable and able to handle pressure. Good communication skills and team player Attention to detail Curious and Continuous learning mindset Time management skills Accountability and ownership

A career within Actuarial Services will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third-party administrators. You will provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modeling, underwriting, new legislation, and the efficiency of claims or reporting processes. Simply put, you might help analyze the impact that new regulation will have on an insurance company's balance sheet or you could be revising business projections and making sure they have adequate reserves. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this, we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies, and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: - Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. - Delegate to others to provide stretch opportunities, coaching them to deliver results. - Demonstrate critical thinking and the ability to bring order to unstructured problems. - Use a broad range of tools and techniques to extract insights from current industry or sector trends. - Review your work and that of others for quality, accuracy, and relevance. - Know how and when to use tools available for a given situation and can explain the reasons for this choice. - Seek and embrace opportunities that give exposure to different situations, environments, and perspectives. - Use straightforward communication, in a structured way, when influencing and connecting with others. - Able to read situations and modify behavior to build quality relationships. - Uphold the firm's code of ethics and business conduct. - Help contribute to the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS). - Apply econometric modeling techniques such as generalized linear models (GLMs), time series analysis, and semi-parametric models (e.g., fractional response models). - Utilize machine learning models including XGBoost, random forests, and support vector machines. - During the development, validation, and monitoring of models, ensure compliance with model-related regulatory requirements and standards such as SR 11-7, Colorado SB21-169, NIST, ISO 42001, and the NAIC Model Bulletin. - Experience with programming languages and environments such as Python, R, Databricks, and React. - Enforce DevOps best practices, including version control (Git), CI/CD, test automation, infrastructure as code, system monitoring, and cross-functional collaboration. - Design, develop, and deploy AI models in real-world client and business environments. - Monitor and research emerging AI trends, fostering an agile, forward-looking development environment. - Support project delivery and work with clients to process structured and unstructured data to improve business processes, workflows, and decision-making. - Support the documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders. - Work with cross-functional teamsdata engineers, architects, and data scientiststo deliver efficient, high-quality solutions aligned with client needs. - Support business development efforts, including the technical sales cycles and the client proposal process. - Support the development of internal GenAI assets and foundational capabilities to grow the firm's practice. Qualifications Minimum Educational Qualifications: A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field. Credentials - Good To Have A master's degree or PhD in a related field from a premium institute is preferred but is not required. Min years of Experience Requirement (Credential) - 3-4 years,

We are seeking a highly energetic individual to join us as an SEO Consultant at Eucloid. As the SEO Consultant, you will play a crucial role in coordinating and executing search engine marketing programs for our clients. The ideal candidate will be goal-oriented, have exceptional attention to detail, and possess outstanding interpersonal skills. This position involves engaging with clients and collaborating closely with our team to ensure the client's objectives are met. Your responsibilities will include developing and implementing tailored SEO strategies to enhance organic search rankings, boost website traffic, and drive business growth. You will conduct comprehensive keyword research and competitive analysis to identify SEO opportunities and trends. Providing insights on SEO opportunities across various digital channels, including on-page, off-page, and technical SEO, will be part of your role. You will optimize website content, meta tags, headings, and URLs to align with SEO best practices and enhance user experience and conversion rates through effective SEO techniques. Collaboration with content teams to create SEO-friendly content and ensure proper keyword integration will be essential. Regular audits will be conducted to identify and resolve technical issues impacting SEO performance, such as page load speed, mobile responsiveness, and crawl errors. Working closely with developers to implement schema markup, structured data, and optimize site architecture for search engines will also be part of your duties. Monitoring and analyzing website performance using tools like Google Analytics, Google Search Console, Ahrefs, SEMrush, etc., and preparing regular SEO performance reports with actionable insights and recommendations to enhance SEO efforts will be crucial. Tracking key SEO metrics such as keyword rankings, organic traffic, and conversions, and adjusting strategies as needed to achieve business goals will be part of your routine tasks. To qualify for this role, you should have a proven track record (3-5 years) in SEO consulting/management, demonstrating success in improving search rankings and website traffic. Deep understanding of SEO tools like Google Analytics, Google Search Console, Ahrefs, SEMrush, Moz, Screaming Frog, etc., is necessary. Strong analytical skills with the ability to interpret data and make data-driven decisions are essential. Experience with A/B testing, user behavior analysis, and web analytics tools is preferred. A Bachelor's degree in Marketing, Business, Communications, Computer Science, or a related field is required. If you are passionate about SEO and have the expertise to drive impactful results, we encourage you to apply for this exciting opportunity with Eucloid Data Solutions.,

