26020 Algorithms Jobs - Page 31

Job Description We are seeking a skilled and detail-oriented Neo4j Engineer with 4+ years of experience in graph database development and management. In this role, you will design, implement, and optimize graph-based data models and queries, ensuring high performance and scalability. You will work closely with data scientists, backend engineers, and product teams to build graph-powered features that drive intelligent, connected experiences in our products. Key Responsibilities Design, implement, and maintain Neo4j graph database solutions for various business use cases. Model complex relationships and data structures into efficient and scalable graph data models. Write and optimize queries to ensure fast query execution and system performance. Integrate Neo4j with backend services, APIs, and data pipelines. Collaborate with data scientists and engineers to incorporate graph algorithms and analytics into applications. Monitor database performance, perform tuning, and troubleshoot issues. Ensure database security, backup strategies, and disaster recovery processes. Evaluate and implement Neo4j plugins, extensions, and advanced graph features. Stay up to date with the latest developments in graph databases, graph algorithms, and related technologies. Document architecture, queries, and development processes for internal knowledge sharing. Requirements Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. 4+ years of experience working with Neo4j or other graph databases. Strong proficiency in query language. Hands-on experience with graph data modeling and database optimization techniques. Proficiency in a backend programming language such as Java, Python, or Node.js. Experience with integrating graph databases into production applications. Familiarity with graph algorithms and analytics techniques. Knowledge of ETL pipelines, data integration tools, and API development. Understanding of database security, indexing, and scalability best practices. Excellent problem-solving skills and attention to detail. Preferred Skills Experience with GraphQL and Neo4j GraphQL libraries. Familiarity with big data and cloud platforms (AWS, GCP, Azure). Knowledge of other NoSQL databases such as MongoDB or Cassandra. Why Join Us Build with Purpose: Work on impactful, high-scale products that leverage graph technology to solve complex, real-world problems. Tech-First Culture: Join a team where engineering excellence is at the core — we prioritize clean code, scalability, automation, and continuous learning. Freedom to Innovate: You’ll have ownership from day one — with room to experiment, influence architecture, and bring your ideas to life. Collaborate with the Best: Work alongside passionate engineers, product thinkers, and designers who value clarity, speed, and technical excellence. Job Types: Full-time, Permanent Work Location: In person

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- PayPal Lending ML team is looking for an experienced Machine Learning Scientist to help us develop and enhance machine learning/AI capabilities and innovate to grow PP Credit products. This is an excellent opportunity to join a team of intelligent and passionate engineers and scientists and to help shape the future of the Lending Business at PayPal. Meet our team PayPal Lending ML team is responsible for building ML/AI solutions that drive impact across PayPal. We build innovative solutions that interact with customers throughout the lending lifecycle with a strong focus on driving PP growth and business. Job Description: Your way to impact Identify AI ML opportunities and build solutions that impact the business Explore and execute to get solid results Impact team, partners and business through PayPal values Your day to day In your day to day role you will Lead ML Projects and Conduct research to identify new and innovative ML techniques. Innovate to create efficiencies for the team and the business. Work closely with other engineers, analysts and leaders to implement and optimize ML models. Develop and implement best practices for ML model management, deployment, and monitoring. Collaborate with other teams to ensure ML models are integrated into the product and services. Assist with troubleshooting and resolving technical issues. Responsible for documentation, project tracking, and quality controls. What Do You Need To Bring- The ideal candidate will possess a degree in engineering, science, statistics or mathematics with strong technical background in machine learning. We are looking for candidates who have excellent communication skills, an analytical mindset, and a passion for problem-solving. 2+ years of hands-on experience with problem-solving using Machine Learning Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, BigQuery, SQL, is required. Candidates should have in-depth knowledge of machine learning algorithms, explainable AI methods, GenAI and NLP. Experience with Cloud frameworks such as GCP, AWS is preferred. Experience with Lending and Financial services is a plus. 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 R0128064

Job Summary: Senior profile with ateast 6+ years of hands on experience in Python with AI. Proficiency in Python and experience with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. Solid understanding of machine learning algorithms, model evaluation, and data preprocessing techniques. Experience working with structured and unstructured data. Familiarity with version control systems (e.g., Git) and collaborative development practices. Strong problem-solving skills and ability to work independently or in a team. Desired Skills: Experience with natural language processing (NLP), computer vision, or time-series forecasting. Familiarity with MLOps tools and practices for model deployment and monitoring. Experience with Generative AI models such as GPT, LLaMA, or Stable Diffusion. Familiarity with prompt engineering, fine-tuning, or embedding techniques for large language models (LLMs). Hands-on experience with LLM frameworks like LangChain, Haystack, or Transformers (Hugging Face). Understanding of vector databases (e.g., Postgres, Pinecone) for retrieval-augmented generation (RAG) pipelines. Contributions to open-source AI/ML projects or published research. Locations: Hyderabad / Chennai / Bangalore / Pune . Interested candidates can share their resumes on hr@neev.global or Call on 9429691736. Job Type: Full-time Pay: ₹2,300,000.00 - ₹2,600,000.00 per year Work Location: In person

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. Design 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. Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have. 10 to 13 years of experience with Java or a similar OO language Experience in Authentication, Security Background, SAML, OIDC, OAuth familiarity etc 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 Ability to manage projects with material technical risk at a team level 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.

