7 Search Algorithms Jobs

Position Summary... What you&aposll do... About Team Walmart is looking to hire a Staff Product Manager for the Search organization to support its strong growth of 20%+ in E-Commerce over the last 3 years. Search contributes more than 50% of Walmarts online revenue and is the primary channel for customers to interact with the site and to find the things they want to buy. The individual performing the role of a Staff Product Manager in search is expected to act as a high-agency owner and influencer in the organization. It is a cross functional role where the PM has to leverage their understanding of Search algorithms, and of ecommerce business fundamentals to identify opportunities for improvement of search performance. They will need to work with cross functional stakeholders (distributed across India and US) including engineers, data scientists, and senior executives from other functional areas, such as merchandizing and business leadership to develop and execute on the product vision and roadmap for Search in a fast-paced environment. Such complex systems require special skills in Product Managers who are served well by a strong technical background in AI/ML and even stronger first-principle thinking, strong product sense. Knowledge and comfort with statistics, advanced analytics, machine learning and software development methodologies is helpful in this role. What You Will Do: Develop short and long-term product strategies and technical project roadmaps for eCommerce Search and partner with Business to support their vertical growth Drive strategic initiatives that require working across multiple teams (both BUs and Functional teams) Evaluate business cases and translate business and customer requirements into digital product roadmaps, product engineering specifications, and underlying system dependencies to deliver customer benefits and meet financial goals Build a culture of end-to-end ownership, efficient operating reviews, data driven decision-making, strong partnerships, and willingness to take controlled risks to achieve results Actively manage key business stakeholders by conducting product reviews, strategy sessions with leadership, performance assessments, and priority setting based on impact and effort Run competitive intelligence analytics and internal data assessments to uncover new opportunities and turn them into insights that align with company goals Track and run analysis of key operational search metrics and financial performance indicators and measure progress for Search team through centralized governance Implement search initiatives with engineering and data science partner, conduct and analyze results from rigorous AB testing to make launch decisions with product leadership Preferred Qualifications: Experience in product management or analytics in eCommerce, Online advertising, or marketplaces. Search, Personalization and Ads background preferred. Demonstrated track record of aligning to an overarching product vision, using data and analysis to support strategy and prioritization, and day to day product execution Strong user experience, analytics, and technical acumen Excellent interpersonal skills with an ability to work well with highly cross-functional teams Intellectually curious with a data driven mindset. Experience shipping and iterating based on data Strong communication skills in both written and verbal forms Preferred Experience: MBA or top tier Management consulting experience with a technical orientation or MS with a digital product management orientation or 6+ years of product management experience. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity expert&aposs and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone isand feelsincluded, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Bachelor of Science and 5 years' product management experience OR Master of Science and 2 years' product management experience. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2221314 Show more Show less

We are looking for an experienced AI/ML Architect to spearhead the design, development, and deployment of cutting-edge AI and machine learning systems. As the ideal candidate, you should possess a strong technical background in Python and data science libraries, profound expertise in AI and ML algorithms, and hands-on experience in crafting scalable AI solutions. This role demands a blend of technical acumen, leadership skills, and innovative thinking to enhance our AI capabilities. Your responsibilities will include identifying, cleaning, and summarizing complex datasets from various sources, developing Python/PySpark scripts for data processing and transformation, and applying advanced machine learning techniques like Bayesian methods and deep learning algorithms. You will design and fine-tune machine learning models, build efficient data pipelines, and leverage distributed databases and frameworks for large-scale data processing. In addition, you will lead the design and architecture of AI systems, with a focus on Retrieval-Augmented Generation (RAG) techniques and large language models. Your qualifications should encompass 5-7 years of total experience with 2-3 years in AI/ML, proficiency in Python and data science libraries, hands-on experience with PySpark scripting and AWS services, strong knowledge of Bayesian methods and time series forecasting, and expertise in machine learning algorithms and deep learning frameworks. You should also have experience in structured, unstructured, and semi-structured data, advanced knowledge of distributed databases, and familiarity with RAG systems and large language models for AI outputs. Strong collaboration, leadership, and mentorship skills are essential. Preferred qualifications include experience with Spark MLlib, SciPy, StatsModels, SAS, and R, a proven track record in developing RAG systems, and the ability to innovate and apply the latest AI techniques to real-world business challenges. Join our team at TechAhead, a global digital transformation company known for AI-first product design thinking and bespoke development solutions. With over 14 years of experience and partnerships with Fortune 500 companies, we are committed to driving digital innovation and delivering excellence. At TechAhead, you will be part of a dynamic team that values continuous learning, growth, and crafting tailored solutions for our clients. Together, let's shape the future of digital innovation worldwide!,

