26176 Algorithms Jobs - Page 50

About the Role: We are seeking a highly skilled and innovative AI Engineer to join our team. The ideal candidate will design, develop, and deploy AI and machine learning solutions to solve complex business problems. You will work closely with cross-functional teams to integrate AI models into products and services, ensuring scalability, performance, and accuracy. Key Responsibilities: Design, build, and deploy AI/ML models for real-world applications. Preprocess and analyze large datasets to derive meaningful insights. Collaborate with software engineers, data scientists, and product teams to integrate AI capabilities. Optimize model performance, scalability, and maintainability. Research and implement cutting-edge AI algorithms and frameworks. Maintain clear documentation for AI workflows, model training, and deployment processes. Monitor and fine-tune deployed models to ensure accuracy and relevance. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. Strong proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with NLP, computer vision, or predictive analytics projects. Knowledge of cloud platforms like AWS, Azure, or GCP for AI/ML deployment. Solid understanding of data structures, algorithms, and software engineering principles. Hands-on experience with data preprocessing, feature engineering, and model evaluation. Strong problem-solving skills and ability to work independently. Preferred Qualifications: Experience in large language models (LLMs) or generative AI. Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes). Exposure to big data tools like Spark, Hadoop, or Databricks.

Job Description Job Title: SOC SR Software Engineer Location: Hyderabad, India Department: Perimeter Security Operations Center (PSOC) About the Role: We are seeking a SOC SR Software Engineer who will design, build, and implement security solutions for our newly established Security Operations Center. As an integral member of our engineering team, you’ll work on developing tools, automation, and infrastructure to support SOC analysts in detecting, analyzing, and mitigating perimeter security threats. You’ll focus on building solutions that enhance incident response capabilities, streamline operations, and provide insights into threats through data visualization and reporting. Key Responsibilities Tool Development and Automation: Design and develop automation solutions to improve SOC efficiency, with a focus on Content Delivery Networks (CDNs), Web Application Firewalls (WAFs), and Splunk integrations. Build tools that enable analysts to detect, investigate, and respond to incidents faster and with greater accuracy. Threat Detection and Mitigation Solutions: Create detection algorithms and response playbooks for incidents stemming from bot traffic, scanners, malicious actors, and anomalies in customer traffic. Implement solutions that prioritize incidents and reduce alert noise while maintaining high accuracy. Access Control and IP Reputation Monitoring: Engineer and maintain systems that manage whitelisting, network access allowances, and client IP reputation monitoring. Ensure access control solutions align with enterprise security standards and respond dynamically to emerging threats. Data Pipeline and Logging Infrastructure: Develop scalable data pipelines and logging systems to centralize threat intelligence, log traffic patterns, and enhance visibility into perimeter security metrics. Enable SOC analysts to draw insights from high-quality data sources. Threat Pattern Identification and Visualization: Build tools for anomaly detection, pattern recognition, and data visualization, enabling SOC teams to understand and report on threat patterns, including insights into scanner dynamics and attacker capabilities. Security Controls Monitoring: Engineer solutions that continuously monitor the efficacy of security controls, identify coverage gaps in API endpoints, and adapt to the evolving application landscape. Documentation and Knowledge Sharing: Create comprehensive documentation and playbooks that outline tool functionality, automation workflows, and standard operating procedures for SOC use. Ensure documentation is accessible and maintainable. Executive Reporting Solutions: Build systems that generate executive reports on key metrics, such as mitigation impact, financial savings, session counts affected by mitigation technologies, and availability impact due to traffic anomalies. Collaborative Threat Response: Participate in threat detection exercises, incident analysis, and instrumenting mitigation solutions alongside the operations team. Work hands-on with analysts to refine tools and responses based on live incident insights and threat exercises. Required Skills And Qualifications Automation Expertise: Strong proficiency in automating tasks within CDNs, WAFs, and Splunk. Experience with scripting and programming languages like Python, Bash, or other relevant languages for automation. Experience in Security Engineering: Background in developing security solutions for incident response, perimeter defense, or SOC environments. Familiarity with threat detection and anomaly analysis. Data Pipeline Management: Experience in building and managing data pipelines, logging frameworks, and data visualization for security analysis. Proficiency with data engineering tools and frameworks is a plus. Strong Analytical Skills: Ability to identify and mitigate security threats with minimal false positives, understanding of bot traffic, scanners, and other traffic-based threats. Cross-Functional Collaboration: Effective communication skills, with experience working closely with SOC analysts, incident responders, and engineering teams. Documentation Skills: Proven ability to create clear, accessible, and detailed documentation to support SOC workflows and tooling. This is an opportunity to lead the technical foundation of our Perimeter SOC and develop solutions that directly impact security operations. If you have a passion for engineering solutions that enable effective threat detection and response, we encourage you to apply.

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data. How You Will Contribute You will: Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements Identify patterns and help the business react to changing business conditions Perform root-cause analysis and interpret data Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards Understand and be involved with aspects of the data science process As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualizations and reporting dashboards What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAS software, Google Analytics, Google Tag Manager, Tableau, Google AdWords, statistical software Moderate knowledge in math and statistical skills, strong business acumen, moderate computer science/coding skills Develop key performance indicators and create visualizations of the data Utilize business intelligence and analytics tool More About This Role You will be part of Mondelēz biggest Analytics Team, delivering world class analytical solutions showcasing global level business impact using sophisticated tools and technologies. You will be driving Visualization and Data Processing capabilities to next level by delivering business solutions impacting business on day-to-day productivity. Build trust and credibility with different stakeholders to achieve common organizational goals and targets Develop & scale up global solutions under the advanced analytics and reporting Domain for Mondelez Supply Chain. Drive automation by performing best-in-class technology integration in Mondelez (SAP, SQL, GCP) Build best-in-class interactive analytics tools with a superior user experience by leveraging PowerBI /Dash, Python/JS (React) Develop business solutions that are scalable, automated, self-sustainable and interactive with end users Collaborate with external partners to deliver strategic projects on time and right the first time. Develop & execute a strategy to automate KPI for all existing dashboards and dataflows. Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics can deliver Sustain existing reports and dashboard ensuring timely update and no downtime. What you need to know about this position: What extra ingredients you will bring: Education / Certifications: Bachelor’s or master’s degree, in a quantitative field such as Statistics, Applied Mathematics, Engineering, Data Science Job specific requirements: Excellent stakeholder management, strong business acumen good communication skills and demonstrated experience in applying analytical techniques to solve business problems with cross-functional and Global stakeholders Understand business challenges, collect, clean and analyze the data to identify trends and insights for the business to provide actionable insights that drives differential actions and decision making. Experience in Visualization Tools (Tableau/Power BI) Experience in Data Management and Processing Tools (Talend/Alteryx/R/Prep/SQL) Experience in NCLC Platforms (Power Apps) Experience in web app development tools and projects may be advantageous (Power BI / Dash / React / JS) Exposure to ML fundamentals and relevant projects may be advantageous Experience in using SAP may be advantageous Extensive experience in bringing data together from multiple sources, bringing out insights & showcase in an easy-to-understand visualization Travel requirements: Work schedule: Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Data Science Analytics & Data Science

