200 Information Retrieval Jobs - Page 2

Responsible for creation, maintenance, and management of Machine Readable Cataloging Records (MARC), focusing on metadata and quality, to support customers of eBooks, journals, videos, music, primary sources, and other content across the company. About You experience, education, skills, and accomplishments Bachelors Degree and/or Master's Degree in Library Science or relevant subject What will you be doing in this role? Catalogue content to create MARC or other title records (copy cataloguing) and ensure appropriate subject classification for books and/or journals and videos. Use MARC rules, cataloguing rules, Library of Congress authority files, and Dewey Decimal System to create MARC records. Import records from various sources, following the rules of automated content ingestion, to maintain the catalogue. Use validation programs, following team documentation, in the quality assurance process. Assist in answering customer questions as needed. Develop an understanding of the products as well as the customers using those products and associated records.

We are seeking engineers or applied scientists who have expertise in implementing data mining and machine learning systems to contribute to the development of an innovative online education platform that is tailored to the unique needs of each student. Your responsibilities will include: - Demonstrating a strong passion and enthusiasm for constructing scalable systems that can analyze extensive datasets and provide actionable insights. - Showcasing a proven track record of identifying connections within vast and seemingly unrelated datasets. - Displaying the ability to work with incomplete or imperfect data sets effectively. - Possessing knowledge of linear algebra and proficiency in manipulating data through matrix algorithms. - Having the capability to develop and interpret probabilistic models of intricate, multi-dimensional systems. - Demonstrating experience in quantitative analysis using Python. - Having familiarity with database technologies like SQL. - Showcasing solid programming skills in Java, C, C++, or Python. Preferred experience with the following technologies: - Collaborative filtering. - Decision trees and automatic tree generation. - Bayesian methods. - Clustering techniques including principal components analysis, k-means, etc. Desired qualifications include: - Proficiency in Hadoop or other MapReduce implementations. - Experience in semantic text mining or natural language processing. - Prior involvement in high-stakes information retrieval and statistical analysis, such as Bioinformatics or Fraud Detection. If you believe you meet these qualifications and are excited about this opportunity, please send your resume to info@zunopy.com.,

As a candidate for the 2026 Software Engineering internship at Google, you will have an opportunity to work from one of the preferred locations: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India. Minimum qualifications: - Currently pursuing a Bachelor's or Master's degree in Computer Science or a related technical field. - Proficiency in one or more general-purpose programming languages such as Java, C/C++, Python, JavaScript, or Go. - Experience working in Unix/Linux environments. - Familiarity with software design principles. Preferred qualifications: - Currently in your penultimate year of study. - Knowledge of data structures and algorithms. - Ability to contribute to projects related to mobile development, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, large software systems, or security software development. - Demonstrated involvement in tech projects and computer science-related extracurricular activities. About the job: Google's 2026 Software Engineering internship in India aims to nurture future computer scientists and software developers. The internship program consists of a software project, skills-based training, and professional development opportunities. You will collaborate with Googlers and fellow interns on a development project, enhancing your coding skills and gaining exposure to various tools and programming languages. Throughout the program, you will attend technical talks, receive guidance from a Google Engineer, and participate in social activities and networking events. The Summer internships will commence in May 2026 and run for 10-12 weeks. This internship is tailored for students pursuing a Bachelor's, Master's, or Dual degree program in Computer Science or a related field. To apply for this internship, you must submit an updated CV or resume along with an English-language transcript. As a Software Engineering Intern at Google, you will have the opportunity to engage in personal and professional development while working on computer science solutions. You will collaborate on scalable, distributed software systems and contribute to various projects with broad appeal. Responsibilities: - Research, create, and develop software applications to enhance Google's product offerings. - Contribute to projects involving natural language processing, artificial intelligence, data compression, machine learning, and search technologies. - Collaborate on scalability challenges related to handling large volumes of data. - Support an innovative team environment by working with peers, managers, and cross-functional teams to drive productivity and creativity.,

As a software engineer at Google, you will be part of a team that develops cutting-edge technologies to revolutionize how billions of users connect, explore, and engage with information and each other. The scope of our projects extends far beyond web search, requiring the handling of massive amounts of data and the exploration of innovative solutions in various domains such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. We are seeking engineers who can contribute fresh perspectives and expertise to drive our technology forward. Your role as a software engineer will involve working on crucial projects that address Google's evolving needs. You will have the opportunity to collaborate with diverse teams and switch between projects as the business environment evolves rapidly. We value versatility, leadership qualities, and a proactive attitude towards tackling new challenges across the full technology stack. At Google, user experience is a fundamental consideration in our product development process. We prioritize creating intuitive, innovative, and visually appealing products that resonate with users. Our UX teams consist of designers, researchers, content strategists, and engineers who are dedicated to delivering high-quality, user-centric experiences. By understanding user needs, behaviors, and emotions, we aim to develop insights that shape our product strategies and designs. Our collaborative approach enables us to address complex problems and craft engaging experiences that highlight the unique features of our products while adhering to Google's core principle of prioritizing user satisfaction. Responsibilities: - Design, develop, and take ownership of key software components and features throughout the entire development lifecycle, including deployment and long-term maintenance. This involves utilizing modern front-end technologies like React and Angular, as well as backend systems. - Lead and participate in design and code reviews to ensure the delivery of high-quality, scalable solutions. Address technical debt and enhance engineering practices as needed. - Assume responsibility for reliability, security, privacy, documentation, and testing strategies within your work, maintaining excellent production standards and support. - Act as a technical liaison, collaborating with internal engineering teams, UX designers, and product owners to align technical strategies and deliver new features effectively. - Identify challenges and unmet requirements by translating user insights into technical specifications to enhance the overall user experience.,