What the Candidate Will Need / Bonus Points What the Candidate Will Do ode: Writes high-quality code (i.e., reliable, readable, efficient, testable), provides quality code reviews, and creates comprehensive tests and quality documentation using software engineering principles. This includes knowledge of data structures, algorithms, programming and associated programming languages and frameworks, and major phases/activities of the software research and development life cycle (e.g., requirements, design, build, experiment, test, debug, deploy, monitor). Identifies, reports, and solves technical problems according to standards and best practices. Design: Uses software design principles and methods, knowledge of the capabilities and limitations of existing software solutions at Uber, and an understanding of own work's impact on other areas to reuse, extend, or, when needed, build effective architectures that are integrated with existing solutions and in alignment with needs and goals across areas. Learns and anticipates current and future design requirements and evaluates trade-off decisions to design systems that meet current needs and can be extended for future needs Execute: Executes work with drive and appropriate sense of urgency to deliver technical and business impact. Plans, organizes, and manages tasks, resources, and relationships to accomplish work accurately and on time. Defines and diagnoses problems and determines an appropriate solution, recommendation, or decision while logically evaluating alternatives and factors (e.g., resources, costs, tradeoffs). Accepts responsibility and accounts for own actions and work. Collaborate: Builds trusting and collaborative relationships and rapport with different types of people and teams. Respects the unique backgrounds and contributions of others. Recognizes conflict or disputes among people and situations, learns and works to understand different points of view. Resolves and aligns discrepancies across teams and organizations to accomplish team-, organization-, or Uberwide goals. Provides constructive feedback to others in a tactful and impactful manner. Be efficient: Creates and promotes efficiency and speed within Uber technology, people, and teams by leveraging and extending existing solutions when possible, and by developing solutions that balance long-term productivity with short-term needs. Identifies and addresses inefficiencies and redundancy in day-to-day work. Improves and advocates for processes and technologies that enhance the efficiency and performance of software and systems Create culture: Enhances the effective functioning of Uber by participating in and promoting activities and efforts that contribute to excellence and shape and evolve team-, organization-, and Uber-wide culture (e.g., reviewing diffs, refactoring code, participating in recruiting, hiring, and promotion activities, joining an ERG). Contributes to the broader community through participation in internally- and/or externally-focused engagements (e.g., tech talks, open source, conferences, team building) Basic Qualifications We are looking for experienced smart engineers who are passionate about the domain and the technology. Those who have track record of ownership and execution quality Bachelor's degree in Computer Science or related technical field or equivalent practical experience You have knowledge of a backend stack (some examples include: Java, Node.js, Python, Redis, Kafka, Golang or similar). Experience coding using general purpose programming language (eg. Java, Python, Go, C#) Should have experience working with and fine-tuning pre-trained machine learning models for tasks such as time series forecasting or natural language processing Preferred Qualifications Ability to learn quickly and apply at ML at scale for Fintech. We're looking for software engineers who thrive while learning new technologies and don't believe in one-size-fits-all solutions. You should be able to easily adapt to meet the needs of our massive growth and rapidly-evolving business environment. Bias toward action. You believe that speed and quality aren't mutually exclusive. You've shown good judgment about shipping as fast as possible while ensuring your products and platforms are built in a sustainable, responsible way--and you're comfortable making mistakes, provided you learn from them.