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data. How You Will Contribute You will: Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements Identify patterns and help the business react to changing business conditions Perform root-cause analysis and interpret data Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards Understand and be involved with aspects of the data science process As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualizations and reporting dashboards What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAS software, Google Analytics, Google Tag Manager, Tableau, Google AdWords, statistical software Moderate knowledge in math and statistical skills, strong business acumen, moderate computer science/coding skills Develop key performance indicators and create visualizations of the data Utilize business intelligence and analytics tool More About This Role You will be part of Mondelēz biggest Analytics Team, delivering world class analytical solutions showcasing global level business impact using sophisticated tools and technologies. You will be driving Visualization and Data Processing capabilities to next level by delivering business solutions impacting business on day-to-day productivity. Build trust and credibility with different stakeholders to achieve common organizational goals and targets Develop & scale up global solutions under the advanced analytics and reporting Domain for Mondelez Supply Chain. Drive automation by performing best-in-class technology integration in Mondelez (SAP, SQL, GCP) Build best-in-class interactive analytics tools with a superior user experience by leveraging PowerBI /Dash, Python/JS (React) Develop business solutions that are scalable, automated, self-sustainable and interactive with end users Collaborate with external partners to deliver strategic projects on time and right the first time. Develop & execute a strategy to automate KPI for all existing dashboards and dataflows. Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics can deliver Sustain existing reports and dashboard ensuring timely update and no downtime. What you need to know about this position: What extra ingredients you will bring: Education / Certifications: Bachelor’s or master’s degree, in a quantitative field such as Statistics, Applied Mathematics, Engineering, Data Science Job specific requirements: Excellent stakeholder management, strong business acumen good communication skills and demonstrated experience in applying analytical techniques to solve business problems with cross-functional and Global stakeholders Understand business challenges, collect, clean and analyze the data to identify trends and insights for the business to provide actionable insights that drives differential actions and decision making. Experience in Visualization Tools (Tableau/Power BI) Experience in Data Management and Processing Tools (Talend/Alteryx/R/Prep/SQL) Experience in NCLC Platforms (Power Apps) Experience in web app development tools and projects may be advantageous (Power BI / Dash / React / JS) Exposure to ML fundamentals and relevant projects may be advantageous Experience in using SAP may be advantageous Extensive experience in bringing data together from multiple sources, bringing out insights & showcase in an easy-to-understand visualization Travel requirements: Work schedule: Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Data Science Analytics & Data Science

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services (GCP), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist. Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 6-9 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300079

Applications are invited for a Ph.D position on the project, “ Artificial Intelligence control of a minijet-manipulated square turbulent jet ” under the supervision of Prof. Shibu Clement, Prof. Aditya Challa, and Prof. Pritanshu Ranjan. This position is applicable only to PhD aspirants . The candidates check the eligibility criteria and qualification process of the PhD program of BITS Pilani ( http://www.bitsadmission.com/phmain.aspx ). Scope of work: This project aims to advance the understanding and control of square turbulent open jets manipulated by pulsed periodic radial minijets using AI. Key tasks include comparing round and square turbulent jets, optimizing minijet actuation parameters, and developing a real-time AI-controlled closed-loop system. The project will also involve formulating control laws for multiple actuators and conducting scaling analyses to relate control parameters to jet decay rates, ultimately enhancing mixing efficiency. Essential Qualification: Post Graduate degree in Mechanical/Aerospace/Chemical from a recognized University with minimum 60% marks. Desirable Qualification: · Basic knowledge of fluid mechanics and turbulence. · Experience or coursework in experimental and/or computational fluid dynamics (CFD). · Familiarity with programming languages like Python or MATLAB, or a willingness to learn them. · Basic knowledge of AI (PyTorch/TensorFlow) and control systems, or a willingness to learn them. · Interest in interdisciplinary research and a strong work ethic. Fellowship: ₹37,000 - ₹42,000 per month (based on the year of PhD and performance) Duration: As per BITS Pilani norms ( http://www.bitsadmission.com/phmain.aspx ) Place of work: BITS Pilani, K K Birla Goa Campus. Hostel accommodation may be provided, subject to availability and according to the institute's rules and regulations. Benefits: Deepening understanding of fluid dynamics and turbulence, particularly in controlling square turbulent jets with AI. Developing expertise in AI and control systems by applying advanced algorithms in real-time scenarios. Gaining practical experience through experimental setups and computational fluid dynamics simulations, enhancing interdisciplinary skills. Application process: Please apply with CV and Cover letter (showing alignment and justification with the roles/responsibilities/requirements) Via email to Prof. Shibu Clement (shibu@goa.bits- pilani.ac.in ) · LAST DATE OF APPLICATION: 18 August 2025 Preliminary shortlisting will be based on resume, and short-listed candidates will be called for an online interview in the three or fourth week of August 2025. For more details, please contact: Prof. Shibu Clement ( Email: shibu@goa.bits-pilani.ac.in ).

Job Description: JS TechAlliance Consulting Private limited is a global IT solutions company that provides full-cycle services in the areas of software development, web-based enterprise solutions, mobile application design, and portal development. We combine solid business domain experience, technical expertise, profound knowledge of industry trends, and a quality-driven delivery model to offer progressive end-to-end web solutions. Our goal is to provide specialized mobile software and web business solutions while providing business consulting to our clients. Our team of Android/iOS/J2EE/Web professionals has rich IT experience and a better capability to understand your business world. Roles and Responsibilities: Assist in the development and implementation of machine learning algorithms and models. Participate in data collection, preprocessing, and feature engineering tasks. Collaborate with team members to conduct research and experimentation to improve model performance. Support the deployment of machine learning models into production environments. Perform exploratory data analysis to gain insights and identify trends in the data. Help maintain and optimize existing machine learning pipelines and workflows. Stay up-to-date with the latest developments and trends in artificial intelligence and machine learning. Requirements: B.Tech or M.Tech (AI & Data Science only) Excellent English Communication Skills Indore Localite Candidate Internship Duration: 6 Months In-Office (Fulltime Internship) Job Location: Indore Joining: Immediate Share Resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 Whatsapp - 8224006397 Job Type: Internship Contract length: 6 months Application Question(s): Immediate Joiner Do you live in Indore? Can you attend an In-Office Interview? How much would you rate yourself in English Communication out of 10? Have you completed your B.Tech or M.tech(Data Science /AI\ML)? (Mandatory) Education: Bachelor's (Required) Language: English (Required) Location: Vijay Nagar, Indore, Madhya Pradesh (Required) Work Location: In person

We're looking for an experienced SEO Executive to join our team. The ideal candidate will have a strong background in traditional SEO and working knowledge of AI SEO. You'll be responsible for developing and implementing effective SEO strategies to improve our website's search engine rankings and drive organic traffic. Key Responsibilities: - Keyword Research: Conduct thorough keyword research to identify opportunities for ranking improvement - On-page and Off-page Optimization: Optimize website content, meta tags, and URLs for better search engine ranking - SEO Strategy Development: Develop and implement effective SEO strategies to drive traffic and enhance user engagement - Performance Analysis: Monitor and analyze website performance using tools like Google Analytics - Content Optimization: Collaborate with content teams to ensure SEO best practices are followed Requirements: - Minimum Experience: 2 years in SEO - Strong Understanding: Search engine algorithms, ranking methods, and SEO tools like Google Analytics, SEMrush, and Moz - Technical Skills: Proficiency in HTML/CSS, content management systems (CMS), and keyword research tools - Analytical Skills: Ability to interpret data and translate findings into actionable SEO strategies Salary: ₹15,000 per month Ideal Candidate: - Results-driven and detail-oriented - Excellent communication and teamwork abilities - Stay up-to-date with the latest SEO trends and best practices - Ability to work independently and as part of a team Job Type: Full-time Pay: ₹12,000.00 - ₹15,000.00 per month Application Question(s): * experience in optimizing websites for AI SEO and LLM SEO Education: Bachelor's (Preferred) Location: New Delhi, Delhi (Required) Work Location: In person