As an SEO Expert at Sir Marketer Digital Marketing Agency in Jaipur, you will play a crucial role in managing WordPress websites and enhancing our clients" organic performance. Sir Marketer is a U.S.-registered digital marketing agency specializing in SEO, e-commerce growth, content marketing, and digital performance strategies for global clients. You will have the opportunity to work on global digital marketing projects and take ownership of your SEO strategies in a growth-focused work environment with a supportive and professional team culture. Your responsibilities will include executing On-page, Off-page, and Technical SEO strategies, optimizing WordPress websites, conducting keyword research, writing SEO-friendly content, and implementing Answer Engine Optimization (AEO) techniques for voice search and featured snippets. You will also be responsible for managing technical audits, monitoring website traffic and keyword rankings, and collaborating with content writers and developers to ensure best SEO practices. Additionally, you will be expected to assist with Social Media Optimization (SMO) if needed and continuously strive to improve organic traffic and search visibility. To excel in this role, you should have a strong command of WordPress plugin management, SEO setup, and content updates, along with a deep knowledge of On-page, Off-page, and Technical SEO. Experience with SEO tools like Google Search Console, Ahrefs, SEMrush, and Moz is essential, as well as proficiency in content writing and SEO copy optimization. Familiarity with AEO, schema markup, and structured data will be beneficial, and the ability to work independently, take accountability for results, and possess strong analytical and communication skills are key requirements. The ideal candidate will have at least 3 years of hands-on SEO experience, prior experience working in an agency or with international clients, basic HTML/CSS knowledge, and experience with social media strategy. If you are looking to further develop your SEO expertise, work on diverse projects, and be part of a supportive team environment that encourages growth and creativity, Sir Marketer is the place for you.,

As an Associate Data Architect at Quantiphi, you will be part of a dynamic team that thrives on innovation and growth. Your role will involve designing and delivering big data pipelines for structured and unstructured data across diverse geographies, particularly focusing on assisting healthcare organizations in achieving their business objectives through the utilization of data ingestion technologies, cloud services, and DevOps practices. Your responsibilities will include collaborating with cloud engineers and clients to address large-scale data challenges by creating tools for migration, storage, and processing on Google Cloud. You will be instrumental in crafting cloud migration strategies for both cloud-based and on-premise applications, as well as diagnosing and resolving complex issues within distributed systems to enhance efficiency at scale. In this role, you will have the opportunity to design and implement cutting-edge solutions for data storage and computation for various clients. You will work closely with experts from different domains such as Cloud engineering, Software engineering, and ML engineering to develop platforms and applications that align with the evolving trends in the healthcare sector, including digital diagnosis, AI marketplace, and software as a medical product. Effective communication with cross-functional teams, including Infrastructure, Network, Engineering, DevOps, SiteOps, and cloud customers, will be essential to drive successful project outcomes. Additionally, you will play a key role in building advanced automation tools, monitoring solutions, and data operations frameworks across multiple cloud environments to streamline processes and enhance operational efficiency. A strong understanding of data modeling and governance principles will be crucial for this role, enabling you to contribute meaningfully to the development of scalable and sustainable data architectures. If you thrive in a fast-paced environment that values innovation, collaboration, and continuous learning, then a career as an Associate Data Architect at Quantiphi is the perfect fit for you. Join us and be part of a team of dedicated professionals who are passionate about driving positive change through technology and teamwork.,