What the Candidate Will Do We are a cutting-edge payments engineering team empowered to further accelerate the incredible growth of Uber through money-movement innovations. At the core of the magical Uber experience is the seamless and frictionless payment at the end of the ride, food delivery or any Uber offering. Uber Money processes millions of payment transactions per day, 24 hours per day, 7 days a week, all around the globe. On a weekly basis, we pay out over a million driver partners in over 600 cities around the world. Needless to say, we operate at an incredible scale. Creating engineering solutions for our customers and partners is rewarding because we know we make every experience better by providing a world-class Payment Platform experience. Basic Qualifications 5+ years of Experience in Scalable architectures Knowledge in Distributed systems Bachelors degree preferably in Computer science Proficient in programming languages and principles Depth in algorithms and data structures Good communication skills Preferred Qualifications 6 years Experience in software industry working in product functionalities Good collaborative skills Can Independently drive initiatives Has bias for action Pro-active and self-driven

About the Role The U4B Platforms Org in Bangalore is building and evolving the best-in-class business systems for Uber B2B Customers, which enables experiences and tools for reliable, configurable, and intelligent business lifecycle management. The platform enables end-to-end B2B experience enabling cost-efficient business growth through acquisition, retention, and resurrection. The team is full-stack and cross-functional. There will be significant, challenging problems in the Backend, Frontend, Data and ML engineering spaces, and the team will have embedded collaborators from Product Management, Design, and Data Science. As part of the team, you will have direct responsibility for vital systems and processes. You will take ownership of key features and initiatives in crafting and building high-quality, scalable systems to make incentives reliable and efficient. Your work will directly impact the lives of Uber's partners (drivers, couriers, vehicles), riders, eaters and operations teams across the globe. What You Will Do You have knowledge of a backend stack (some examples include: Java, Node.js, Python, Redis, Kafka, Golang or similar). Ability to learn quickly on the go. We're looking for software engineers who thrive while learning new technologies and don't believe in one-size-fits-all solutions. You should be able to easily adapt to meet the needs of our massive growth and rapidly-evolving business environment. Bias toward action. You believe that speed and quality aren't mutually exclusive. You've shown good judgment about shipping as fast as possible while ensuring your products and platforms are built in a sustainable, responsible way--and you're comfortable making mistakes, provided you learn from them. Passion and energy. Because you love what you do, you bring infectious enthusiasm to all your endeavors. You always perform at your absolute best and see new challenges as an opportunity to contribute, make an impact, and grow. Unquenchable thirst for growth. You're not just looking for the next interesting challenge, but looking to push yourself to keep pace in our hyper-growth environment. What You Will Need Masters or equivalent in Computer Science, Engineering, Mathematics or related field 7+ years full-time Software Engineering work experience, in one or more of the following areas: Programming and scripting language (e.g. Python, SQL, Java/Scala) Designing end-to-end data solutions and architecture Experience with low latency backend services in Java/Go/C++ Experience working with Big Data infrastructure either on-prem or in cloud Experience working with Hive, Spark, Hadoop Preferred Qualifications Masters or equivalent in Computer Science, Engineering, Mathematics or related field 7+ years full-time Software Engineering work experience, in one or more of the following areas: Programming and scripting language (e.g. Python, SQL, Java/Scala) Designing end-to-end data solutions and architecture Experience with low latency backend services in Java/Go/C++ Experience working with Big Data infrastructure either on-prem or in cloud Experience working with Hive, Spark, Hadoop Experience with low latency backend services in Java/Go/C++ Experience working with Big Data infrastructure either on-prem or in cloud Experience working with Hive, Spark, Hadoop