Position Summary... What you'll do... About Team: Enterprise Business Services is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, Associate Digital Experience. We are Leaders & learnings domain in Walmart EBS People tech. We work to provide world class learning experience to more than 2.1 M Walmart associates.Team is looking for a strong Staff Software Engineer who will drive building next generation Walmart suite of products and platform by designing, coding, building and deploying highly scalable and robust cloud based solutions. The role is expected to make a difference to the products in terms of the design and contribute towards identifying technical risks and find alternate solutions to various problems. In addition to that, the role also demands to lead, motivate, mentor and provide ample guidance to the other team members with respect to technical challenges. What you'll do: Drive design, development, implementation and documentation Build, test and deploy cutting edge solutions at scale, impacting associates of Walmart worldwide. Interact with Walmart engineering teams across geographies to leverage expertise and contribute to the tech community. Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome products. Drive the success of the implementation by applying technical skills, to design and build enhanced processes and technical solutions in support of strategic initiatives. Work closely with the Architects and cross functional teams and follow established practices for the delivery of solutions meeting QCD (Quality, Cost & Delivery). Within the established architectural guidelines. Work with senior leadership to chart out the future roadmap of the products Participate in hiring and build teams enabling them to be high performing agile teams. Interact closely for requirements with Business owners and technical teams both within India and across the globe. What you'll bring: Experience of minimum of 10+ years in product development with at least a min of 4+ years in product architecture role 10+ years of experience in design and development of highly-scalable applications and platform development in product-based companies or R&D divisions. Strong computer science fundamentals: data structures, algorithms, design patterns. Hands on experience in Microservices, RESTful webservices development in Java /NodeJS(Spring Boot, Dropwizard or equivalent framework). Hands on experience in Nodejs/Express/Java framework Good knowledge in messaging systems: Kafka / RabbitMQ In depth knowledge of Cloud Architecture, Microservice Architecture and related stacks (Service Registry, ELK / Splunk, Microservices, VMs, etc.) and container technologies (Docker, Kubernetes, etc.) Knowledge on Azure Cloud Platform /GCP will be an advantage Work exposure on agile methodologies and DevOps would be added advantage. CI/CD development environments/tools: Git, Maven, Jenkins. Demonstrated end-to-end ownership for development and design of least one cloud-based project. Strong hands on development skills to prototype technical solutions. Strong desire to drive change, and ability to adapt to change quickly. Proficient in new and emerging technologies. Ability to balance the long-term "big picture" and short-term implications of design decisions. Exceptional communication and interpersonal skills - including negotiation, facilitation, and consensus building skills; ability to influence and persuade, without direct control. Practitioner of Agile (Scrum) methodology About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.Option 2: 6 years’ experience in software engineering or related area. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area Primary Location... Rmz Millenia Business Park, No 143, Campus 1B (1St -6Th Floor), Dr. Mgr Road, (North Veeranam Salai) Perungudi , India R-2249743

Description Amazon’s Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. We build software to find products not already sold on Amazon and algorithmically add them to the Amazon catalog. Our work involves building state-of-the-art Information Retrieval (IR) infrastructure, extracting structured-data from unstructured-content, automatic item classification, storage systems to hold the massive catalog and distributed systems of cloud-scale. We apply the state- of- the-art parallel processing and machine learning algorithms to evaluate millions of products every day and identify and prioritize new additions to Amazon’s catalog efficiently. If you are customer obsessed, driven, tenacious and analytical, you will have fun solving our business problems of unprecedented scale. Come join us in our journey to make everything - and yes, we do mean *everything* - that anyone wants to buy, available on Amazon! As a Senior Product Manager, your leading priority will be to design and evolve a scalable product/service offering to allow Amazon to a) add important selection, b) recruit and on-board vendors and sellers, and c) enrich amazon catalog to offer high quality detail pages for our customers. You will also work with teams across countries to drive adoption of Selection Monitoring products. We are looking for candidates with a background in understanding business/customer needs, translating them into feature requirements/process changes, and to drive execution of programs working with stakeholders across multiple marketplaces including Business, Operations, and Technology teams. You will also actively engage the technical teams to define and scope the necessary tools and workflows to be developed to support use cases to add and enrich selection. In addition, you will closely work with retail teams to leverage existing best practices, and drive selection addition. Finally you will target to offer process improvements that reduces friction in product selection creation, accelerate selection addition and enrichment across marketplaces worldwide. The ideal candidate will have excellent program management, problem solving and communication skills and be comfortable interacting with technical and non-technical stakeholders at all levels. In addition, the ability to work backwards and think about the programs and products from a customer perspective is crucial. You Must Be Able To Interact with Project Sponsors, Program and Product Managers, and multiple development teams to define and deliver complex cross-functional projects. Run in front of the software development team, helping define user stories, research appropriate technical solutions, and provide guidance to the team regarding architecture, design, and priorities. Build and maintain a complete project schedule, make it constantly visible to management and key stakeholders, and drive it through to completion. Anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints. Engage with [many] other teams in the company, evangelizing the team and your project, building relationships and helping identify existing components and technologies that can be leveraged to deliver on our goals. Identify, assess, track and mitigate issues and risks at multiple levels. Create, maintain and disseminate project information to stakeholders. Basic Qualifications 5+ years of product or program management, product marketing, business development or technology experience Experience with feature delivery and tradeoffs of a product Experience owning/driving roadmap strategy and definition Experience with end to end product delivery Experience as a product manager or owner Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field Preferred Qualifications Experience in influencing senior leadership through data driven insights Experience working across functional teams and senior stakeholders Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Tamil Nadu Job ID: A2993710