The ideal candidate for this position should have a Bachelor's degree or equivalent practical experience and a minimum of 5 years of experience in software development using one or more programming languages. Additionally, the candidate should have at least 3 years of experience in testing, maintaining, or launching software products, with 1 year of experience in software design and architecture. It is also required to have 3 years of experience in Natural Language Processing (NLP) concepts and algorithms, along with experience in designing NLP solutions. Furthermore, the candidate should possess 3 years of experience in ML infrastructure, including model deployment, model evaluation, optimization, data processing, and debugging. Preferred qualifications for this role include a Master's degree or PhD in Computer Science or a related technical field, along with 5 years of experience in data structures and algorithms. Experience in a technical leadership role for at least 1 year and a background in developing accessible technologies are also desirable. As a software engineer at Google, you will be involved in developing innovative technologies that impact billions of users worldwide. The role requires working on projects that handle information at massive scale and cover various domains such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, UI design, and mobile technologies. Google values engineers who can bring fresh perspectives and ideas to the table, demonstrate leadership qualities, and show enthusiasm for solving complex problems. Google Ads plays a crucial role in powering the open internet with cutting-edge technology that connects and adds value for users, publishers, advertisers, and Google. The team is responsible for creating advertising products across search, display, shopping, travel, video advertising, and analytics. By delivering trusted ad experiences, Google Ads helps businesses of all sizes achieve measurable results and engage with customers on a large scale. Key responsibilities for this position include writing and testing product development code, collaborating with peers and stakeholders for code reviews, contributing to documentation and educational content, triaging product issues, debugging and resolving technical problems, and designing and implementing NLP solutions leveraging ML infrastructure. In summary, the role of a software engineer at Google offers diverse opportunities to work on critical projects, collaborate with cross-functional teams, and contribute to cutting-edge technologies that drive the company's mission forward.,

Sundew is a leading digital transformation company with a 17-year legacy of excellence that helps businesses leverage data-driven insights to drive innovation and optimize operations. We are seeking a talented Data Engineer with expertise in Robotic Process Automation (RPA) and Artificial Intelligence/Machine Learning (AI/ML) to join our dynamic team. As a Data Engineer with RPA and AI/ML expertise, you will play a crucial role in designing, implementing, and maintaining data pipelines, workflows, and automation solutions. Your responsibilities will include developing and fine-tuning LLM models with expertise in RAG (Retrieval-Augmented Generation), content extraction, and familiarity with the concept of local LLMs. Additionally, you will collaborate closely with our Data Engineering team to innovate and optimize LLM models and work with cross-functional teams to integrate RPA infrastructure, enabling clients to automate existing processes. Role & Responsibilities - Develop and optimize LLM models using state-of-the-art techniques, focusing on RAG (Retrieval-Augmented Generation). - Implement content extraction methods to enhance the accuracy and relevance of generated responses. - Collaborate with cross-functional teams to identify and address LLM development and deployment challenges. - Stay updated with the latest advancements in natural language processing (NLP) and machine learning research. - Provide technical guidance and mentorship to junior team members. - Contribute to documenting and disseminating best practices in LLM development and deployment. - Implement RPA solutions to automate repetitive tasks and improve operational efficiency. - Collaborate with data scientists and business analysts to understand data requirements and translate them into technical solutions. - Monitor performance, troubleshoot issues, and optimize data workflows for scalability and reliability. - Stay up-to-date with the latest trends and technologies in data engineering, RPA, and AI/ML. Required Skill Sets - Bachelor's or higher degree in Computer Science, Engineering, or a related field. - Proven experience in developing and fine-tuning LLM models, preferably with a focus on RAG. - Hands-on experience with RPA tools such as UiPath, Automation Anywhere, Blue Prism, Power Automate. - Strong proficiency in Python programming and familiarity with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn. - Solid understanding of natural language processing (NLP) fundamentals and machine learning principles. - Experience with content extraction techniques such as Named Entity Recognition (NER), text summarization, and information retrieval. - Familiarity with the concept of local LLMs and their applications in specific domains or languages. - Excellent problem-solving skills and the ability to work effectively in a collaborative team environment. - Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Prior working knowledge in implementing RPA and AI/ML Methods. - Certification in RPA or AI/ML technologies. - Contributions to open-source projects related to natural language processing or machine learning. - Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka). How To Apply Interested candidates should submit their resume and a cover letter detailing their relevant experience and explaining how they meet the specified requirements. Sundew is an equal opportunity employer. We encourage candidates of all backgrounds to apply.,

Career Category Engineering Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: The role is responsible for developing and maintaining the data architecture of the Enterprise Data Fabric. Data Architecture includes the activities required for data flow design, data modeling, physical data design, query performance optimization. The Data Modeler position is responsible for developing business information models by studying the business, our data, and the industry. This role involves creating data models to realize a connected data ecosystem that empowers consumers. The Data Modeler drives cross-functional data interoperability, enables efficient decision-making, and supports AI usage of Foundational Data. Roles & Responsibilities: Develop and maintain conceptual logical, and physical data models and to support business needs Contribute to and Enforce data standards, governance policies, and best practices Design and manage metadata structures to enhance information retrieval and usability Maintain comprehensive documentation of the architecture, including principles, standards, and models Evaluate and recommend technologies and tools that best fit the solution requirements Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Basic Qualifications and Experience: Doctorate / Master s / Bachelor s degree with 8-12 years of experience in Computer Science, IT or related field Functional Skills: Must-Have Skills Data Modeling: Proficiency in creating conceptual, logical, and physical data models to represent information structures. Ability to interview and communicate with business Subject Matter experts to develop data models that are useful for their analysis needs. Metadata Management : Knowledge of metadata standards, taxonomies, and ontologies to ensure data consistency and quality. Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing Implementing Data testing and data quality strategies. Good-to-Have Skills: Experience with Graph technologies such as Stardog, Allegrograph, Marklogic Professional Certifications (please mention if the certification is preferred or mandatory for the role): Certifications in Databricks are desired Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. .