Job Requirements Software Engineer (Development and test) o Excellent C programming skills o Responsibilities include specification and development of Embedded Software for use in standalone products. This will involve designing and implementing software subsystems to control FPGA/ASIC Hardware solutions. We are seeking a fast learning, dynamic engineer eager to develop their skills working with the latest FPGA/ASIC technology. Work Experience § Experience with software development in a Linux environment § Experience in designing SW API interfaces. § Experience in C/C++ programming § Experience with Multi-threaded software development in Linux environment § Experience in Firmware development, register interface programming, general algorithms and data structures § Experience with development of software targeted for x86, standalone and RTOS platforms § Experience with Zephyr RTOS and NVMe technology is a great advantage. § Experience with embedded processors such as ARM, RISCV, TenSilica § Strong debugging skills at device and board level using gdb, JTAG debuggers § Experience of having worked in Storage Technologies § Scripting language experience like Python is an advantage § Excellent interpersonal, written and verbal communication skills § Excellent communication, problem solving and analytical skills

As a Software Engineer II , you will contributes to processes for the architecture of a product/solution feature and helps to create proposals for architecture by testing design hypotheses and helping to refine code plans, with technical leadership from others. Helps to identify other teams and technologies that will be leveraged, how they will interact, and when one's system may provide support to others. Supports efforts to apply debugging tools and examines logs, telemetry, and other methods to verify assumptions proactively before issues occur and reactively as issues occur for product features. Participates in code reviews to ensure coding standards are followed. Conducts and creates experimentation to determine the effectiveness of changes for prototyping and testing features, and applies findings back into development. Maintains operations of live service as issues arise on a rotational, on-call basis. Alerts stakeholders as to the status and gains approval to restore system/product/service for simple problems. Responds within Service Level Agreement timeframe. Contributes to the development of automation within production and deployment of a complex product feature. Considers partners across teams and their end goals for products to drive and achieve desirable user experiences and fitting the dynamic needs of partners/customers through product development. Agility: Ability to think, understand, and process information quickly. Algorithm Design and Implementation: The ability to design, analyze, implement, optimize, profile and experimentally evaluate computer algorithms. Includes knowledge of practical applications of algorithms in software engineering. Computer Science: The ability to apply computer science principles (e.g., data structures, algorithms, run-times), statistics and computer architecture to implement, adapt, or apply concepts when programming. Detail Oriented: The ability to attend to and verify the accuracy and completeness of detailed information in documents, on the computer, and/or in other work products. This includes being able to code, file, compile, transcribe, classify, and/or track details from a variety of different sources/problems/issues. Engineering Lifecycle: Knowledge of the engineering lifecycle that provides for task estimation, design and code review, specification review, bug triage, code check-in, sign-off, test targeting, and performance standards to meet customer and business goals. English Language Proficiency: The ability to speak and understand English when giving instructions and directions, and when talking with colleagues, managers, and others for work matters. Oral Communication: The ability to make a verbal message understood and to receive/understand messages during in-person or remote (e.g., telephone) interactions. Problem Solving: The ability to identify problems and review related information to develop and evaluate options and implement solutions. Software Development: Knowledge of the software development process, including conception, specification, design, programming, documentation, testing, and bug fixing to create and maintain applications, frameworks, or other software components. Writes Code: The ability to write clear and efficient code in one or more relevant computer programming languages (e.g., Java, C/C++, Python, JavaScript) to develop computer programs that solve a business problem. Written Communication: The ability to prepare clear, accurate, and understandable written text, and follow the basic rules of spelling, grammar, and punctuation. This may include memos, emails, proposals, reports, and professional or general correspondence. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Coding: Creates and implements code for a product, service, or feature, reusing code as applicable. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code. Supports efforts to apply debugging tools and examines logs, telemetry, and other methods to verify assumptions proactively before issues occur and reactively as issues occur for product features. Conducts retrospective debugging of solutions to identify root causes of problems. Reviews code of a product feature to assure it meets the team's and Microsoft's quality standards, is reliable and accurate and is appropriate for the scale of the product feature. Applies feedback to current and future iterations. Participates in code reviews to ensure coding standards are followed. Considers diagnosability, reliability, and maintainability when reviewing code and understands when code is ready to be shared or delivered. Design: Creates a clear and articulated plan for testing and assuring quality of solutions, and defines success for outcomes of tests (e.g., unit tests). Adds new tests, removes antiquated tests, and aggregates tests to improve tests in the feature area. Helps to drive efforts for augmenting test cases and ensures that the solution area has good test coverage. Helps to integrate automation features when planning for testing. Engineering Excellence: Builds knowledge, shares new ideas, and shares pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for complex product features. Uses open source when possible. Develops higher-level awareness of other kinds of tools outside areas of expertise. Helps to identify internal tools and creates tools that will be useful for creating the product, determining if methods are still applicable for the current solution. Contributes to the development of automation within production and deployment of a complex product feature. Runs code in simulated, or other non-production environments to confirm functionality and error-free runtime for products with little to no oversight. Implement: Conducts and creates experimentation to determine the effectiveness of changes for prototyping and testing features, and applies findings back into development. Reviews work items to deepen knowledge of product features in partnership with appropriate stakeholders (e.g., project managers) and executes project plans, release plans, and work items. Contributes to efforts to break down larger work items into smaller work items and provides estimation. Escalates any issues that would cause a delay. Reliability and Supportability: Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Alerts stakeholders as to the status and gains approval to restore system/product/service for simple problems. Responds within Service Level Agreement (SLA) timeframe. Escalates issues to appropriate owners. Identifies areas to efforts to integrate instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, usage, and safety mechanisms. Contributes to sustaining feedback loops from telemetry resulting in subsequent designs. Helps to create outputs of telemetry such as notifications or dashboards. Understand User Requirements: Works with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements for a set of features. Begins to leverage a variety of feedback channels to incorporate insights into future designs or solution fixes. Incorporates appropriate continuous feedback loops measuring customer value, usage patterns, and other actionable metrics of value. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check : This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Master's Degree in Computer Science OR related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. #M365Core Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Associate - Software Engineer Date: Aug 13, 2025 Location: Hyderabad, IN Requisition ID: 16348 Description: About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Description Senior Software Engineer Job Title: Senior Software EngineerWe are looking for a Senior Software Developer who possesses a passion for building great applications using the latest technologies, takes pride in new technologies, and could work with our team to understand, design, and build the next generation of software. Your primary goal will be to work on and create the software as per the user’s and market’s demands. If you believe you have a niche for new technologies to work on, you will be our first choice. Key Responsibilities You will be responsible for understanding business needs and knowing how to create and manage the tools, and you will be responsible for conferring with users, studying system flow, data usage, and work processes following the software development lifecycle. You will be responsible for identifying, prioritizing and executing tasks in the software development life cycle. You will be responsible for performing validation and verification testing. You will have to collaborate with the internal teams and vendors to fix and improve products. You will be responsible for updating and maintaining the software and products. You will be responsible for providing mentorship to junior engineers. Education and Experience A bachelor’s degree in computer science. At least 3+ years of experience in software development using Java/J2EE One should have a strong knowledge of data structures, algorithms, and computer science fundamentals. Should have a strong knowledge of coding and good problem-solving skills. Should have a good knowledge of databases. Good experience working with AWS cloud. Should be knowledgeable and experienced in web architecture. Essential Skill Set •Must be proficient in Java/J2EE platform•Proven experience in Spring boot, ReactJS, AWS, Postgres, SQL Server Should be good at working collaboratively with others to achieve goals. Should be proficient in RDBMS, data structures, and algorithms. Should have excellent written and verbal communication skills. Should have good problem-solving and time-management skills for better productivity. Should have familiarity with operating systems like Linux, Windows, etc. Should have excellent organizational and leadership skills. Should be able to work independently. Should have prior experience and expertise in developing software. Should have expertise in developing high-quality software design and architecture. Should be proficient in reviewing and debugging codes. Should have good experience leading junior engineers and developers. ️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Job Overview: We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences. Experience: 4- 12 years Location: Hyderabad (5 Days work from office) Working Days: Sunday to Thursday Timings: 10AM to 6PM Note: Please apply if you have minimum 4 years of experience as this is a mid-senior level position Key Responsibilities: LLM Development & Integration: Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support. Evaluate and improve the performance of LLMs in real-world scenarios. NLP System Design: Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization. Work with large datasets to train and validate NLP models. Collaborate with cross-functional teams to identify and address language-based challenges. Speech-to-Text Implementation: Develop and optimize speech-to-text pipelines for various languages and dialects. Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality. Stay updated on the latest advancements in automatic speech recognition (ASR). Performance Optimization: Enhance AI model efficiency for scalability and real-time processing. Address biases, improve accuracy, and ensure robustness in all models. Research and Innovation: Stay abreast of the latest research in LLM, NLP, and speech technologies. Experiment with emerging techniques and integrate them into company solutions. Documentation and Collaboration: Maintain comprehensive documentation for models, processes, and systems. Collaborate with product managers, software engineers, and other stakeholders. Requirements Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven experience in LLM development (e.g., OpenAI, GPT, or similar frameworks). Strong understanding of NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face). Hands-on experience with speech-to-text systems like Google Speech API, Whisper, or similar technologies. Proficiency in programming languages such as Python, along with frameworks like TensorFlow or PyTorch. Strong problem-solving skills, a collaborative mindset, and the ability to manage multiple projects simultaneously.