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role- As a member of the Observability Platform team, you will be responsible for the development and delivery of the applications and services that power PayPal’s Enterprise Observability platform. You will work closely with product, design, and developments teams to understand what their observability needs are. We're looking for talented, motivated, and detail-oriented technologists with a passion for building robust systems at scale. We value collaboration, communication, and a passion for achieving engineering and product excellence. Meet our team The Observability Team at PayPal is responsible for providing world-class platform that can collect, ingest, store, alert and visualize data from many different sources in PayPal – like application logs, infrastructure, Virtual Machines, Containers, Network, Load Balancers etc. The platform should provide functionalities that enables different teams in PayPal to gain business insights and debugging/triaging of issues in an easy-to-use and intuitive and self-service manner. The platform should be scalable to support the data needs for PayPal (fortune 500 company); be highly available at 99.9% or higher; be reliable and fault-tolerant across the different physical data centers and thousands for micro services. You’ll work alongside the best and the brightest engineering talent in the industry. You need to be dynamic, collaborative, and curious as we build new experiences and improvise the Observability platform running at a scale few companies can match. Job Description: Your way to impact As an engineer in our development team, you will be responsible for developing the next gen PayPal's Observability platform, support the long-term reliability and scalability of the system and will be involved in implementations that avoid/minimize the day-to-day support work to keep the systems up and running. If you are passionate about application development, systems design, scaling beyond 99.999% reliability and working in a highly dynamic environment with a team of smart and talented engineers then this is the job for you.You will work closely with product and experience and/or development teams to understand the developer needs around observability and deliver the functions that meets their needs. The possibilities are unlimited for disruptive thinking, and you will have an opportunity to be a part of making history in the niche Observability area. Your day to day In your day-to-day role you will Be Involved in development & support work on the Observability team. Be required to quickly ramp-up on the many different components/services - built on different technology stacks, Operations Systems and use different build and deploy pipelines - to add new features and fix issues. Be able to work closely with the users of the system to understand their problems and exercise empathy and maturity while working with them to solve the problems. Continue to work with the Architects to guide the vision and direction for the Observability team technically. Collaborate with other engineers on code reviews, internal infrastructure improvements and process enhancements. Understand the different use cases for the Observability Domain across the different teams and help guide evaluation and adoption of a next generation Observability Platform for PayPal that is scalable, reliable and fault tolerant. Help with evaluation using Proof of Concept on the different options/solutions selected that should solve for all the use cases. Ensure minimal operational overhead by automating maintenance tasks with easily manageable configurations, solving scalability bottlenecks to improve performance and maximize system availability by ensuring functional and performance SLAs. Design, implement, and test complex, multi-tier distributed software application frameworks collaboratively with peers and technical leaders. Be able to troubleshoot and help fix performance, scalability, and other live issues in a very time critical environment. Be able to work collaboratively with team members to achieve end vision. Be part of the interview team to hire and build a world class engineering team that will make an impact on how we do engineering at PayPal. What Do You Need To Bring- Bachelor’s degree in computer science or related technical discipline (or equivalent experience) 8+ years’ experience in developing large scale applications is an ideal candidate. Very strong foundational knowledge in Object-Oriented Design Principles, Data Structures, Algorithms, SQL/NoSQL, Operating Systems, and Software Engineering. Hands-On experience in Java, Shell Scripting, Unix, jQuery, Python, and working knowledge with cloud platforms like Google BigQuery. Understanding of concurrency, parallelism, networking, with profound data structure & algorithms Knowledge of DevOps container/orchestration tools (Kubernetes, Docker, Puppet, etc.) and UI frameworks (NodeJS, React). Ability to isolate errors by trouble-shooting the application stack from application to framework to underlying infrastructure dependencies and network. Experience in Google Cloud Platform (GCP) Experience with REST API, GIT, Docker, Jenkins, and Spring boot. Strong verbal and written communication skills PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0127737

Freshworks makes it fast and easy for businesses to delight their customers and employees. We do this by taking a fresh approach to building and delivering software that is affordable, quick to implement, and designed for the end user. Headquartered in San Mateo, California, Freshworks has a global team operating from 13 global locations to serve more than 65,000 companies -- from startups to public companies–– that rely on Freshworks software-as-a-service to enable a better customer experience (CRM, CX) and employee experience (ITSM). Freshworks’ cloud-based software suite includes Freshdesk (omnichannel customer support), Freshsales (sales automation), Freshmarketer (marketing automation), Freshservice (IT service desk), Freshchat (AI-powered bots), supported by Neo, our underlying platform of shared services. Freshworks is featured in global national press, including CNBC, Forbes, Fortune, Bloomberg and has been a BuiltIn Best Place to work in San Francisco and Denver for the last 3 years. Our customer ratings have earned Freshworks products TrustRadius Top Rated Software ratings and G2 Best of Awards for Best Feature Set, Best Value for the Price and Best Relationship. Job Description About the role: As a Senior Staff Engineer Data Scientist with a focus on GenAI (Generative Artificial Intelligence), you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement and customer support. In this role, you will lead efforts to leverage GenAI techniques to address unique challenges within our company, including intelligently combing through time series data to look for anomalous behaviour through classical ML techniques. Imagine the next generation of IT services being offered not via dashboards or clicks or filters but in an interactive, conversational manner, backed by real-time analysis of the entire streaming data into an operating center. This vision is what you would make into a reality. You will build algorithms that analyze these millions of streaming data points, build a distributed, scalable, and high-performance system to serve the insights to the customer through a next-gen conversational UI/UX. Responsibilities: Strategic Collaboration: Collaborate closely with product and business teams to gain a comprehensive understanding of the challenges and opportunities within the GenAI landscape, aligning data science initiatives with the organisation’s objectives. Metric Definition: Define key performance metrics that accurately reflect the value delivered to end-users through GenAI solutions. Intelligent System Design: Apply deep expertise in machine learning, statistics, and advanced mathematics to conceptualize, experiment, and design intelligent systems powered by GenAI. Big Data Processing: Develop efficient systems capable of processing vast volumes of data, demonstrating proficiency in distributed programming frameworks like Hadoop and Spark. ML/AI Architecture: Collaborate closely with ML Engineers to design scalable systems and model architectures that enable real-time ML/AI services. End-to-End ML Pipelines: Take ownership of ML pipelines from start to finish, encompassing data pre-processing, model generation, cross-validation, and feedback sharing. Qualifications Qualifications: A Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field, with a minimum of 10 years of relevant work experience. Strong problem-solving and programming skills, coupled with a profound understanding of the mathematical foundations underpinning machine learning algorithms, including probability, statistics, linear algebra, calculus, and optimization. Proven track record of successfully deploying ML projects in production systems with substantial individual contributions. Experience with natural language processing tasks utilizing prompt engineering, LLMs, transformers, and knowledge graphs is highly advantageous. Proficiency in time series analysis, NLP, Distributed Systems, large-scale computing, and Big Data technologies such as Spark is a plus. A solid background in at least 3 of the following areas: Natural language processing, statistical ML techniques, graph algorithms, constraint optimization, signal processing (speech or vision), deep learning, and distributed systems. Proficiency with database systems and schema design, encompassing both SQL and NoSQL databases. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