Career Category Engineering Job Description [Role Name : IS Architecture] Job Posting Title: Data Architect Workday Job Profile : Principal IS Architect Department Name: Digital, Technology Innovation Role GCF: 06A ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: The role is responsible for developing and maintaining the data architecture of the Enterprise Data Fabric. Data Architecture includes the activities required for data flow design, data modeling, physical data design, query performance optimization. The Data Architect is a senior-level position responsible for developing business information models by studying the business, our data, and the industry. This role involves creating data models to realize a connected data ecosystem that empowers consumers. The Data Architect drives cross-functional data interoperability, enables efficient decision-making, and supports AI usage of Foundational Data. This role will manage a team of Data Modelers. Roles Responsibilities: Provide oversight to data modeling team members. Develop and maintain conceptual logical, and physical data models and to support business needs Establish and enforce data standards, governance policies, and best practices Design and manage metadata structures to enhance information retrieval and usability Maintain comprehensive documentation of the architecture, including principles, standards, and models Evaluate and recommend technologies and tools that best fit the solution requirements Evaluate emerging technologies and assess their potential impact. Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Basic Qualifications and Experience: [GCF Level 6A] Doctorate Degree and 8 years of experience in Computer Science, IT or related field OR Master s degree with 12 - 15 years of experience in Computer Science, IT or related field OR Bachelor s degree with 14 - 17 years of experience in Computer Science, IT or related field Functional Skills: Must-Have Skills : Data Modeling: Expert in creating conceptual, logical, and physical data models to represent information structures. Ability to interview and communicate with business Subject Matter experts to develop data models that are useful for their analysis needs. Metadata Management : Knowledge of metadata standards, taxonomies, and ontologies to ensure data consistency and quality. Information Governance: Familiarity with policies and procedures for managing information assets, including security, privacy, and compliance. Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing Good-to-Have Skills: Experience with Graph technologies such as Stardog, Allegrograph, Marklogic Professional Certifications Certifications in Databricks are desired Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

Career Category Engineering Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: The role is responsible for developing and maintaining the data architecture of the Enterprise Data Fabric. Data Architecture includes the activities required for data flow design, data modeling, physical data design, query performance optimization. The Data Modeler position is responsible for developing business information models by studying the business, our data, and the industry. This role involves creating data models to realize a connected data ecosystem that empowers consumers. The Data Modeler drives cross-functional data interoperability, enables efficient decision-making, and supports AI usage of Foundational Data. Roles & Responsibilities: Develop and maintain conceptual logical, and physical data models and to support business needs Contribute to and Enforce data standards, governance policies, and best practices Design and manage metadata structures to enhance information retrieval and usability Maintain comprehensive documentation of the architecture, including principles, standards, and models Evaluate and recommend technologies and tools that best fit the solution requirements Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Basic Qualifications and Experience: Doctorate / Master s / Bachelor s degree with 8-12 years of experience in Computer Science, IT or related field Functional Skills: Must-Have Skills Data Modeling: Proficiency in creating conceptual, logical, and physical data models to represent information structures. Ability to interview and communicate with business Subject Matter experts to develop data models that are useful for their analysis needs. Metadata Management : Knowledge of metadata standards, taxonomies, and ontologies to ensure data consistency and quality. Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing Implementing Data testing and data quality strategies. Good-to-Have Skills: Experience with Graph technologies such as Stardog, Allegrograph, Marklogic Professional Certifications (please mention if the certification is preferred or mandatory for the role): Certifications in Databricks are desired Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. EQUAL OPPORTUNITY STATEMENT .

Summary of the Role: As a Research Engineer, AI at TR, you will be responsible for building AI systems. We are looking for people with solid engineering skills, system engineering and a focus on outcome-driven work ethics. About You: You are a great fit for this role, if you Have strong programming skills in Python Have experience building Agentic Systems Are excited by research and development in the space of Agentic Systems Have prior experience building for Content Have experience building high-performance implementation of AI/ML based solutions About the Role Explores emerging technology and how it can be applied to solve complex, non-trivial problems Responsible for whole components or subsystems including the design and development May direct the efforts of others during design and implementation Implement algorithms and develop systems for information retrieval, machine learning, information extraction, text categorization, text mining, or related areas in the context of large online delivery environments. Create processing pipelines Extract and transforming data Design and Implement end to end AI based solutions, following standard industry practices for software development lifecycle Work with research scientists to Implement methodologies to evaluate model performance Work with other software teams to help Design required integration with other IT systems for the end-to-end ML solutions Integrating and testing research code Building control logic and workflows that realize the end to end AI-based solution Testing and packaging solutions for delivery What s in it For You Hybrid Work Model: We ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on thomsonreuters.com.