Join us as a Decision Analyst at Barclays, where you will spearhead the evolution of the digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. The BUK Decision and Analytics team exist to leverage the power of data, using advanced analytics and data science to deliver assets that drive the performance of the bank. This enables smarter, faster, and more proactive decision-making, transforming the lives of customers, colleagues, and communities while protecting the sustainable advantage our data creates. This team offers an opportunity to work directly with business heads and influence decision-making through the use of advanced analytics and data science to solve complex business problems. To be a successful Decision Analyst, you should have experience in data mining and building predictive & machine learning models using both structured and unstructured data. You should have an understanding of machine learning algorithms and their applications, as well as experience in the data science project lifecycle from use case framing to model building and deployment. Knowledge of Python & SQL is also required. Other highly valued skills may include strong communication skills, storytelling abilities, and problem-solving skills. The job location for this role is Noida. Purpose of the role: To extract meaningful insights from complex data sets, develop robust decision models, and present actionable recommendations to stakeholders across departments. Accountabilities: - Identification and extraction of relevant data from various internal and external sources. - Performing sensitivity analysis and scenario planning. - Monitoring and evaluating the performance of existing models. - Developing and implementing data quality control procedures. - Building and validating quantitative models to support decision-making across different business areas. Analyst Expectations: - Meet the needs of stakeholders/customers through specialist advice and support. - Perform prescribed activities in a timely manner and to a high standard. - Likely to have responsibility for specific processes within a team. - Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources. - For an individual contributor, manage own workload, take responsibility for the implementation of systems and processes within own work area, and participate in broader projects. - Execute work requirements, collaborate with closely related teams, and provide specialist advice and support pertaining to own work area. - Take ownership for managing risk and strengthening controls in relation to own work. - Continually build an understanding of how all teams contribute to broader sub-function objectives. - Develop awareness of underlying principles and concepts in the area of responsibility, building upon expertise. - Make judgements based on practice and previous experience. - Communicate sensitive or difficult information to customers. - Build relationships with stakeholders/customers to identify and address their needs. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

As a Senior SEO Specialist at Interactive Bees located in Delhi NCR, you will be responsible for developing and implementing advanced SEO strategies that encompass on-page, off-page, and technical aspects. With over 5 years of experience in core SEO, you will lead keyword research, competitive analysis, and content audits to ensure optimal performance in an ever-evolving digital landscape. Your role will involve working closely with Large Language Models (LLMs) and Generative AI tools to optimize content workflows with tools like ChatGPT, Claude, Jasper, etc. You will integrate Generative AI into SEO content pipelines while upholding quality, originality, and E-A-T standards. Collaborating with developers and content teams, you will implement SEO best practices on websites and landing pages. Monitoring and reporting on SEO performance using tools such as GA4, GSC, SEMrush/Ahrefs, and LLM-driven dashboards will be a crucial part of your responsibilities. Staying abreast of AI advancements in search, such as SGE, AI snippets, and multimodal SEO, will ensure that you remain ahead of the curve in SEO strategies. Preferred skills for this role include a deep understanding of Google algorithms, indexing, crawling, and structured data. Experience in using and optimizing prompts with LLMs for SEO content generation is highly desirable. Familiarity with AI-powered SEO tools like Surfer SEO, MarketMuse, and Frase will be advantageous. Additionally, knowledge of schema markup, page speed optimization, and technical audits is essential. If you have experience in integrating LLMs with CMS or SEO platforms, an understanding of prompt engineering, or exposure to Python and automation scripts for SEO tasks, it would be considered a bonus. Prior experience in optimizing content for AI search experiences, such as SGE and Bing Chat, will also be beneficial. Joining Interactive Bees offers you the opportunity to work on cutting-edge SEO and AI projects for leading brands. You will be part of a collaborative and growth-focused team culture with opportunities to experiment with new tools and AI models. Competitive salary along with performance incentives make this role even more rewarding.,