Freshworks makes it fast and easy for businesses to delight their customers and employees. We do this by taking a fresh approach to building and delivering software that is affordable, quick to implement, and designed for the end user. Headquartered in San Mateo, California, Freshworks has a global team operating from 13 global locations to serve more than 65,000 companies -- from startups to public companies–– that rely on Freshworks software-as-a-service to enable a better customer experience (CRM, CX) and employee experience (ITSM). Freshworks’ cloud-based software suite includes Freshdesk (omnichannel customer support), Freshsales (sales automation), Freshmarketer (marketing automation), Freshservice (IT service desk), Freshchat (AI-powered bots), supported by Neo, our underlying platform of shared services. Freshworks is featured in global national press, including CNBC, Forbes, Fortune, Bloomberg and has been a BuiltIn Best Place to work in San Francisco and Denver for the last 3 years. Our customer ratings have earned Freshworks products TrustRadius Top Rated Software ratings and G2 Best of Awards for Best Feature Set, Best Value for the Price and Best Relationship. Job Description About the role: As a Senior Staff Engineer Data Scientist with a focus on GenAI (Generative Artificial Intelligence), you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement and customer support. In this role, you will lead efforts to leverage GenAI techniques to address unique challenges within our company, including intelligently combing through time series data to look for anomalous behaviour through classical ML techniques. Imagine the next generation of IT services being offered not via dashboards or clicks or filters but in an interactive, conversational manner, backed by real-time analysis of the entire streaming data into an operating center. This vision is what you would make into a reality. You will build algorithms that analyze these millions of streaming data points, build a distributed, scalable, and high-performance system to serve the insights to the customer through a next-gen conversational UI/UX. Responsibilities: Strategic Collaboration: Collaborate closely with product and business teams to gain a comprehensive understanding of the challenges and opportunities within the GenAI landscape, aligning data science initiatives with the organisation’s objectives. Metric Definition: Define key performance metrics that accurately reflect the value delivered to end-users through GenAI solutions. Intelligent System Design: Apply deep expertise in machine learning, statistics, and advanced mathematics to conceptualize, experiment, and design intelligent systems powered by GenAI. Big Data Processing: Develop efficient systems capable of processing vast volumes of data, demonstrating proficiency in distributed programming frameworks like Hadoop and Spark. ML/AI Architecture: Collaborate closely with ML Engineers to design scalable systems and model architectures that enable real-time ML/AI services. End-to-End ML Pipelines: Take ownership of ML pipelines from start to finish, encompassing data pre-processing, model generation, cross-validation, and feedback sharing. Qualifications Qualifications: A Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field, with a minimum of 10 years of relevant work experience. Strong problem-solving and programming skills, coupled with a profound understanding of the mathematical foundations underpinning machine learning algorithms, including probability, statistics, linear algebra, calculus, and optimization. Proven track record of successfully deploying ML projects in production systems with substantial individual contributions. Experience with natural language processing tasks utilizing prompt engineering, LLMs, transformers, and knowledge graphs is highly advantageous. Proficiency in time series analysis, NLP, Distributed Systems, large-scale computing, and Big Data technologies such as Spark is a plus. A solid background in at least 3 of the following areas: Natural language processing, statistical ML techniques, graph algorithms, constraint optimization, signal processing (speech or vision), deep learning, and distributed systems. Proficiency with database systems and schema design, encompassing both SQL and NoSQL databases. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

We are looking for a result-driven Senior SEO executive at CodeBlend Labs Pvt Ltd. to be responsible for developing optimized web content. The SEO executive's responsibilities include working closely with the marketing team to achieve SEO objectives, measuring the success of SEO and ROI, and assisting with the maintenance of the website's architecture to ensure user friendliness. Responsibilities: Working With Google SGE (Search Generative Experience) , ChatGPT Search , and Perplexity growing. Develop and implement SEO strategies for on-page, off-page, and technical SEO. Conduct keyword research and analysis to identify growth opportunities. Monitor website performance using SEO tools and analytics platforms. Collaborate with content creators to optimize content for search engines. Implement and manage link-building strategies to enhance site authority. Stay updated with the latest SEO trends, algorithm updates, and best practices. Conduct SEO audits and recommend changes to website architecture, content, linking, and other factors to improve SEO positions. Generate regular performance reports and provide actionable insights. Qualifications: Bachelor’s degree in Marketing, IT, or a related field. min 2+ years of experience in SEO and basic knowledge of digital marketing. Proven track record of successful SEO campaigns and strategies. Strong understanding of search engine algorithms and ranking methods. Experience with various SEO tools and analytics platforms. Excellent analytical and problem-solving skills. Strong communication and teamwork skills. Skills: SEO tools (e.g., Ahrefs, SEMrush, Moz) Google Analytics HTML/CSS Keyword research Content optimization Link building Technical SEO Data analysis More Highlights: 5-Days Working 9:30 AM-6:30 PM Interested candidates can contact us at: WhatsApp: +91-6280636490 or mail your CV at hr@codeblendlabs.com for fixing an Interview. Job Types: Full-time, Permanent, Fresher Pay: ₹18,000.00 - ₹30,000.00 per month Ability to commute/relocate: Chandigarh, Chandigarh: Reliably commute or planning to relocate before starting work (Required) Experience: SEO: 2 years (Required) Location: Chandigarh, Chandigarh (Required) Work Location: In person Application Deadline: 30/03/2025

DESCRIPTION The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis: Using live package and truck signals to adjust truck capacities in real-time HOTW models for Last Mile Channel Allocation Using LLMs to automate analytical processes and insight generation Ops research to optimize middle mile truck routes Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings Deep Learning models to synthesize attributes of addresses Abuse detection models to reduce network losses Key job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and engineering teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS 5+ years of data scientist experience Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience with statistical models e.g. multinomial logistic regression Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) Experience working with data engineers and business intelligence engineers collaboratively Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS Experience as a leader and mentor on a data science team Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Expertise in Reinforcement Learning and Gen AI is preferred Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Title: SOC SR Software Engineer Location: Hyderabad, India Department: Perimeter Security Operations Center (PSOC) About the Role: We are seeking a SOC SR Software Engineer who will design, build, and implement security solutions for our newly established Security Operations Center. As an integral member of our engineering team, you’ll work on developing tools, automation, and infrastructure to support SOC analysts in detecting, analyzing, and mitigating perimeter security threats. You’ll focus on building solutions that enhance incident response capabilities, streamline operations, and provide insights into threats through data visualization and reporting. Key Responsibilities: Tool Development and Automation: Design and develop automation solutions to improve SOC efficiency, with a focus on Content Delivery Networks (CDNs), Web Application Firewalls (WAFs), and Splunk integrations. Build tools that enable analysts to detect, investigate, and respond to incidents faster and with greater accuracy. Threat Detection and Mitigation Solutions: Create detection algorithms and response playbooks for incidents stemming from bot traffic, scanners, malicious actors, and anomalies in customer traffic. Implement solutions that prioritize incidents and reduce alert noise while maintaining high accuracy. Access Control and IP Reputation Monitoring: Engineer and maintain systems that manage whitelisting, network access allowances, and client IP reputation monitoring. Ensure access control solutions align with enterprise security standards and respond dynamically to emerging threats. Data Pipeline and Logging Infrastructure: Develop scalable data pipelines and logging systems to centralize threat intelligence, log traffic patterns, and enhance visibility into perimeter security metrics. Enable SOC analysts to draw insights from high-quality data sources. Threat Pattern Identification and Visualization: Build tools for anomaly detection, pattern recognition, and data visualization, enabling SOC teams to understand and report on threat patterns, including insights into scanner dynamics and attacker capabilities. Security Controls Monitoring: Engineer solutions that continuously monitor the efficacy of security controls, identify coverage gaps in API endpoints, and adapt to the evolving application landscape. Documentation and Knowledge Sharing: Create comprehensive documentation and playbooks that outline tool functionality, automation workflows, and standard operating procedures for SOC use. Ensure documentation is accessible and maintainable. Executive Reporting Solutions: Build systems that generate executive reports on key metrics, such as mitigation impact, financial savings, session counts affected by mitigation technologies, and availability impact due to traffic anomalies. Collaborative Threat Response: Participate in threat detection exercises, incident analysis, and instrumenting mitigation solutions alongside the operations team. Work hands-on with analysts to refine tools and responses based on live incident insights and threat exercises. Required Skills and Qualifications: Automation Expertise: Strong proficiency in automating tasks within CDNs, WAFs, and Splunk. Experience with scripting and programming languages like Python, Bash, or other relevant languages for automation. Experience in Security Engineering: Background in developing security solutions for incident response, perimeter defense, or SOC environments. Familiarity with threat detection and anomaly analysis. Data Pipeline Management: Experience in building and managing data pipelines, logging frameworks, and data visualization for security analysis. Proficiency with data engineering tools and frameworks is a plus. Strong Analytical Skills: Ability to identify and mitigate security threats with minimal false positives, understanding of bot traffic, scanners, and other traffic-based threats. Cross-Functional Collaboration: Effective communication skills, with experience working closely with SOC analysts, incident responders, and engineering teams. Documentation Skills: Proven ability to create clear, accessible, and detailed documentation to support SOC workflows and tooling. This is an opportunity to lead the technical foundation of our Perimeter SOC and develop solutions that directly impact security operations. If you have a passion for engineering solutions that enable effective threat detection and response, we encourage you to apply.