We are looking for highly accomplished and motivated individuals with a strong academic background and a proven dedication to excellence in teaching, research, and institutional service. This position is open to candidates specializing in various fields of Computer Science, such as Artificial Intelligence and Machine Learning, Theoretical Computer Science, Computer Systems, Databases, Computer Graphics, Software Engineering, Cybersecurity, High-Performance Computing, Human-Computer Interaction, and Algorithms. As a member of our team, your responsibilities will include developing and delivering engaging and challenging courses at both undergraduate (B.Tech.) and postgraduate levels (M.Tech., M.S. (Research)). You will be expected to use innovative teaching methods, including online resources and interactive sessions tailored to the Indian educational context. Additionally, you will mentor and supervise student projects and theses, contribute to the enhancement of the computer science curriculum, and actively engage in ongoing curriculum development. In terms of research, you will be required to conduct and publish high-quality research in your specialized area at renowned international conferences and journals. It is essential that you present your research findings at prestigious international conferences and workshops, seek and obtain research grants from national and international funding agencies, and guide doctoral students through their dissertation process. Your service obligations will involve active participation in departmental committees, seminars, workshops, and colloquia to enrich the intellectual environment of the department. You will also be expected to engage with the broader academic and research community in India and internationally, as well as contribute to the governance of IIT Delhi by participating in institute-level committees and initiatives. Moreover, you should stay updated on the latest research trends and technological advancements in computer science through continuous learning and professional development. Collaboration with other faculty members within and outside the department, as well as undertaking additional academic and administrative duties as assigned by the Head of the Department or the Director, are also integral parts of this role.,

As a software engineer at Google, you will have the opportunity to work on developing next-generation technologies that impact billions of users worldwide. Your responsibilities will include developing software in C++, working with data structures and algorithms, and contributing to large-scale infrastructure projects. You should have a Bachelor's degree or equivalent practical experience, along with at least 2 years of experience in software development using C++ and data structures or algorithms. A Master's degree or PhD in Computer Science or related technical fields is preferred, along with experience in building large-scale infrastructure, distributed systems, or networks. Experience with accessible technologies is also desirable. At Google, software engineers are encouraged to bring fresh ideas from various technical areas such as information retrieval, distributed computing, system design, networking, security, AI, UI design, and mobile development. You will be working on critical projects that cater to Google's evolving needs, with opportunities to switch teams and projects. The Technical Infrastructure team at Google plays a crucial role in maintaining and developing the platforms that power Google's product portfolio. As an engineer, you will be involved in writing product development code, participating in design reviews, reviewing code by peers, and contributing to documentation. You will also be responsible for triaging product issues and resolving them to ensure optimal performance. Join Google Cloud and be a part of an organization that accelerates digital transformation for businesses worldwide. With a focus on cutting-edge technology and enterprise-grade solutions, Google Cloud is committed to providing the best infrastructure and industry solutions to its customers. As a software engineer, you will have the opportunity to work on challenging problems and contribute to the growth and success of Google Cloud. If you are a versatile engineer with leadership qualities and a passion for pushing technology forward, Google is looking for individuals like you to join its dynamic team. Take on new challenges across the full-stack and be a part of a fast-paced environment where innovation and creativity are valued.,

As a Data Science Team Lead at our organization, you will be responsible for leading a team of data scientists, planning data projects, building analytic systems, and managing a team of data scientists and machine learning engineers. Your role will also involve participating in pre-sales activities and developing proposals. With your strong expertise in machine learning, deep learning, NLP, data mining, and information retrieval, you will design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data, creating reports, aligning data projects with organizational goals, understanding business problems, and designing end-to-end analytics use cases. Additionally, you will develop complex models and algorithms to drive innovation throughout the organization, conduct advanced statistical analysis to provide actionable insights, collaborate with model developers to implement scalable solutions, and provide thought leadership by researching best practices and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models, Classification models, and Unsupervised models, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, and Markov, real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large datasets, simulation/optimization, and distributed computing tools, excellent written and verbal communication skills, a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced startup-like environment, and an additional advantage of experience in semi, unstructured databases. Optional qualifications include programming skills in languages like C, C++, Java, or .Net.,