Overview: The purpose of this role is to lead and coordinate the forecasting analyst team for a specific BU 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 Responsibilities: Critical role in ownership, execution and improvement of the Driver Based Forecast Lead and coordinate the the team of forecasting analysts working for a specific BU while being directly responsible for part of the scope Be the main point of contact for BU Demand Planning Leads and Data Scientist working for that specific BU For Short-Term, Mid-Term and Demand Sensing 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 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 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 8-10 over all years experience with 6+ 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

Job Summary: We are looking for a Senior Data Structures and Algorithms (DSA) Trainer who is passionate about teaching and mentoring students. This role is ideal for professionals with advanced programming expertise and a strong understanding of DSA concepts, who are eager to share their knowledge and inspire the next generation of developers. Location: Hitech City, Hyderabad. Shift Timings: 9.30 am to 6.00 pm Work Mode: Work From Office / On-Site. Roles and Responsibilities: 1. Deliver engaging training sessions on DSA, Advanced Programming Concepts, & Competitive Programming. 2. Develop and refine advanced-level course materials, assignments, and hands-on projects to meet industry standards. 3. Mentor students in solving coding problems, optimizing algorithms, and preparing for technical interviews. 4. Collaborate with other trainers and team to improve training methodologies and content. 5. Evaluate student performance through coding tests, projects, and real-world coding challenges. 6. Stay updated with industry trends and incorporate them into the training programs. 7. Provide constructive feedback to learners and guide them in their career development. Skills and Qualifications: ● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. ● Minimum 3+ years of experience in software development, technical training, or competitive programming. ● Excellent communication and presentation abilities. ● Strong problem-solving and analytical thinking skills. ● Ability to inspire and motivate students. ● Technical Expertise: ○ Proficiency in C++, Java, and Python. ○ Strong command over arrays, linked lists, trees, graphs, hash maps, and other core data structures. ○ Expertise in sorting, searching, dynamic programming, greedy algorithms, and optimization techniques. ○ Familiarity with competitive programming paradigms, including bit manipulation, game theory, and advanced graph algorithms. Benefits and Learnings ● Opportunity to work with a dynamic team ● Competitive salary and performance-based incentives. ● A collaborative and growth-oriented work environment. Job Types: Full-time, Freelance Pay: Up to ₹120,000.00 per month Benefits: Flexible schedule Work Location: In person