A Multi-Player Gaming Company - Head Digital Works is the pioneer & one of India's largest online skill-gaming companies that develop and operate zeal-driven applications for online gaming enthusiasts. With more than 60 million+ users and multiple brand verticals like A23Rummy and Cricket.com, We have come a long way in the past 18 years. What started from a small garage in 2006 with nothing but a dream - "To become India's leading online gaming portal" has now turned into one of the most profitable start-ups in India that have gone through cycles of angel, venture capital and private equity investments. We're a diverse group of thinkers and doers who are reimagining what's possible to make it easier for all of us to do what we love in new ways. Job Summary: We are seeking a skilled AI/ML Architect to lead the design and implementation of scalable AI and Machine Learning solutions. The ideal candidate will provide technical expertise, guide development teams, and drive performance, scalability and reliability improvements across AI/ML systems. Key Responsibilities: Lead end-to-end architecture of scalable AI/ML solutions tailored to business goals. Mentor data scientists, ML engineers, and software developers on modeling best practices and guide technical implementation across AI/ML projects. Conduct regular performance review of AI/ML models and systems to optimize accuracy and efficiency. Define solution architecture patterns, reference frameworks, and best practices to guide scalable, compliant AI/ML systems enterprise‑wide. Oversee design of data preprocessing, feature engineering, and model serving architecture to ensure robustness and operational readiness. Develop and maintain a Quarterly Tech Debt Roadmap for AI/ML systems to ensure continuous improvement and technical excellence. Collaborate with cross-functional teams including product managers, data analysts, and IT for seamless AI/ML integration and to negotiate for the best possible solution. Continuously evaluate and introduce emerging AI/ML technologies to drive innovation and efficiency. Enable the team to file patents and publish papers in noted journals/conferences. Qualifications : Education & Experience: Master’s/Doctorate in Computer Science, Mathematics, Statistics, or related field. 8+ years of experience in ML/AI with at least 2+ years in Architect role. Progressive experience in AI/ML roles, ideally beginning as a Data Scientist or ML Engineer. Track record of continuous professional development via certifications, patents, publications or conference participation. Technical Expertise: Expertise in AI/ML algorithms across structured (e.g., tabular) and unstructured (text, image, audio) data. Hands-on with ML models including traditional ML algorithms, CNNs, RNNs, GANs, GNNs, Transformers, LLMs and Agentic AI. Expertise in state-of-the-art techniques such as embeddings, supervised fine-tuning (SFT), zero/few-shot learning, NER, RAG, and multi-agent systems.Strong Python engineering skills with modular, maintainable code. Experience designing scalable ML pipelines and architectures. Domain specific capabilities: Understanding of data privacy, model explainability and compliance (e.g., GDPR, model auditability). Familiarity with responsible AI principles, bias mitigation, ethical and secure deployment of ML models. Leadership & Business Impact: Strong problem solving, communication and leadership skills.Demonstrated ability to translate business needs into ML system designs that deliver measurable impact (e.g., revenue, cost savings, customer experience). Experience leading cross-functional teams in delivering large-scale AI/ML solutions in enterprise environments. Tools & Platforms: Proficient in MLOps tools (e.g., MLflow, TFX, SageMaker) and containerization (Docker/Kubernetes), coupled with an AI-first development approach using tools like GitHub Copilot or LangChain. Experience with cloud platforms (AWS, Azure, GCP). What we offer - 1. Competitive salary 2. Mediclaim Policy - Best in Industry 3. Flexible working hours 4. Career Development Program 5. Best in Industry Reward and Recognition program 6. Inclusive and Collaborative Work culture 7. Complimentary snacks are served everyday

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Driven by a passion for innovation and excellence in quality assurance, we are expanding our capabilities in AI-powered testing. As we continue to transform the way mobile applications and hardware-integrated systems are validated, we are looking for a Senior AI Test Engineer to join our dynamic QA team. In this role, you will lead the development of intelligent test automation frameworks, integrating cutting-edge AI technologies to ensure robust, scalable, and efficient testing of mobile applications and hardware-in-the-loop systems. You will work closely with cross-functional teams to drive quality across the release chain and contribute to the evolution of testing excellence. What you will do AI-Powered Test Automation for Mobile Applications Develop AI-driven automation solutions to validate Android and iOS mobile apps using intelligent test strategies. Implement machine learning models for smart test case generation, failure clustering, and test suite optimization. Use computer vision (e.g., OpenCV) and OCR to verify UI elements, gesture recognition, and layout accuracy. Apply reinforcement learning or search-based algorithms for autonomous exploratory and fuzz testing. Build ML-based prioritization systems that analyze crash data, user flows, and historical failures. On-Premise Infrastructure Development for Scalable Test Execution Design and deploy scalable on-premise infrastructure to support parallel, high-throughput mobile app testing. Set up and maintain physical device labs with USB hubs, controlled power cycling, and automated device management. Integrate emulator/simulator orchestration into CI/CD pipelines using tools like Jenkins, GitLab CI, or Buildkite. Implement monitoring and alerting systems for device state, job scheduling, and infrastructure health. Automate provisioning, configuration, and teardown of test environments using infrastructure-as-code principles. Hardware-in-the-Loop (HIL) Testing Architecture Build a HIL test framework integrating real mobile hardware and sensors with automated software testing workflows. Develop interfaces for controlling physical hardware via USB, Bluetooth, GPIO, or serial protocols during tests. Synchronize physical input/output with software test states using time-aligned signal processing and automation logic. Train AI models on proprietary hardware interfaces. Use containerized services and edge computing for reliable and scalable HIL orchestration. AI and Open-Source Tooling Integration Utilize open-source AI/ML libraries such as PyTorch, TensorFlow, scikit-learn, and Hugging Face for model development. Extend existing test frameworks like Appium or Espresso with custom AI-assisted components. Develop Python-based tooling to manage model training, inference, and integration into test workflows. Containerize models and automation agents with Docker and orchestrate workloads via Kubernetes when applicable. Build continuous learning loops from test data pipelines to retrain AI models for improved prediction accuracy. What you bring Experience 4+ years of hands-on experience in automation and AI-driven testing of mobile applications (Android and iOS). Strong background in building intelligent test automation frameworks using tools like Appium, Selenium, and Python. Proficiency in AI/ML technologies and libraries such as TensorFlow, PyTorch, OpenCV, and scikit-learn. Experience with CI/CD environments and infrastructure automation. Familiarity with hardware integration and HIL testing methodologies. Personal competencies Technology-minded with a deep understanding of release chains and testing excellence. Strong analytical and problem-solving skills. Excellent communication skills in professional written and spoken English. Ability to operate independently and collaboratively in a fast-paced, innovation-driven environment. Passion for quality, automation, and continuous improvement. Who we are We are a forward-thinking team committed to redefining quality assurance through AI and automation. By combining deep technical expertise with a passion for innovation, we aim to build smarter, faster, and more reliable testing systems that support the next generation of mobile and hardware-integrated products. Join us and be part of a team that values diversity, collaboration, and the pursuit of excellence.