You are a strategic thinker passionate about driving solutions in Data Annotation and Validation. You have found the right team. As a Data Analyst within our Asset Management Data Science team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment. Job Responsibilities Work on data labeling tools and annotate data for machine learning models. Sift through structured and unstructured data; identify the right content and annotate with the right label. Develop comprehensive test plans and strategies for data science projects, including data validation, model testing, and performance evaluation. Collaborate with stakeholders, including data scientists, data engineers, and product managers. Conduct thorough data validation and verification processes to ensure data accuracy and consistency. Design and execute test cases for models, ensuring they meet performance and accuracy standards. Validate model outputs and conduct regression testing to ensure consistent results. Utilize tools like Snorkel, Datasaur, and Apptek for model performance monitoring, data labeling, and speech annotation. Develop and maintain automated testing scripts and tools to streamline the QA process. Implement continuous integration and continuous deployment (CI/CD) practices for data science projects. Transcribe verbatim audio recordings, single and multi-speaker of varying dialects and accents, and identify relevant keywords and sentiment labels. Build a thorough understanding of data annotation and labeling conventions and develop documentation/guidelines for stakeholders and business partners Required qualifications, capabilities, and skills At least 5 years of hands-on experience in data collection, analysis, or research. Proven experience in data quality assurance, data management, or a similar role. Experience in Python programming. Proficiency in data querying and validation using SQL, with experience in Snowflake . Experience in constructing dashboards to effectively visualize and communicate data insights. Experience with data annotation, labeling, entity disambiguation, and data enrichment. Familiarity with industry-standard annotation and labeling methods and tools like Label Studio, Snorkel, Datasaur, and Apptek. Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval. Creative and disruptive, loves embracing the challenge of rigorous testing to uncover vulnerabilities and enhance system robustness. Understanding of data governance principles and practices. Preferred qualifications, capabilities, and skills Strong financial knowledge is preferred. Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval. Strong financial knowledge is preferred. You are a strategic thinker passionate about driving solutions in Data Annotation and Validation. You have found the right team. As a Data Analyst within our Asset Management Data Science team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment. Job Responsibilities Work on data labeling tools and annotate data for machine learning models. Sift through structured and unstructured data; identify the right content and annotate with the right label. Develop comprehensive test plans and strategies for data science projects, including data validation, model testing, and performance evaluation. Collaborate with stakeholders, including data scientists, data engineers, and product managers. Conduct thorough data validation and verification processes to ensure data accuracy and consistency. Design and execute test cases for models, ensuring they meet performance and accuracy standards. Validate model outputs and conduct regression testing to ensure consistent results. Utilize tools like Snorkel, Datasaur, and Apptek for model performance monitoring, data labeling, and speech annotation. Develop and maintain automated testing scripts and tools to streamline the QA process. Implement continuous integration and continuous deployment (CI/CD) practices for data science projects. Transcribe verbatim audio recordings, single and multi-speaker of varying dialects and accents, and identify relevant keywords and sentiment labels. Build a thorough understanding of data annotation and labeling conventions and develop documentation/guidelines for stakeholders and business partners Required qualifications, capabilities, and skills At least 5 years of hands-on experience in data collection, analysis, or research. Proven experience in data quality assurance, data management, or a similar role. Experience in Python programming. Proficiency in data querying and validation using SQL, with experience in Snowflake . Experience in constructing dashboards to effectively visualize and communicate data insights. Experience with data annotation, labeling, entity disambiguation, and data enrichment. Familiarity with industry-standard annotation and labeling methods and tools like Label Studio, Snorkel, Datasaur, and Apptek. Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval. Creative and disruptive, loves embracing the challenge of rigorous testing to uncover vulnerabilities and enhance system robustness. Understanding of data governance principles and practices. Preferred qualifications, capabilities, and skills Strong financial knowledge is preferred. Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval. Strong financial knowledge is preferred.

About this role : In Gartner s Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented associate data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you ll do : Here is a sample of some initiatives that our associate data scientists work on Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. Using NLP models and advanced Generative AI techniques to derive actionable insights from unstructured text data, such as call transcripts and emails. Evaluating the performance of the models, continuously optimizing them for better accuracy and relevance Building various recommendation tools like client interest predictor and personalized content recommenders to drive higher client value delivery Develop customer churn prediction models that proactively identify at-risk clients, leverage statistical and machine learning techniques to extract actionable insights from client retention data. Build tools to process structured and unstructured data Engineering features and signals to train ML model from diverse data collection Collaborate with cross-functional teams to integrate data science solutions into existing systems and user workflows, ensuring seamless data accessibility and usability. What you ll need : BS/MS/PhD in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) 1+ years experience in data science methodologies as applied to live initiatives or software development 1+ years of experience in python coding and statistical analysis Working experience in several of the following: Prompt Engineering and working with LLMs Machine Learning and statistical techniques Data mining and recommendation systems Natural Language Processing and Information Retrieval Handling large volumes of data User behavior modeling What we offer : A collaborative, positive culture. You ll work with people who are as enthusiastic, smart and driven as you are. You ll be managed by the best too. Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization.

Position Summary... Walmart is a multi-national people led tech powered omnichannel retailer with over 2.2M associates. Enterprise Business Services is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, Associate Digital Experience. Our Team is looking for a strong Senior Software Engineer who will help us build next generation Walmart suite of products and platform by designing, coding, building and deploying highly scalable and robust cloud based intelligent solutions. This team would be building a cloud-based platform to cater to the associate requirements and benefits for internal stake holders. As a part of Walmart Global Tech in India that works on building solutions various business functions for multiple Walmart markets, your design and solution will have a significant impact on day-to-day running of Walmart. You will be challenged with unparalleled complex business problems that spans across multiple countries, large number of users and data. What youll do... About Team: Walmart s Enterprise Business Services (EBS) is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is EBS. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. What youll do: We are looking for a Senior Software Engineer who has the passion to develop AI driven intelligent products for the Corporate Affairs domain, with the ability to influence and collaborate with partner teams, data scientists, ML engineers, product managers and other engineers in the team. A successful candidate will have an established hands-on data science, AI, ML experience in driving technical products, Full stack developer, and a passion for great customer-centric products. Design, architect, build AI/ML models, AI Agents and deploy, operate, optimize the solutions Work on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic Frameworks like Pydantic Lead development of end-to-end system architecture for GenAI/AI/ML and data intensive applications Design, Develop and deploy Full stack based applications. Develop and deploy production-grade real-time/batch machine learning services Work with product managers to design user journeys, feedback loop and analyze user telemetry Identify or propose AI/ML use-cases to business teams to improve business processes and develop quick MVPs/ POCs to help stakeholders make better decisions End to end ownership of product using technologies such as Java , Node JS, React Js Uphold and enforce rigorous standards, governance, and best practices, ensuring strict compliance with model and data governance standards. Adhere strictly to Walmart s policies, procedures, mission, values, standards of ethics, and integrity. Innovation and Research: Stay at the forefront of technological advancements, conducting research to identify emerging tools and methodologies. Collaborative Communication: Communicate complex technical concepts effectively to both technical and non-technical stakeholders, promoting a culture of open communication and collaboration. What youll bring: bachelors/masters degree in computer science, information technology, engineering, or related area Minimum 7 years of experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric Fullstack/GenAI /AI /ML products and applications Good understanding of Data Structures Hands on experience in systems design, algorithms, and distributed systems. Industry level experience in developing production-grade AI/ML system development with major technology companies or AI-native start-ups. Experience at writing high-performing production-quality code in Python Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS Experience working in Agile Methodology Experience using CI/CD, tools for logging and metrics A continuous drive to explore, improve, enhance, automate and optimize systems and tools. Strong computer science fundamentals in data structures and algorithms Exposure to information retrieval, statistics, and machine learning. Excellent oral and written communication skills. Good analytical and problem-solving skills Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 3years experience in software engineering or related area at a technology, retail, or data-driven company. Option 2: 5 years experience in software engineering or related area at a technology, retail, or data-driven company. Preferred Qualifications... Certification in Security+, GISF, CISSP, CCSP, or GSEC, Master s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 1 year s experience leading information security or cybersecurity projects Information Technology - CISCO Certification - Certification