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. Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs Help design and implement new products and features while also enhancing the existing product suite 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. 2+ 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 Working knowledge and ability to use tools to assist with daily tasks (IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools) 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. 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.

P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters. Dedication from Us : You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. What we Offer : Continuous mentorship – work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment– employees are at the centre, we value every individual and support initiatives, promoting agility and work/life balance. Overview of the Job : Purchases Manager will be to create and implement sourcing plans for goods and services to foster innovative and superior services. Find and cultivate possible partners with special skills that can help you make use of the startup ecosystem to unlock the next value S curves. Working with a multi-functional team that includes members of R&D, engineering, marketing, plant operations, etc., take the lead in identifying and putting value-creation ideas into action. To achieve the best value overall, lead negotiations, competitive bids, and contracts with suppliers and agencies. Overview of the function : P&G Supply Chain & Logistics is a global business area. Here, we continually innovate standard processes and technology, plan the demand and supply for markets, work with analytics, craft innovative algorithms, and build the physical design of our supply networks across the world. P&G Purchasing professionals demonstrate their skills in strategy, collaborative approach, analytics, material supply management, and execution to continuously drive value for our brands. Our most effective leaders have a balance of sourcing and supply mastery, and a breadth of experience across materials, services, and industries. A career here will develop your ability to be a business leader and build opportunities for projects across many functions throughout the company. Your Team: This role reports to Senior Purchases Manager or Purchases Director. The purchases team is a vibrant, capable team of professionals organized into sub-teams aligned to business units. You will be working with these professionals in coordination with other teams. What success looks like : Top-line growth by sourcing innovative capabilities for the P&G brand. Bottom-line improvement by driving cost efficiencies via sourcing and loss-elimination interventions. Cash flow improvement by extending credit terms and inventory reduction. Optimum spending by establishing and enforcing controls. Responsibilities of the role: Lead market and landscape analysis to gain deep insights. Develop sourcing strategies for spend under management using insights from spending analysis. Implement sourcing strategy via tactics like negotiation, competitive bidding, etc. Build strong relationships with suppliers or agencies to unlock value. Lead multi-functional teams across marketing, operations, sales, R&D, engineering, etc to deliver S curves of value. Stay on the cutting edge of developments in the marketplace. Role Requirements: Basic educational qualification - Graduate or Master or any relevant degree from recognized universities or educational institutes. Ability to embrace and lead changes. Effective communication skills. Demonstrated leadership skills delivering breakthroughs & influencing partners. Critical Thinking and Leadership - the ability to recognize strategic opportunities and be able to enrol others in radical thinking to get results. Analytical Skills - the candidate is required to have a validated ability to visualize, eloquent, and seek problems and concepts, make decisions that make sense based on available information, proficient in digital tools, and dashboarding. Problem-solving skills – the candidate is required to have the ability to dive deep into problems in a structured manner. Ability to influence & collaborate with teams across functional boundaries (R&D, Finance, Legal, etc.) to develop and deliver strategy and action plans to achieve desired business results. We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more. We are an equal-opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor. At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do. All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.”

Role Overview: We are seeking a skilled Data Scientist to join our cutting-edge research team working on EEG and EMG signal analysis. This role offers the unique opportunity to implement state-of-the-art algorithms from research papers, develop deep learning models for neural signal processing, and contribute to groundbreaking neuroscience research. What makes this role exciting: You'll work with advanced signal processing techniques, implement algorithms from the latest research papers, and develop Machine Learning/Deep Learning models for neural recordings. Your work will directly contribute to published research and conference presentations Key Responsibilities Algorithm Implementation: Implement advanced signal processing algorithms from research papers, including spatial filtering techniques, time-frequency analysis methods, and other cutting-edge approaches Data Preprocessing & Cleaning: Handle complex EEG/EMG datasets, perform signal filtering, artefact removal, and data preparation for analysis Model Development: Build and train machine learning and deep learning networks for neural signal classification Model Training & Optimization: Conduct hyperparameter tuning, cross-validation, and model optimization for various machine learning approaches Performance Evaluation: Implement metrics, validation frameworks and statistical analysis to evaluate model performance Documentation: Maintain comprehensive documentation of methods, results, and experimental procedures MLOps Implementation: Adopt best practices of MLOps for model training, evaluation and inference capabilities. Feature Engineering: Extract and analyze statistical features from EMG signals including spectral analysis, entropy measures, and channel dominance Required Qualifications Experience: 2-3 years minimum in data science, machine learning, or signal processing roles Programming Skills: Proficiency in Python and optionally in MATLAB Deep Learning: Hands-on experience with TensorFlow, PyTorch, Keras frameworks or at least a strong experience with scikit-learn. Machine Learning: Strong foundation in supervised learning, particularly SVM and neural networks Time Series Analysis: Demonstrated experience working with time series data and signal processing techniques Implementation Skills: Excellent ability to translate research papers into working code implementations Technical Stack Python , MATLAB, TensorFlow, PyTorch, SVM ,CNN-LSTM Preferred Qualifications Time series analysis experience in any domain (finance, IoT, sensor data is also acceptable) Strong mathematical background in signal processing or machine learning theory Experience scaling ML models with large datasets Knowledge of statistical feature extraction and spectral analysis Personal Traits We Value Complete Ownership: Take full responsibility for your work, owning both successes and failures with accountability Collaborative Spirit: Genuine desire to help colleagues and contribute to the organization's success Data Enthusiasts: Someone who genuinely enjoys exploring data and finds satisfaction in uncovering insights Research Mindset: Curiosity to explore independent research directions and contribute to scientific knowledge Growth & Development This is a permanent position with exceptional growth opportunities Leadership Development: We mentor and encourage leadership qualities in every role we hire Industry Partnerships: Work with leading neuroscience labs and premier medical institutions to drive real-world impact Research Publications: Active involvement in publishing basic and applied neuroscience papers Conference Presentations: Opportunities to present research findings at scientific conferences Mentorship Opportunities: Future prospects to mentor interns and junior team members Independent Research: Encouraged and supported to pursue your own research interests You'll receive close mentorship on research methods while having the autonomy to implement and optimize solutions independently. Skills: research,learning,machine learning,deep learning,algorithms,processing,data,signal processing,signal,contribute,python,tensorflow,matlab,pytorch,keras,support vector machine (svm),cnn-lstm