As a Data Collection Agent at Instaworks, your primary responsibility will be to collect, organize, and validate data through the use of various robotics platforms, sensors, and automated tools. By leveraging these technologies, you will play a crucial role in fueling AI models and supporting product development efforts. Your key duties will include operating and managing robotic systems, sensors, and data-gathering devices such as drones, mobile robots, and LiDAR. You will utilize automated data collection platforms to gather structured and unstructured data, including video, audio, and telemetry. Additionally, maintaining detailed logs of collected data, flagging anomalies, ensuring data accuracy and integrity, and following standard operating procedures for data collection in different environments are essential aspects of your role. Furthermore, you will be expected to run diagnostics, perform basic troubleshooting on hardware and software used in data collection, and collaborate closely with engineers and product teams to refine data-gathering strategies. Staying abreast of emerging tools and techniques in robotics-based data acquisition will also be crucial to your success in this position. To excel in this role, you should be comfortable working with automated data logging systems and remote device control interfaces. Strong attention to detail, adherence to structured data collection protocols, a reliable internet connection, and a conducive workspace for remote work are essential requirements. Additionally, your ability to work independently with minimal supervision and troubleshoot issues in real-time will be key to your effectiveness in this role. Joining the Instawork team will provide you with the opportunity to work on high-impact projects involving robotics, automation, and AI. You will have access to the latest tools and technologies in robotics and data collection, within a collaborative and fast-paced environment that offers ample growth opportunities. Instawork, founded in 2015, is the leading online labor marketplace in the nation, connecting over 7 million skilled workers with various industries such as food services, hospitality, light industry, and logistics. Our AI-powered platform supports businesses across more than 50 major markets in the United States and Canada, contributing to local economies and driving growth. If you are a detail-oriented individual with a passion for data collection and a desire to work on groundbreaking projects, consider joining Instawork to be a part of our innovative team shaping the future of work. Visit www.instawork.com/about to learn more and explore how you can make a meaningful impact with us.,

Key Responsibilities: Responsibilities Anchor ML development track in a client project Data collection profiling EDA data preparation AI Model development experimentation tuning validation Present findings to business users project management teams Propose ML based solution approaches estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring Guide junior team members evangelize AI in organization Technical skills Programming Python R SQL ML algorithms o Statistical ML algorithms o Deep Neural Network architectures o Model ensembling o Generative AI models o ML for Responsible AI AI domains NLP speech computer vision structured data Learning patterns supervised unsupervised reinforcement learning Tools for data analysis auto ML model deployment scaling model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets pre built models available in open community and 3rd party providers Knowledge of software development architectures Knowledge of hyperscalers their AI capabilities Azure AWS GCP Knowledge of Model Quantization and Pruning Preferred Skills: Technology->Machine learning->data science,Technology->Data Science->Machine Learning,Technology->Machine Learning->Accord,Technology->Machine Learning->Generative AI

You will be part of our team as a detail-oriented and analytical Data Analyst. Your main responsibilities will include interpreting data, analyzing results using statistical techniques, and providing ongoing reports to support business decisions. To excel in this role, you should have a solid foundation in data analysis, statistical modeling, and visualization, combined with a genuine passion for converting data into actionable insights. Your key responsibilities will involve collecting, processing, and cleaning data from various sources to ensure data quality and integrity. You will conduct data analysis and statistical evaluations to identify trends, patterns, and insights. Additionally, you will create data visualizations and dashboards using tools like Power BI, Tableau, or similar software. Writing clean and efficient code to handle large datasets using Python, R, SQL, etc., will also be a crucial part of your role. Collaborating with cross-functional teams to define and monitor key performance indicators (KPIs) and documenting data analysis processes to communicate findings with stakeholders will also be part of your routine tasks. Furthermore, you will work closely with Data Engineering teams to support data pipeline development and optimization. Your must-have skills for this position include a strong proficiency in data analysis and statistical methods, hands-on experience with data visualization tools like Power BI, Tableau, Matplotlib, Seaborn, proficiency in programming languages such as Python, R, or SQL, understanding of data engineering basics, and the ability to work with structured/unstructured data. You should also possess the ability to interpret data and present it clearly to both technical and non-technical audiences. Good-to-have skills for this role include experience with advanced programming concepts and scripting, familiarity with ETL processes and tools like Apache NiFi, Talend, or Informatica, knowledge of machine learning fundamentals and predictive analytics, exposure to advanced statistical modeling techniques, and experience with cloud platforms (AWS, GCP, Azure) for data handling. To qualify for this position, you should hold a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. This is a full-time job opportunity with health insurance benefits. The work schedule is during the day shift, and the work location is in person. Kindly respond to the following application questions: - How many years of experience do you have as a Data Analyst - How many years of experience do you have with Power BI - What is your current salary ,