As a software engineer at Google Cloud, you will play a crucial role in developing cutting-edge technologies that revolutionize how billions of users connect, explore, and interact with information. We are seeking individuals with a Bachelor's degree or equivalent practical experience, along with a minimum of 8 years of software development experience, including leading software projects and creating large-scale web applications. In this role, you will have the opportunity to work on a diverse range of projects spanning various domains such as information retrieval, distributed computing, system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. You will be tasked with working on projects critical to Google Cloud's success, with the flexibility to transition between teams and projects as the business continues to evolve. A successful candidate will demonstrate proficiency in two or more general-purpose programming languages, including front-end and back-end languages. Additionally, experience with cloud databases, both Relational Database Management Systems (RDBMS) and NoSQL, and the ability to evaluate trade-offs between them will be advantageous. Collaborative skills are essential, as you will be working closely with UX designers, researchers, product managers, and other engineering teams to enhance user experiences and drive product innovation. Responsibilities of this role include identifying and implementing improvements to a shared codebase, designing and launching features with high product and technical quality, developing large-scale user-facing applications, and collaborating with cross-functional teams to steer product direction. Sharing knowledge with teammates to enhance collective effectiveness is also a key aspect of this position. Join us at Google Cloud to accelerate digital transformation for organizations worldwide, leveraging cutting-edge technology and tools to drive sustainable development. Take on new challenges, demonstrate leadership qualities, and contribute to pushing technology forward across the full stack. Be empowered to anticipate customer needs, take ownership, and drive innovation in a fast-paced, dynamic environment.,

As a Software Engineer III specializing in Mobile, Android development at Google, you will play a vital role in developing the next-generation technologies that impact billions of users worldwide. Your responsibilities will involve writing code for product or system development, reviewing code from fellow engineers to ensure best practices, contributing to documentation and educational content, and participating in design reviews to select technologies. You will also be involved in debugging and resolving product or system issues to maintain hardware, network, and service quality. To qualify for this position, you should have a Bachelor's degree or equivalent practical experience along with at least 2 years of software development experience in one or more programming languages. A Master's degree or PhD in Computer Science or related technical fields is preferred, along with 2 years of experience in Android application development, data structures, algorithms, and performance analysis tools. Experience in developing accessible technologies and proficiency in code and system health are also desirable qualifications. As part of the Android team at Google, you will contribute to an open-source mobile operating system that powers over 3 billion devices globally. The Android platform aims to make computing accessible to everyone, enabling connectivity, productivity, economic opportunity, and more. Your role will involve working on critical projects, managing project priorities, deadlines, and deliverables, and collaborating with diverse teams to drive innovation across the technology stack. Google values engineers who bring fresh ideas and are adaptable to new challenges. If you are enthusiastic about pushing technology forward, displaying leadership qualities, and embracing a fast-paced work environment, this role offers you the opportunity to make a significant impact in shaping the future of computing.,

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that revolutionize how billions of users connect, explore, and engage with information globally. The projects you undertake will have a significant impact on advancing Google's capabilities beyond traditional web search, requiring expertise in various domains such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. Your responsibilities will involve writing and testing code for product or system development, as well as participating in design reviews to evaluate different technologies alongside your peers and stakeholders. You will also be expected to review code authored by fellow developers, ensuring adherence to best practices and providing constructive feedback for improvement. Moreover, you will contribute to enhancing existing documentation and educational materials, tailoring the content to reflect updates in products or programs based on user feedback. In the event of product or system issues, you will be responsible for triaging, debugging, and resolving them by analyzing their sources and assessing the impact on hardware, network, or service operations. Ideal candidates for this role should hold a Bachelor's degree or its equivalent, possess at least 5 years of experience in software development across various programming languages, and have 3 years of experience in testing, maintaining, or launching software products. Additionally, candidates should demonstrate proficiency in software design and architecture, with a minimum of 1 year of relevant experience. Preferred qualifications include a Master's degree or PhD in Computer Science or a related technical field, along with 5 years of experience in data structures and algorithms. Experience in a technical leadership role, developing accessible technologies, working with the Search or KE stack, and building ML models will be advantageous. Joining the Google Search team presents an exciting opportunity to redefine the search experience for users worldwide. By tackling complex engineering challenges and expanding infrastructure while prioritizing accessibility and usability, you will contribute to delivering a universally beneficial search platform relied upon by billions. Your role will involve continuous learning, adaptability, and leadership in solving diverse problems across the full technology stack, driving innovation and progress within the organization.,