20 hours ago Hyderabad, India | Full Time | Intern Skills Required Non-Negotiable Skills: javascript Reactjs Nodejs HTML & CSS MongoDB Express JS Ownership Seeker Mindset Passionate Towards Work Unbeatable Work Ethics Ability to comprehend communication Negotiable Skills: Gen AI API Integration Job Description Department: Full Stack Development Ready to revolutionize the tech world? Join Techolution as a Full Stack Intern and dive into the exciting realm of AI-powered innovation! You'll collaborate with cross-functional teams, develop cutting-edge solutions using the MERN stack, and even implement AI and machine learning algorithms. This internship in Hyderabad offers a unique opportunity to work on projects that truly impact lives, all while honing your skills in frontend, backend, and everything in between. If you're passionate about technology and eager to learn, this could be your launchpad into a future of endless possibilities! Develop and maintain responsive web applications using JavaScript , React.js , and Node.js , ensuring seamless user experiences across devices Implement server-side logic and RESTful APIs using Express.js , enabling efficient data flow between front-end and back-end systems Design and optimize MongoDB database schemas, ensuring efficient data storage and retrieval for scalable applications Collaborate with cross-functional teams to translate design mockups into pixel-perfect HTML and CSS , adhering to best practices and accessibility standards Demonstrate strong ownership by taking initiative on assigned tasks and seeing them through to completion Cultivate a seeker mindset by actively researching and implementing emerging web technologies and best practices Exhibit passion towards work by consistently delivering high-quality code and actively participating in code reviews Showcase unbeatable work ethics through meeting deadlines, maintaining code integrity, and adhering to team standards Enhance ability to comprehend complex technical requirements and translate them into practical solutions Utilize effective communication skills to articulate ideas, collaborate with team members, and present work to stakeholders About Techolution At Techolution, we specialize in building custom AI solutions that deliver innovation and drive measurable outcomes for enterprises worldwide. With our specialized expertise we help businesses take AI from their labs into the real world. What We Do At Techolution, we specialize in building custom AI solutions that deliver innovation and drive measurable outcomes for enterprises worldwide. With our specialized expertise we help businesses take AI from their labs into the real world. Our Unique Value Proposition White Glove Service: From Ideation Innovation Integration, we lead the way to deliver meaningful outcomes, enabling your team to operate AI solutions independently. Human-AI Partnership: Our Govern Guide Control (GGC) framework ensures responsible AI governance, aligning solutions with your organizational requirements and brand identity. Customized AI Solutions: We tailor AI to your enterprise needs, delivering from concept to implementation with our turnkey approach at a guaranteed price. Awards and Recognition 2024 Forbes publishes the best-selling book by our CEO, "Failing Fast?: The 10 Secrets to Succeed Faster." 2023 AI Solutions Provider of the Year - AI Summit 2022 Best in Business Award - Inc. Magazine Perks & Benefits Comprehensive perks and benefits supporting your growth, well-being, and work-life balance at Techolution. Medical insurance Employee recognition program Success ownership program Free meals and snacks

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. 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.