Overview: The Principal Software Engineer will play a pivotal role in software development activities and long-term initiative planning and collaboration across the Strategy & Transformation (S&T) organization. Software Engineering is the cornerstone of scalable digital transformation across PepsiCo’s value chain. This leader will deliver the end-to-end software development experience, deliver high quality software as part of the DevOps process, and have accountability for our business operations. The leader in this role will provide technical oversight and direction to our software development team to ensure we deliver the best possible software solutions and ensure they are generating value through cost savings or incremental value. This leader will work closely with the user experience, product, IT, and process engineering teams to develop new products and prioritize deliver solutions across S&T core priorities. Responsibilities: Support the vision and guide a team of engineers to build and support digital products and services (DPS) across S&T core priorities Drive partnerships with User Experience, Product Management, IT, Data & Analytics, Emerging Tech, Innovation, and Process Engineering teams to deliver the Digital Products portfolio Develop software development strategy utilizing industry standards. Create roadmap and timing of implementation of the roadmap based on business requirements and strategy. Lead multi-discipline, high-performance work teams distributed across remote locations effectively. Build, manage, develop, and mentor a team of engineers. Interact with executives across the company to lead the narrative around software engineering Develop and expand DPS capabilities through a customer obsessed, services-driven digital solutions platform that leverages data and AI to deliver automated and personalized experiences Manage and appropriately escalate delivery impediments, risks, issues, and changes tied to the engineering initiatives to the stakeholders Interact with key business partners to recommend solutions that best meet the strategic needs of the business Qualifications: A Bachelor’s Degree in Computer Science, Engineering or a related field Master’s or PhD in Computer Science or Engineering preferred Minimum of 8 years of relevant software development and engineering management experience 3+ years of experience on architecting fault tolerant, high scale distributed systems, database design. Commanding knowledge of data structures, algorithms, and object-oriented design 9+ years of experience in Java and Spring / SpringBoot ecosystem, JUnit, BackEnd MicroServices, Serverless Computing, REST APIs, Spring Security, Reactive Programming, GraphQL, SQL queries. 2+ years of experience with JavaScript/TypeScript, CSS, HTML, Node.js, React / React Native FrontEnd frameworks. 5+ years of Experience with NoSQL and/or Relational databases (2 years of NoSQL experience is preferred) Experience with Azure Google Cloud, Amazon Web Services and cloud specific PaaS and SaaS solutions 2+ years of experience with Kubernetes and Production deployment and processes. 4+ years of experience with Kafka Experience with mission critical, 24x7 systems Experience with high throughput cloud native distributed systems Experience implementing and consuming large-scale web services Deep knowledge of design patterns

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Implement software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs Contribute to the design and implementation of new products and features while also enhancing the existing product suite Be a mentor for colleagues and help promote knowledge-sharing Qualifications To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 4+ years of experience with Java or a similar OO language Passion for JavaScript and the Web as a platform, reusability, and componentization Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations Experience with any of the modern UI frameworks like Angular, React or Vue Analytical and design skills FD21 Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

We are seeking a Senior Firmware Embedded Engineer with 3–4 years of hands-on experience in embedded system design and firmware development. The ideal candidate must possess technical expertise in NXP SE050 secure element integration, communication protocol development (I2C, UART), and cryptography/cybersecurity implementation for secure embedded solutions. Responsibilities Design, develop, and optimize firmware for embedded systems, focusing on security and efficiency. Integrate and configure NXP SE050 secure element, ensuring robust cryptographic functionalities and secure operations. Implement and troubleshoot communication protocols, specifically I2C and UART, for device-to-device communication. Lead, execute, and document embedded firmware lifecycle—from requirements gathering through to system validation and support. Collaborate closely with hardware and software teams for seamless integration and troubleshooting of systems. Apply cryptography and cybersecurity best practices throughout development to achieve secure data transmission, authentication, and integrity. Conduct code reviews; mentor and support team members in knowledge-sharing and technical guidance. Ensure compliance with relevant standards and maintain high documentation quality. Qualifications Bachelor’s or Master’s degree in Electronics, Computer Engineering, or a related field. 3–4 years professional experience in embedded firmware development. Proficient in C/C++ for embedded applications. Proven expertise with NXP SE050 secure element integration. Hands-on experience with I2C and UART communication protocols. Practical knowledge of cryptographic algorithms and cybersecurity for embedded systems. Experience with microcontroller programming, debugging, and real-time system development. Familiarity with version control systems (e.g. Git). Strong problem-solving skills and excellent attention to detail. Effective verbal and written communication skills. Job Types: Permanent, Freelance Pay: ₹500,000.00 - ₹600,000.00 per year Ability to commute/relocate: Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How many total years of experience do you have? Do you have experience in NXP SE050 ? Do you have experience in I2C, UART, Cryprography/CyberSecurity ? What is your current CTC? Can you join within a 2-3 days or 1 week? Experience: Firmware Embedded: 3 years (Required) Work Location: In person Speak with the employer +91 9265389374

Job Description Overview The purpose of this role is to lead and coordinate the forecasting analyst team for Sector IBP-Forecasting Markets to generate a sound driver-based forecast as starting point for the Demand Planning process within IBP by ensuring the right data is available for the IBP forecasting engine (PFE), executing the models that generate the forecast. The forecasting analyst roles will collaborate day to day with the Demand Planners to ensure the forecast is as per business needs and with the Data Scientists to continuously improve the forecasting engine and the data to improve the forecast accuracy. The forecasting analyst will work both on Mid-Term (monthly / 24 months) and Short-Term (weekly / 16-20 weeks) depending on the scope assigned within a BU The scope of this role oversees all the Bus in Sector Forecasting Analyst and will have a dotted line reporting relationship with the Global IBP Forecasting Excellence Lead and a solid line with the Global GCC Forecasting Lead This is a key role in IBP as Driver Based Forecast and the PFE are key components to enable the One Plan in the IBP/DP process Responsibilities Critical role in ownership, execution and improvement of the Driver Based Forecast in IBP or PFE Forecasting markets Lead and coordinate the team of forecasting analysts working for Sector BUs Be the main point of contact for Sector and Global IBP / S&T teams and support Forecasting Analyst by BU on their BU stakeholder management. Main point of contact to coordinate and prioritize improvements to the PFE with Data Science Global teams working on the Sustain and continuous Improvement of the BU Demand Planning Leads and Data Scientist working for that specific BU Lead and ensure that the Forecasting Analyst perform their process and tasks in the for Short-Term, Mid-Term Forecasting Models and all the required demand streams in the BU: Ensure all demand drivers are being captured in the driver-based forecast Reconcile data inputs to confirm that all volume driver data is complete and there are no gaps Ensure all the Master Data needed to activate, deactivate, substitute DFUs in the Demand Planning systems and all associated lifecycles management activities at the different levels of the hierarchy are consistently executed. Manage the overall/massive master data management. Ensure history corrections, outliers corrections and realignments needed to run the models are executed properly and manage events that apply to all BU and history realignments Ensure models run correctly and the output is complete and consistent Perform small adjustments in the forecasting engine parameters / data inputs to capture demand trends or patterns that are not well reflected based on own findings or feedback from the Demand Planners Measure and Report Forecasting KPIs Drive overall Forecast Continuous Improvements and Root Cause Analysis with the Demand Planners and perform the analysis on the modelling. Identify improvement areas and recommended actions. Collaborate with Demand Planners and Data Scientists to define an implement an improvement backlog on the models Support Data Science in the Experimentation, test and evaluation of the improvements and its validation with the Demand Planners before its implementation Coordinate Sector Forecast Accuracy reporting, Demand and Forecast Performance Analysis and Continuous Improvement Plan across Sector, defining the priorities across markets based on overall impact to the business Drive segmentation calculations and review and validate with the demand planners for its implementation Leverage and share best practice which will impact on the wider PepsiCo ecosystem ensuring the best for PepsiCo and therefore enabling its Better, Stronger and Faster ambitions Support Forecasting process and tool improvement initiatives Qualifications Holder of both a Bachelor’s and Master’ degree (preferably with studies in Business Administration, Engineering, Supply Chain, Finance). Having an MBA is a plus. Experience in generating accurate demand statistical forecast and in advanced forecasting models including Machine Learning algorithms at fast moving consumer goods including a collaborative planning, demand sensing, promotions planning, new product introduction planning, demand shaping and demand scenarios management Proficiency in Data Analysis and Insights. Ability to navigate across large amounts of data, understand the gaps, identify exception and extract insights to form conclusions and inform decisions, with strong analytical skills. High level of understanding on commercial activities and how they driver demand in FMCG and strong understanding of the demand planning and forecasting processes Ability to process and resolve complex issues, establish priorities and action plans 10-12 years of over all experience with 8+ years in Demand planning or forecasting Experience at a middle level in the FMCG industry is a plus Experience in managing and organizing teams Collaborative and team player Strong in both strategic and analytical thinking Strong in organizational skills and attention to detail Good business acumen with results orientation Ability to generate consensus via strong network & collaborations skills Fluent in English with Local Language (for Mus assigned – is a plus) Strong understanding of the IBP processes, demand planning and forecasting. Comfortable with process discipline and process adherence, but also able to identify and take opportunities to further develop and strengthen the process without compromising the end state