Shopify Front-End Developer Performance & SEO Optimization Location: Bangalore, Bannerghatta Road Work Mode: 5 Days Work From Office (WFO) No remote or hybrid options Joining Preference: Looking for early joiners About the Role We are looking for a mid to senior level Shopify Front End Developer to join our fast-paced ecommerce team. This role is 50% development and 50% performance/SEO optimization. It is ideal for someone who thrives in a dynamic environment and understands Shopifys frontend architecture, Liquid templating, and site speed best practices. Responsibilities Front-end Development (50%) Customize and maintain Shopify themes using Liquid, HTML, CSS, and JavaScript Work closely with design and content teams to create high converting user experiences Develop custom sections, features, and micro-interactions to enhance engagement Implement A/B testing and data-driven updates to improve UX and conversion Performance & SEO Optimization (50%) Optimize site speed, core web vitals, and responsive performance across mobile and desktop Audit and implement onsite SEO best practices, including schema markup, image optimization, meta structures, and link architecture Evaluate third party apps for performance impact and recommend code-based solutions Use tools like Lighthouse, GTmetrix, Google Search Console, and Semrush to measure and enhance site health Collaborate with marketing and content teams to ensure technical SEO aligns with overall strategy Qualifications 3-5+ years of frontend development experience, ideally in ecommerce 3+ years of hands-on work in the Shopify ecosystem (theme development & customizations) Strong knowledge of Liquid, HTML5, CSS3, JavaScript (Vanilla, Alpine.js, React) Deep expertise in performance optimization & technical SEO within a Shopify environment Experience with Git, browser dev tools, and page speed tools (Lighthouse, Semrush) Excellent communication and collaboration skills across teams Bonus: Familiarity with headless commerce or Shopify Hydrogen

At 360Watts, we are rethinking the concept of owning and managing solar energy for residential use. Our focus is on developing an intelligent rooftop solar system that goes beyond just being a passive installation on your roof. We are striving to create a system that is dynamic, automated, and adaptable, empowering users with complete visibility and control over their energy consumption. If you are a systems thinker with the ability to seamlessly integrate the physical and digital realms, we have an exciting opportunity for you. We are looking for someone who can envision a solar system with an IoT layer for automation, designed to be modular and enhanced with AI/ML capabilities. The system should be easily upgradable to cater to users" evolving needs, ranging from basic to advanced automation levels. Users should have the convenience of remote control through a smart-home energy management app (EMS). Responsibilities: - Lead the design, testing, and refinement of the end-to-end IoT system architecture layer, utilizing edge-MCUs and hybrid data flows to connect with the cloud and smart-home control hub - Develop real-time firmware to collect data from sensors, operate relays, and implement secure, over-the-air (OTA) updatable logic - Incorporate MCUs with varying levels of inference capabilities (e.g., ESP32-S3, Raspberry Pi CM4, Jetson Nano/Xavier NX) and maintain firmware modularity for future upgrades - Define IoT use-cases, data workflow, and communication protocol stacks (MODBUS RTU/TCP, MQTT) for seamless integration with inverters, battery systems, and cloud EMS - Provide guidance to hardware interns on embedded prototyping, transitioning from breadboard setups to PCBs, including wiring, testing, and debugging processes - Collaborate with solar engineers and EMS software leads to facilitate rapid prototyping, field testing, and the development of user-centric automation strategies - Ensure readiness for field deployment, including configuring pilot systems, ensuring relay switching stability, integrating with inverters, and implementing offline fallback mechanisms Required Skills: - Proficiency in systems-oriented Embedded C/C++ - Experience in designing Edge (AI/ML) architecture and modular firmware - Hands-on experience in developing real-world firmware encompassing control logic, sensor integration, and relay operations - Knowledge of implementing protocol stacks such as MODBUS RTU/TCP and MQTT - Familiarity with OTA updates, structured data handling, and embedded fault management - Ability to debug system issues and ensure field readiness Background: - Bachelor's or Master's degree in Electrical Engineering, Electronics & Communication, Embedded Systems, or related fields - 1-3 years of work experience in a relevant role - Proficient in professional English language Job Details: - Salary range: Rs. 30k-50k per month, based on skills and experience - Opportunity for equity (ESOP) after 9-12 months - Start date: 15.08.2025 or 01.09.2025 - Probation period: 3 months - Job Type: Full-time Benefits: - Flexible schedule - Paid time off - Performance bonus Schedule: - Monday to Friday, with weekend availability Ability to commute/relocate: - Candidates should be able to reliably commute to Coimbatore, Tamil Nadu or be willing to relocate before the start date (Preferred) Education: - Bachelor's degree preferred Experience: - Minimum 1 year of experience in embedded software required Language: - Proficiency in English preferred Work Location: In person For further inquiries, please contact the employer at +91 9087610051 Application Deadline: 27/07/2025 Expected Start Date: 01/09/2025 If you are enthusiastic about this opportunity, we encourage you to apply promptly.,