This role for Group Lead - Data Scientist is to provide people leadership and analytical support to our business partners in the AWM Finance. The candidate should be hands on in advanced programing, visualization, and Analytics algorithms. Work in a matrix organization with data scientists, data engineers and decision science managers, collaborate with cross-functional teams, recommend, and implement analytical solutions to Advise & Wealth Management business Key Responsibilities Responsible for the analysis, design, development and implementation of decision support models and data visualizations using Python, Microsoft Excel/PowerBI based tools like PowerPivot/PowerView. Develop innovative analytical solutions, like segmentation, predictive modeling, simulation modeling, and optimization. Develops and maintains infrastructure systems that connect organization's internal data sets; creates new data collection frameworks for structured and unstructured data of client organization. Interact with business partner to analyze and interpret business needs. Ensure to translate top level business goals into quantifiable analysis activities. Test and measure effectiveness of new approaches as well as process improvements. Coordinate tasks and assignments across many individuals Develop presentation decks and communicate clearly to business leaders. Analytical thought leader – participates in discovery sessions to identify opportunities to leverage analytics to automate and enhance business processes Deliver on advanced analytical requests related to targeting and/or segmentation related problems Participate in solving multiple complex problems. Mentor junior team members in solving business problems through the use of advanced analytics algorithms. Required Qualifications Engineering (B.E./ B. Tech.) graduate or Masters (Stats, Quant, Mathematics, OR, etc.) from a well-recognized institute 7 - 10 years of experience in advanced analytical skill-oriented work profiles Experience in conducting hands-on complex analytics projects using advanced statistical methods such GLM, Bayesian methods, random forest, gradient boosting, neural network, and machine learning methods etc. Proficient in Python programming, cloud computing (AWS), SQL and Data Lake experience Proven ability to present/communicate effectively complex technical materials to business leaders Strategic thinker who can provide technical solutions for very complex business problems Excellent knowledge of MS Office Suite In-depth knowledge of financial services industry with a focus in risk and ability to articulate key concepts to others Experience with Finance industry 5+ years, specifically supporting Wealth management, Insurance, Banking, and other investment instruments Experience on working with AWS Cloud framework and associated tools Experience on working in data lake environment Preferred Qualifications About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (2:00p-10:30p) India Business Unit AWMPO AWMP&S President's Office Job Family Group Data

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.

Realize your potential by joining the leading performance-driven advertising company! As a Senior Implementation Specialist on the Publisher Professional Services (Pub PS) team in our Gurugram Office , you'll play a vital role in delivering high-quality technical implementations of Taboola products for publishers around the world. You'll lead deployments of cutting-edge web technologies, ensure flawless integrations with clients, and drive process innovation across our global operations. You'll be the technical point person on cross-functional teams, solving complex challenges and shaping the way we scale. If you love problem-solving, mentoring others, and taking ownership—this role is for you. To thrive in this role, you'll need: 2+ years of experience in technical implementation, client onboarding, or solutions engineering in a SaaS or enterprise environment Proficiency in HTML, CSS, JavaScript, ReactJS, and Python, with the ability to resolve technical issues independently Proven ability to lead end-to-end implementation projects and coordinate across internal and external stakeholders Hands-on experience with querying relational databases like MySQL or Oracle Experience mentoring team members and contributing to operational and documentation best practices Bonus points if you have: Exposure to AI/automation initiatives or process improvement projects Experience supporting onboarding and training of new hires How you'll make an impact: Lead full-cycle technical implementations of Taboola products, ensuring timely and high-quality delivery Collaborate cross-functionally with Account Managers, Sales, and technical teams to ensure seamless client onboarding Act as a regional technical point of contact, handling escalations, KPIs, and stakeholder communications Troubleshoot and resolve complex technical issues with a strong sense of ownership and clear communication Drive process improvements, automation opportunities, and contribute to AI-first operational initiatives Mentor junior team members and support their onboarding, knowledge sharing, and technical growth Why Taboola? If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about: Adam Singolda, Taboola Founder and CEO says: "You can copy anything from another business but you can't copy a company's culture." Well-being: Enjoy comprehensive benefits, including health coverage, fully stocked kitchen. Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired. Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda. Ready to realize your potential? Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need. Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog. About Taboola Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale. #LI-ST1 #LI-Hybrid

We are looking for a creative and detail-oriented Video Editor to join our team. The ideal candidate will have strong skills in editing engaging, high-quality videos tailored for Instagram Reels, YouTube Shorts, and long-form YouTube content. Responsibilities: Edit raw video footage into polished, professional-quality content Create engaging cuts, transitions, and effects that align with brand style Adapt videos for different platforms (Instagram, YouTube, etc.) Add music, captions, and graphics as needed Work closely with the content team to meet deadlines and maintain quality standards Requirements: Proven experience in video editing for social media platforms Proficiency in editing software (Adobe Premiere Pro, Final Cut Pro, CapCut, or similar) Strong sense of timing, pacing, and visual storytelling Knowledge of social media trends and formats Attention to detail and ability to work independently Preferred Skills: Basic motion graphics & animation skills Understanding of YouTube & Instagram algorithms for better content reach Location: On-site Type: Full-time Salary: Negotiable If you are passionate about creating eye-catching videos that engage audiences and drive results, we’d love to hear from you! Job Types: Full-time, Permanent Pay: ₹11,072.84 - ₹27,391.50 per month Work Location: In person

Role: Data Scientist. Education: Strictly Enginering Graduate or higher Min: 3 years continuous Experience with maximum of two employer Role: collects and analyzes large datasets to uncover insights and create solutions that support organizational goals. They combine technical, analytical, and communication skills to interpret data and influence decision-making Responsibilities: Gather data from multiple sources and prepare it for analysis. Analyze large volumes of structured and unstructured data to identify trends and patterns. Develop machine learning models and predictive algorithms to solve business problems. Use statistical techniques to validate findings and ensure accuracy. Automate processes using AI tools and programming. Create clear, engaging visualizations and reports to communicate results. Work closely with different teams to apply data-driven insights. Stay updated with the latest tools, technologies, and methods in data science. Tools and Technologies: Programming languages: Python, R, SQL. Data visualization: Tableau, Power BI, matplotlib. Machine learning frameworks: TensorFlow, Scikit-learn, PyTorch. Big data platforms: Apache Hadoop, Spark. Cloud platforms: AWS, Azure, Google Cloud. Statistical tools: SAS, SPSS. Job Type: Full-time Pay: ₹45,000.00 - ₹58,000.00 per month Benefits: Provident Fund Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you available for face to face interview? Are you an immediate Joiner ? Education: Bachelor's (Required) Experience: Data science: 3 years (Required) Location: Gurgaon, Haryana (Preferred) Work Location: In person