Qualifications/Requirements ?2+ years of hands-on experience managing paid search campaigns from planning and execution to optimization and reporting ?Well-versed in paid search keyword research, ad copy build outs, automated bid strategy, copy, and landing page test development, as well as all other daily optimization tactics ?Strong working knowledge in keyword match type (Exact, Phrase, and Broad), Responsive Search Ads, SQR review, auction insights report, and validating recommendations tab from Google Ads UI ?Experience managing B2C and B2B acquisition campaigns and had proven success driving campaign performance efficiency ?Strong ability to monitor campaign performance based on goal/KPI, identify issues, and propose ideas for optimizations ?Ability to write performance insights, identify trends, and analyze the drivers behind those and opportunities to optimize Tool/Hard skills ?Proficient in Google Ads and Bing Ads. Use it daily in previous jobs and familiar with Google Ads Editor for bulk creation/edit and troubleshooting ?Proficient in both Excel and PPT; Well versed in pivot table, pivot chart, & conditional formatting ?Basic knowledge in tracking/floodlight tagging Soft skills ?Extremely strong attention to detail, proactive in QA his/her own work before delivery, and able to follow instructions with great accuracy ?Ability to meet deadlines and ask questions in a timely and proactive manner to prevent delays in deliverables ?Strong communication skills both in writing and verbal; willing to take feedback and take immediate action on it ?Supervisor experience preferred, to be able to coach and train junior members to ensure quality deliverable. ?Graduate in any field. ?Comfortable working for US shifts or any shifts as per business needs.

Job Description: Oracle Cloud Infrastructure (OCI) is a pioneering force in cloud technology, merging the agility of startups with the robustness of an enterprise software leader. Within OCI, the Oracle Generative AI Service team spearheads innovative solutions at the convergence of artificial intelligence and cloud infrastructure. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning technologies, aimed at addressing complex global challenges. Join us to create innovative solutions using top-notch machine learning technologies to solve global challenges. We're looking for an experienced Principal Applied Data Scientist to join our OCI Gen-AI Solutions team for strategic customers. In this role, you'll collaborate with applied scientists and product managers to design, develop, and deploy tailored Gen-AI solutions with an emphasis on Large Language Models (LLMs), Agents, MPC and Retrieval Augmented Generation (RAG) with large OpenSearch clusters. As part of the OCI Gen AI and Data Solutions for strategic customers team, you will be responsible for developing innovative Gen AI and data services for our strategic customers.As a Principal Applied Data Scientist, you'll lead the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers. Work directly with key customers and accompany them on their Gen AI journey - understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art solutions with brand new technologies in this fast-evolving area. You will configure large scale OpenSearch clusters, setting up ingestion pipelines to get the data into the OpenSearch. You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned. Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Be an enthusiastic, self-motivated, and a great collaborator. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications and experience Bachelors or master's in computer science or equivalent technical field with 10+ years of experience Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations). Demonstrated experience in designing and implementing scalable AI models and solutions for production,relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams. Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming. Practical experience with setting up and finetuning large OpenSearch Clusters. Experience in setting up data ingestion pipelines with OpenSearch. Experience with search algorithms, indexing, optimizing latency and response times. Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. Familiarity with Agents and Agent frameworks and Model Predictive Control (MPC) Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Ability and passion to mentor and develop junior machine learning engineers. Proficient in Python and shell scripting tools. Preferred Qualifications : Masters or Bachelor's in related field with 5+ years relevant experience Experience with RAG based solutions architecture. Familiarity in OpenSearch and Vector stores as a knowledge store Knowledge of LLM and experience delivering, Generative AI And Agent models are a significant plus. Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. Experience with semantic search, multi-modal search and conversational search. Experience in working on a public cloud environment, and in-depth knowledge of IaaS/PaaS industry and competitive capabilities.Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc. Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers). Experience in diagnosing, fixing, and resolving issues in AI model training and serving. Career Level - IC4