What youll do Docusign is looking for an amazing Lead Software Engineer to join our Search platform team. This position will be part of a team working on an architectural shift that will allow us to scale to meet the next 10x of growth. We need back end engineers to build next generation software and services that make up the agreement cloud and be able to work with Product Managers to build and ship customer scenarios that are used by 100s of enterprises. This position will demand critical thinking skills, ability to quickly understand existing systems and the ability to work in agile, fast paced environments. The ability to take smart and educated risks is essential to the success of this position. This position is an individual contributor role reporting to the Senior Manager, Software Engineering - AI Platform. Responsibility Solve problems in scale and build fault tolerant systems Develop testable, high-quality, and ship-ready code with ample test coverage Work with Product Management and other developers to understand and translate engineering requirements into design requirements and provide estimates Work as part of a cross-site development team to drive design, implementation, testing and development and release of products Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a positions job designation depending on business needs and as permitted by local law. What you bring Basic 12+ years of related experience with a Bachelor s degree; or a Master s degree; or equivalent experience 5+ years of development experience in Search, information retrieval, or recommendation systems Experience building/consuming RESTful and gRPC based web-services Experience working with C#, .Net Core, SQL Database and Designing Large scale distributed systems Experience with cloud deployment technologies, such as Kubernetes or Docker containers Experience developing software solutions using object-oriented methodologies and design patterns Preferred Experience with Lucene or Elastic Search technologies Experience with microservice architecture Experience shipping highly available, scalable service on Azure Experience with the entire software development lifecycle, including version control (git) build process, testing, and code release Ability to work in a dynamic, fast-moving environment Agile and Test-driven development methodologies Ability and desire to move across technology stacks Passion for working on a highly available site Passion to learn new software technologies Open minded, forward thinking, and passionate about great software Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com . If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-VP3 ","qualifications":" Basic 12+ years of related experience with a Bachelor s degree; or a Master s degree; or equivalent experience 5+ years of development experience in Search, information retrieval, or recommendation systems Experience building/consuming RESTful and gRPC based web-services Experience working with C#, .Net Core, SQL Database and Designing Large scale distributed systems Experience with cloud deployment technologies, such as Kubernetes or Docker containers Experience developing software solutions using object-oriented methodologies and design patterns Preferred Experience with Lucene or Elastic Search technologies Experience with microservice architecture Experience shipping highly available, scalable service on Azure Experience with the entire software development lifecycle, including version control (git) build process, testing, and code release Ability to work in a dynamic, fast-moving environment Agile and Test-driven development methodologies Ability and desire to move across technology stacks Passion for working on a highly available site Passion to learn new software technologies Open minded, forward thinking, and passionate about great software ","responsibilities":" Docusign is looking for an amazing Lead Software Engineer to join our Search platform team. This position will be part of a team working on an architectural shift that will allow us to scale to meet the next 10x of growth. We need back end engineers to build next generation software and services that make up the agreement cloud and be able to work with Product Managers to build and ship customer scenarios that are used by 100s of enterprises. This position will demand critical thinking skills, ability to quickly understand existing systems and the ability to work in agile, fast paced environments. The ability to take smart and educated risks is essential to the success of this position. This position is an individual contributor role reporting to the Senior Manager, Software Engineering - AI Platform. Responsibility Solve problems in scale and build fault tolerant systems Develop testable, high-quality, and ship-ready code with ample test coverage Work with Product Management and other developers to understand and translate engineering requirements into design requirements and provide estimates Work as part of a cross-site development team to drive design, implementation, testing and development and release of products

At Apple, phenomenal ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Applied Machine Learning group is in search of a driven and results-oriented individual to help push the needle of what ML and AI can be used for, while researching new frontiers to raise the bar higher. In this role, as part of the Applied Machine Learning team, you will be responsible for conceptualizing, designing, implementing, and running cutting-edge solutions. You will leverage best-suited ML, AI, and NLP techniques and contribute to building reusable platforms. The team has a broad impact, providing exposure to cross-functional projects with challenging use cases where modern technologies can solve real-world problems. We are seeking someone with a proven track record in crafting and developing high-quality enterprise software solutions. This position requires a hands-on individual who is passionate about problem-solving, able to think creatively about solutions, and lead by example when implementing them. The ideal candidate should be self-starting, upbeat, with excellent written and communication skills, a hardworking collaborator, unafraid to question assumptions, and willing to take initiative. Minimum Qualifications: - Bachelor's in Computer Science or equivalent experience - 7+ years of experience in building and managing big-data platforms, with programming experience in Java - Working experience with search and information retrieval tools such as Lucene, Solr, Elasticsearch, Milvus, Vespa Preferred Qualifications: - Experience scaling distributed ML and AI systems to handle millions of concurrent requests - Experience with ML applications in cross-domain contexts - Experience with public cloud platforms like AWS/GCP - Good understanding of AI/ML stack including GPUs, MLFlow, LLM models - Understanding of data modeling, data warehousing, and ETL concepts - Experience in creating frameworks to deploy platforms in AWS/Azure/GCP - Ability to lead and mentor junior team members, provide technical guidance, and collaborate effectively with multi-functional teams - Commitment to staying updated with the latest advancements in machine learning and data science, and willingness to learn new tools and technologies as needed If you meet these qualifications and are excited about the opportunity to contribute to cutting-edge machine learning projects at Apple, we would love to hear from you. Please submit your CV for consideration.,