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Job overview and responsibilities United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with data scientists and data engineers. This role will design and implement key components of the Machine Learning Platform, business use cases, and establish processes and best practices. Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United. Set up containers and Serverless platform with cloud infrastructure. You will design and develop tools and apps to enable ML automation using AWS ecosystem Build data pipelines to enable ML models for batch and real-time data. Hands on development expertise of Spark and Flink for both real time and batch applications Support large scale model training and serving pipelines in distributed and scalable environment Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies – NumPy, data science packages like sci-kit, microservices architecture Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required 2+ years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++ 2+ years of experience in machine learning, deep learning, and natural language processing 2+ years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS 2+ years of experience with Big Data technologies such as Spark, Flink and SQL programming 2+ years of experience with cloud-native DevOps, CI/CD 1+ years of experience with Generative AI/LLMs Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and experience building and deploying at least one production ML pipeline Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, Cat Boost, Deep Learning, etc Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS Code Pipeline; preferably experience with GitOps using tools such as Argo CD, Flux, or Jenkins X Experience with generative models such as GANs, VAEs, and autoregressive models Prompt engineering Ability to design and craft prompts that evoke desired responses from LLMs LLM evaluation Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity LLM debugging Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies LLM deployment Ability to deploy LLMs in production environments and ensure that they are reliable and secure Experience with LLMOps (Large Language Model Operations) to manage the end-to-end lifecycle of large language models Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English and Hindi (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree Computer Science or related STEM field

DESCRIPTION Are you interested in building high-performance, globally scalable Financial systems that support Amazon's current and future growth? Are you seeking an environment where you can drive innovation leveraging the scalability and innovation with Amazon's AWS cloud services? Do you have a passion for ensuring a positive customer experience? This is the job for you. Amazon Financial Technology Team is looking for a results-oriented, driven software development engineer, who can help us create the next generation of distributed, scalable financial systems. Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts that are typically being defined in real-time. We need someone to design and develop services that facilitate global financial transactions worth billions (USD) annually. A Software Development Engineer (SDE) at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. You can expect to design flexible and scalable solutions, and work on some of the most complex challenges in large-scale computing by utilizing your skills in data structures, algorithms, and object oriented programming. Coming to Amazon gives you the opportunity to work on a small development team in one of our many rapidly growing organizations. You will learn all about how to design, implement and test highly scalable solutions using AWS cloud platform and its many products, in challenging agile projects, working with best in class professionals. In this role you will: Deliver a Best-in-Class customer experience by continuously improving platform, code and services that enable receivables globally Build services/integration for Financial Applications Design and Develop Best integration patterns for our system. Leverage and integrate with different tools, technologies and products within Amazon to reduce operational cost and enhance customer experience Partner directly with other Software Development Engineers (SDEs), Technical Program Managers, Functional Analysts and Customers to understand features and continuously identify opportunities to build and deploy software solutions. Key job responsibilities Define high level and low level design for software solutions using the latest AWS technology in a large distributed environment. Take the lead on defining and implementing engineering best practices and using data to define and improve operational best practices. Help drive the architecture and technology choices for FinTech accounting products. Design, develop and deploy medium to large software solutions for Amazon accounting needs. Raise the bar on code quality, including security, readability, consistency, maintainability. BASIC QUALIFICATIONS 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language PREFERRED QUALIFICATIONS 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent 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.