Location: Paschim Vihar, New Delhi, India/ On-site Company Description Glocery is a unique skincare brand focused on nature’s finest ingredients, offering green-fed skincare rituals crafted for health and radiance. Our products are powered by a blend of familiar and exotic greens like kale, spinach, spirulina, barley, and basil, designed to nourish and restore. Rooted in plant science and backed by modern skincare technology, Glocery is dedicated to intelligent, slow beauty that results in a sustained glow. Welcome to Glocery — your skin’s green pantry. Role Overview The Digital Marketing Specialist will be responsible for managing and growing Glocery’s digital presence across multiple platforms. This role will involve creating and executing engaging content, running strategic marketing campaigns, overseeing product shoots, and building brand awareness in the skincare and wellness industry. Key Responsibilities Develop and implement social media strategies to grow audience engagement across Instagram, Facebook, Pinterest, and other platforms. Plan, create, and schedule high-quality content including posts, reels, stories, and videos that align with brand aesthetics and tone. Write compelling content for social media, website, newsletters, and marketing campaigns. Conceptualize and manage photoshoots and video shoots for product launches, campaigns, and lifestyle content. Monitor and analyze social media performance metrics to optimize campaigns and engagement. Create and manage paid advertising campaigns (Meta Ads, Google Ads, etc.) to increase brand reach and conversions. Collaborate with the creative team to ensure consistent brand voice and visual identity . Research skincare and wellness trends to identify content opportunities and stay ahead in the market. Develop and execute influencer marketing strategies to expand brand reach. Contribute to email marketing campaigns and promotions. Qualifications & Skills Bachelor’s degree in Marketing, Communications, or related field (preferred but not mandatory if compensated by experience). 2+ years of experience in digital marketing, preferably in the skincare, beauty, or wellness industry . Strong understanding of social media algorithms, SEO basics, and paid ad campaigns . Exceptional copywriting and storytelling skills with a flair for engaging content. Experience in content creation and photoshoot coordination . Proficiency with Canva, Adobe Creative Suite, or similar design tools is a plus. Strong analytical skills with the ability to interpret social media and campaign performance data. Creative, detail-oriented, and passionate about skincare and wellness. Ability to work independently and manage multiple projects in a fast-paced environment. Why Join Glocery? Opportunity to work with a new, trend-forward skincare brand from the ground up. Creative freedom to bring your marketing ideas to life. Be part of a passionate team focused on clean, conscious beauty . 📩 How to Apply: Please submit your application directly via LinkedIn Jobs for this role or s end your CV, portfolio, and any relevant work samples to gunina.chawla2001@gmail.com with the subject line: Digital Marketing Specialist – Glocery .

Role Overview We are seeking a Content & Social Media Strategist to develop and execute Warra’s content strategy across Instagram, Pinterest, LinkedIn, Email, and WhatsApp. This role requires a strategic thinker who can blend creativity with analytical insight to ensure consistent, engaging, and brand-aligned communication across all platforms. Key Responsibilities 1. Content Strategy & Planning - Develop and maintain a monthly content calendar for Instagram,Pinterest, and LinkedIn that aligns with Warra’s brand campaigns,product launches, and seasonal trends. - Ensure a consistent brand voice, tone, and aesthetic across all channels. -Work closely with the founder, marketing to translate brand vision into actionable content. 2. Social Media Execution - Create, curate, and schedule high-quality content (posts, reels,stories, pins, carousels) for Instagram, Pinterest, and LinkedIn. - Engage with followers, respond to comments/messages, and foster meaningful conversations with our audience. 3. Email & WhatsApp Marketing - Develop an email marketing calendar aligned with campaigns and product drops. - Write compelling email copy that reflects Warra’s tone and drives engagement. - Plan and execute WhatsApp marketing messages, ensuring value-driven,non-intrusive communication that encourages conversions. 4. Performance Tracking & Optimisation - Monitor analytics for social media, email, and WhatsApp campaigns. - Report monthly on performance metrics and recommend optimisations based on data. - Continuously refine strategies to improve reach, engagement, and conversion rates. Requirements - 2–4 years of experience in content strategy, social media management, or digital marketing — preferably in fashion, luxury, or lifestyle brands. - Strong understanding of Instagram, Pinterest, and LinkedIn algorithms and audience behaviour. - Proven experience in creating and executing successful multi-platform content strategies. - Excellent copywriting skills with a flair for storytelling. - Basic knowledge of graphic design tools (Canva, Photoshop,Illustrator) is a plus. - Experience with email marketing tools and WhatsApp marketing platforms. - Strong organisational skills and attention to detail. - Ability to work collaboratively in a fast-paced, creative environment. About Warra Warra is a luxury Indo-Western wear brand that celebrates modernfemininity with elegance, authenticity, and purpose. We create clothing that makes women feel confident, comfortable, and beautiful — inside and out. Our brand voice is rooted in quality, storytelling, and celebrating individuality. What We Offer - Opportunity to work with a premium luxury fashion brand with a strong creative vision. - A dynamic, creative, and collaborative work environment. - Exposure to multiple aspects of brand building — from strategy to execution. - Growth opportunities within a fast-evolving brand. If you’re passionate about storytelling, brand building, and creating content that resonates, we’d love to hear from you. To Apply: Send your resume, portfolio (or examples of past work), and a short note on why you’d like to work with Warra to support@warra.in