The Staff ML Scientist position at Visa offers a unique opportunity to engage in cutting-edge Applied AI research within the realm of data analytics. As a key member of the team, you will play a pivotal role in driving Visa's strategic vision as a leading data-driven company. Your responsibilities will involve formulating complex business problems into technical data challenges, collaborating closely with product stakeholders to ensure the practicality of solutions, and delivering impactful prototypes and production code. You will have the chance to experiment with various datasets, both in-house and third-party, to evaluate their relevance to business objectives. Moreover, your role will encompass building data transformations for structured and unstructured data, exploring and refining modeling and scoring algorithms, and implementing methods for adaptive learning and model validation. Your expertise in automation and predictive analytics will be instrumental in enhancing operational efficiency and performance monitoring. In addition to your technical skills, you will be expected to possess a strong academic background and exceptional software engineering capabilities. A proactive and detail-oriented approach, coupled with excellent collaboration skills, will be essential for success in this role. This is a hybrid position, allowing for a flexible work arrangement that combines remote work and office presence. The expectation is to work from the office 2-3 set days per week, with a general guideline of being in the office at least 50% of the time based on business requirements. Qualifications: - 8 or more years of work experience with a Bachelors Degree or an Advanced Degree - Proficiency in modeling techniques such as logistic regression, Nave Bayes, SVM, decision trees, or neural networks - Ability to program in scripting languages like Perl or Python, and programming languages such as Java, C++, or C# - Familiarity with statistical tools like SAS, R, KNIME, and experience with deep learning frameworks like TensorFlow - Knowledge of Natural Language Processing and working with large datasets using tools such as Hadoop, MapReduce, Pig, or Hive - Publications or presentations in recognized Machine Learning and Data Mining journals/conferences would be advantageous Join Visa as a Staff ML Scientist and contribute to pioneering advancements in Applied AI research that drive innovation and shape the future of data analytics.,