DESCRIPTION If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast paced environment working with smart, passionate software developers, this might be the role for you. Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from checkout to shipment tracking to delivery. Our software systems include services that handle thousands or requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers worldwide, manage business rules for millions of unique products, and improve experience for millions of online shoppers. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, increasingly complex transportation network, ever expanding selection of products and growing number of shipments worldwide, we have an opportunity to build software that scales the business, leads the industry through innovation and delights millions of customers worldwide. As an SDE, you will develop a deep understanding of our business, work closely with development teams and own the architecture and end-to-end delivery of software components. BASIC QUALIFICATIONS Experience programming with at least one software programming language Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis Bachelor's degree in computer science or equivalent PREFERRED QUALIFICATIONS Experience (non-internship) in professional software development Experience working with agile development methodologies Experience taking a leading role in building complex software systems that have been successfully delivered to customers. Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy. 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. 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 Description: As an SEO Analyst at Adox Global Pvt Ltd, you will play a crucial role in optimizing our clients' digital presence to improve search engine visibility and drive organic traffic. Leveraging your experience and expertise in SEO, you will be responsible for executing strategic initiatives and analyzing campaign performance to achieve measurable results. Your duties and responsibilities will include: Keyword Research and Analysis: Conduct thorough keyword research using tools such as Google Keyword Planner, SEMrush, and Ahrefs to identify relevant keywords and phrases with high search volumes and low competition. Analyze keyword trends and user intent to inform content optimization strategies. On-Page Optimization: Optimize website content, including meta tags, headings, image alt attributes, and internal linking structures, to improve search engine crawlability and relevance. Collaborate with content creators and web developers to implement on-page SEO best practices. Off-Page Optimization: Assist in off-page optimization efforts, including link building, directory submissions, and influencer outreach, to enhance domain authority and increase backlink profile quality. Monitor backlink health and disavow toxic links as necessary. Technical SEO Audit: Conduct technical SEO audits to identify and address issues affecting website performance, including site speed, mobile responsiveness, crawl errors, and indexability. Work closely with the development team to implement technical recommendations and resolve issues promptly. Content Strategy Support: Support the development of SEO-friendly content by providing keyword recommendations, optimizing existing content, and conducting content gap analyses. Ensure content aligns with SEO objectives and addresses target audience needs. Performance Monitoring: Monitor key SEO metrics such as organic traffic, keyword rankings, click-through rates (CTR), and conversion rates using tools like Google Analytics, Google Search Console, and third-party SEO platforms. Analyze performance data to identify trends, opportunities, and areas for improvement. Competitor Analysis: Conduct competitive analysis to benchmark our clients' SEO performance against industry competitors. Identify competitor strategies, keywords, and backlink opportunities to inform our SEO strategies and tactics. Reporting and Insights: Prepare regular SEO performance reports and dashboards for clients and internal stakeholders. Communicate insights, recommendations, and actionable next steps based on data analysis and campaign results. Stay Updated: Stay abreast of industry trends, algorithm updates, and best practices in SEO. Continuously expand your knowledge and skills through self-learning, training programs, and industry certifications. Qualifications: Bachelor's degree in Marketing, Communications, Computer Science, or a related field. 2+ years of experience in SEO, preferably in an agency setting. Proficiency in SEO tools such as Google Analytics, Google Search Console, SEMrush, Ahrefs, Moz, etc. Solid understanding of search engine algorithms, ranking factors, and SEO best practices. Strong analytical skills and attention to detail. Excellent communication and collaboration skills. Ability to prioritize tasks, meet deadlines, and adapt to changing priorities in a fast-paced environment. As an SEO Analyst at Adox Global Pvt Ltd, you will have the opportunity to contribute to the success of our clients' digital marketing campaigns by implementing effective SEO strategies and delivering measurable results. If you're passionate about SEO, possess a strong analytical mindset, and thrive in a collaborative team environment, we encourage you to apply and join our dynamic team.

Role Overview: We are seeking a skilled Data Scientist to join our cutting-edge research team working on EEG and EMG signal analysis. This role offers the unique opportunity to implement state-of-the-art algorithms from research papers, develop deep learning models for neural signal processing, and contribute to groundbreaking neuroscience research. What makes this role exciting: You'll work with advanced signal processing techniques, implement algorithms from the latest research papers, and develop Machine Learning/Deep Learning models for neural recordings. Your work will directly contribute to published research and conference presentations Key Responsibilities Algorithm Implementation: Implement advanced signal processing algorithms from research papers, including spatial filtering techniques, time-frequency analysis methods, and other cutting-edge approaches Data Preprocessing & Cleaning: Handle complex EEG/EMG datasets, perform signal filtering, artefact removal, and data preparation for analysis Model Development: Build and train machine learning and deep learning networks for neural signal classification Model Training & Optimization: Conduct hyperparameter tuning, cross-validation, and model optimization for various machine learning approaches Performance Evaluation: Implement metrics, validation frameworks and statistical analysis to evaluate model performance Documentation: Maintain comprehensive documentation of methods, results, and experimental procedures MLOps Implementation: Adopt best practices of MLOps for model training, evaluation and inference capabilities. Feature Engineering: Extract and analyze statistical features from EMG signals including spectral analysis, entropy measures, and channel dominance Required Qualifications Experience: 2-3 years minimum in data science, machine learning, or signal processing roles Programming Skills: Proficiency in Python and optionally in MATLAB Deep Learning: Hands-on experience with TensorFlow, PyTorch, Keras frameworks or at least a strong experience with scikit-learn. Machine Learning: Strong foundation in supervised learning, particularly SVM and neural networks Time Series Analysis: Demonstrated experience working with time series data and signal processing techniques Implementation Skills: Excellent ability to translate research papers into working code implementations Technical Stack Python , MATLAB, TensorFlow, PyTorch, SVM ,CNN-LSTM Preferred Qualifications Time series analysis experience in any domain (finance, IoT, sensor data is also acceptable) Strong mathematical background in signal processing or machine learning theory Experience scaling ML models with large datasets Knowledge of statistical feature extraction and spectral analysis Personal Traits We Value Complete Ownership: Take full responsibility for your work, owning both successes and failures with accountability Collaborative Spirit: Genuine desire to help colleagues and contribute to the organization's success Data Enthusiasts: Someone who genuinely enjoys exploring data and finds satisfaction in uncovering insights Research Mindset: Curiosity to explore independent research directions and contribute to scientific knowledge Growth & Development This is a permanent position with exceptional growth opportunities Leadership Development: We mentor and encourage leadership qualities in every role we hire Industry Partnerships: Work with leading neuroscience labs and premier medical institutions to drive real-world impact Research Publications: Active involvement in publishing basic and applied neuroscience papers Conference Presentations: Opportunities to present research findings at scientific conferences Mentorship Opportunities: Future prospects to mentor interns and junior team members Independent Research: Encouraged and supported to pursue your own research interests You'll receive close mentorship on research methods while having the autonomy to implement and optimize solutions independently. Skills: research,learning,machine learning,deep learning,algorithms,processing,data,signal processing,signal,contribute,python,tensorflow,matlab,pytorch,keras,support vector machine (svm),cnn-lstm