Were looking for a Big Data Engineer who can find creative solutions to tough problems. As a Big Data Engineer, youll create and manage our data infrastructure and tools, including collecting, storing, processing and analyzing our data and data systems. You know how to work quickly and accurately, using the best solutions to analyze mass data sets, and you know how to get results. Youll also make this data easily accessible across the company and usable in multiple departments. Skillset Required Bachelors Degree or more in Computer Science or a related field. A solid track record of data management showing your flawless execution and attention to detail. Strong knowledge of and experience with statistics. Programming experience, ideally in Python, Spark, Kafka or Java, and a willingness to learn new programming languages to meet goals and objectives. Experience in C, Perl, Javascript or other programming languages is a plus. Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks. Experience in MapReduce is a plus. Deep knowledge of data mining, machine learning, natural language processing, or information retrieval. Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources. Experience with machine learning toolkits including, H2O, SparkML or Mahout A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done. Experience in production support and troubleshooting. You find satisfaction in a job well done and thrive on solving head-scratching problems.

As a software engineer at Google, you will have the opportunity to work from preferred locations such as Bengaluru, Karnataka, India; Pune, Maharashtra, India; or Hyderabad, Telangana, India. You should hold a Bachelor's degree or equivalent practical experience along with 5 years of software development experience in one or more programming languages. Additionally, you should have 3 years of experience in testing, maintaining, or launching software products, and at least 1 year of experience in software design and architecture. Preferred qualifications include 5 years of experience with data structures/algorithms, 1 year of experience in a technical leadership role, and experience in developing accessible technologies. As part of Google's software engineering team, you will be involved in developing innovative technologies that impact billions of users worldwide. The role requires expertise in various areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, UI design, and mobile technologies. You will have the opportunity to work on critical projects that align with Google's needs, with the flexibility to switch between teams and projects as the business grows. This role calls for versatility, leadership qualities, and an eagerness to solve new problems across the full-stack. Your responsibilities will include managing project priorities, deadlines, and deliverables, as well as designing, developing, testing, deploying, maintaining, and enhancing software solutions. You will also participate in design reviews, review code developed by peers, and build large-scale data processing pipelines with quality and reliability checks. Additionally, you will be responsible for proper monitoring of data pipelines and ensuring access, privacy, and compliance are prioritized in all operations. Join the ML, Systems, & Cloud AI (MSCA) organization at Google, where you will contribute to designing, implementing, and managing hardware, software, machine learning, and systems infrastructure for Google services and Google Cloud. Your work will impact Googlers, Cloud customers, and billions of people worldwide who use Google services. The organization prioritizes security, efficiency, and reliability in shaping the future of hyperscale computing, from developing TPUs to running a global network. If you are passionate about technology and eager to make a global impact, this role offers the opportunity to work on cutting-edge projects and drive innovation in the tech industry.,

As a Software Engineering Manager at Google, you will need a Bachelor's degree or equivalent practical experience, along with 5 years of software development experience in programming languages such as Python, C, C++, Java, JavaScript. Additionally, you should have 3 years of experience in a technical leadership role, overseeing strategic projects, and 2 years of experience in people management or team leadership. Ideal candidates will possess a Master's degree or PhD in Computer Science or a related technical field, along with 3 years of experience working in a complex, matrixed organization. The role of a Software Engineering Manager at Google extends far beyond traditional search functions. You will be required to provide technical leadership on major projects and manage a team of engineers. Your responsibilities will include optimizing your own code as well as ensuring that engineers are capable of doing the same. In this role, you will manage project goals, contribute to product strategy, and foster the development of your team across various technical domains. Software Engineering teams at Google are involved in diverse areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, system design, networking, security, data compression, and user interface design. As a manager, you will play a crucial role in guiding and supporting these teams to operate at scale and speed. At Corp Eng, we focus on building cutting-edge business solutions that enhance Google's overall user experience. As part of Google's IT organization, we deliver end-to-end solutions to empower Googlers in creating innovative products and services. Our mission is to provide the right tools, platforms, and experiences that drive a more helpful Google for everyone. Key Responsibilities: - Set and communicate team priorities in alignment with the organization's goals. - Establish clear expectations for individuals based on their roles and levels. - Develop a mid-term technical vision and roadmap for your team(s) to meet future requirements. - Design, guide, and review system designs within the broader scope. - Review code developed by engineers and provide constructive feedback to ensure best practices are followed. As a Software Engineering Manager at Google, you will play a pivotal role in shaping the technical direction of projects, fostering team development, and driving innovation within a dynamic and collaborative environment.,

As a software engineer at Google, you will be part of a team developing cutting-edge technologies that revolutionize how billions of users engage with information and each other. The scope of our work extends beyond web search, requiring us to handle vast amounts of data and explore various fields such as information retrieval, distributed computing, system design, networking, security, AI, NLP, UI design, and mobile technologies. We are seeking individuals who can contribute fresh perspectives and ideas from diverse backgrounds to collaborate on projects crucial to Google's growth. The role involves being a technical lead for a team of iOS developers dedicated to enhancing the Discover iOS client's reliability, speed, efficiency, and scalability. You will be responsible for ensuring a user-centric experience that aligns with our organizational goals. Leveraging your extensive experience in iOS development, you will guide both short-term and long-term investments in the client. Collaborating with Product Management and User Experience teams, you will help define the engineering roadmap to support the product strategy. Your responsibilities will include designing and implementing new features, managing projects from prototyping to productionization, and overseeing the launch process. As part of the Discover Surfaces organization, you will play a key role in delivering a seamless and engaging Discover experience for users across various mobile and desktop platforms. Additionally, you will have the opportunity to contribute to Google Search, shaping the future of information discovery on a global scale.,