At Moody's, we aim to unite the brightest minds to transform today's risks into tomorrow's opportunities. We strive to cultivate an inclusive environment where everyone is encouraged to express their true selves, exchange ideas freely, think innovatively, and engage with each other and customers in meaningful ways. If you are enthusiastic about this opportunity, even if you do not meet every requirement listed, we encourage you to apply. You may still be a great fit for this role or other available positions. We are looking for candidates who embody our values: investing in every relationship, leading with curiosity, championing diverse perspectives, turning ideas into actions, and upholding trust through integrity. Skills and Competencies - Experience in utilizing industry-standard data transformation, low-code automation, business intelligence solutions, and operational responsibilities with tools like Power BI, Alteryx, and Automation Anywhere. - Familiarity with Python, Data Fabric, and a working understanding of Hyperion/OneStream (EPM) would be advantageous. - Proficiency in SQL for working with both structured and unstructured data. - Strong knowledge of data structures, algorithms, and software development best practices. - Understanding of version control systems such as Git and agile methodologies. - Knowledge of cloud platforms like AWS, Azure, or Google Cloud is a plus. - Effective communication skills to articulate technical concepts to non-technical stakeholders. - Strong problem-solving abilities and the capability to work independently or collaboratively within a team. Education - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Responsibilities - Support operational processes within the Data and Analytics team. - Contribute to the creation of process documentation (SOPs) and aid in establishing guidelines to standardize and enhance operations. - Provide assistance for Automation/Data/BI servers to ensure system performance and reliability. - Monitor and support automation, BI, and data processes to maintain seamless operations and address issues promptly. - Aid in managing security and access controls to safeguard data and uphold data integrity. - Track automation, Gen AI, data, and BI use cases across the team. - Support Gen AI application environments, security, and post-production operations. - Assist in BI incident management and efficiently route issues to the appropriate area. - Monitor and report on metrics to evaluate performance and identify areas for enhancement. - Maintain comprehensive documentation and communication to ensure transparency. - Monitor and report on metrics to ensure operational efficiency. About The Team The Automation Operations & Innovation Team is a dynamic group within the Data and Analytics department focused on enhancing operational efficiency and driving digital transformation through automation, GenAI, business intelligence, and data management. The team collaborates with developers, analysts, and process managers to design and implement scalable solutions using tools like Alteryx, Power BI, Automation Anywhere, and Python. Through collaboration, innovation, and continuous improvement, the team supports strategic initiatives by streamlining workflows, enhancing data quality, and integrating emerging technologies. Candidates applying to Moody's Corporation may be required to disclose securities holdings in accordance with Moodys Policy for Securities Trading and the position's requirements. Employment is subject to adherence to the Policy, including addressing any necessary remediation of positions in those holdings.,

As a Senior Applied Scientist at our organization, you will play a crucial role in the development of cutting-edge generative AI solutions for Oracle Analytics. Your primary responsibilities will include innovating new methods for natural language interaction with structured data, building intelligent systems for comprehensive data analysis, creating advanced personalization techniques, and seamlessly integrating your solutions into industry-specific intelligent applications. Your expertise in machine learning, data science, and generative AI will be essential for this role, particularly in areas such as LLMs (fine-tuning, adaptation, personalization), agent frameworks, and tool orchestration. It is preferred that you have practical experience in machine learning techniques for structured data, tabular representation learning, graph neural networks, time series modeling, and operations research/mathematical optimization. Successful candidates will have a proven track record of designing innovative solutions that push the boundaries of technology in alignment with business needs. This can be demonstrated through publications in prestigious conferences or journals and a history of impactful contributions to software products that operate at scale. If you are passionate about leveraging your expertise in machine learning and generative AI to drive advancements in intelligent applications, collaborate with a diverse team, and make a significant impact in the field, we encourage you to apply for this exciting opportunity.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are invited to join our team as we embark on a journey to drive innovation and change through data-driven solutions. Responsibilities: - Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. - Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. - Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. - Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. - Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. - Champion the use of Python as the primary programming language, setting high standards for software development within the team. - Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. - Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. - Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. - Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. - Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are preferred for this role. Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. Champion the use of Python as the primary programming language, setting high standards for software development within the team. Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

As a Data Scientist, you will be responsible for undertaking data collection, preprocessing, and analysis to address various business problems. You will build models and utilize data visualization techniques to present information effectively. It will be your duty to identify valuable data sources and automate the collection processes. Additionally, you will be required to preprocess both structured and unstructured data, analyze large amounts of information to discover trends and patterns, and build predictive models and machine-learning algorithms. This is a full-time, permanent position with a fixed shift schedule. The work location for this role is in person.,