200 Information Retrieval Jobs - Page 8

Amazon s Selection Monitoring builds software to improve customer experience by : (1) Growing number of customer relevant brands and products on Amazon, and (2) enriching product and brand information in Amazon catalog. We build state-of-the-art information retrieval infrastructure, extracting structured-data from unstructured-content, automatic item classification, storage systems to hold the massive catalog and distributed systems of cloud-scale. We apply parallel processing, Generative AI solutions, and machine learning algorithms to evaluate millions of products every day and to identify and prioritize new additions to Amazon s selection efficiently. If you are customer obsessed, driven, tenacious and analytical, you will have fun solving our business problems of unprecedented scale. You will develop deep technical expertise and learn designing large scale distributed, service-oriented systems. Come join us in our journey to improve our customer experience at Amazon ! Our ideal candidate will have launched multiple, impactful tech products, have demonstrated the ability to work in high-performance teams, and have deep understanding of product management, user experience, and software development processes (especially agile). You should be highly analytical, able to work effectively across teams, and thrive in entrepreneurial, fast-paced work environments. Key responsibilities include: Lead product strategy and vision supported by internal data and external analysis. Define creative, high quality, simple product requirements and roadmaps based on product strategy. Manage prioritization and trade-offs among customer experience, performance and operational support requirements. Create buy-in for the product vision both internally and with key partners Work closely with engineering teams to deliver products to market using agile development methodologies. Stay current and report on industry trends, including new opportunities, competitor capabilities, etc. Measure and analyze existing products and business models for opportunities to innovate and improve, providing additional benefits to developers and customers Proactively identify and resolve strategic issues that may impair the team s ability to meet strategic, financial, and technical goals About the team Amazon carries the world s largest catalog of products and in order to maintain this lead, we are constantly exploring and understanding the global e-commerce landscape. The mission of Selection Monitoring (SM) team is to collect all publicly available facts and generate insights about brands and products. SM is a global team with the charter to surface these facts and insights to WW Amazon teams where we have an e-commerce business. SM s primary objective is to improve Amazon selection and customer experience by discovering, validating, prioritizing off-Amazon brands and selection. Bachelors degree Experience owning/driving roadmap strategy and definition Experience with feature delivery and tradeoffs of a product Experience contributing to engineering discussions around technology decisions and strategy related to a product Experience managing technical products or online services Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Experience in building and driving adoption of new tools Experience working directly with Engineers on product enhancements Experience in project management methodologies, business analysis, or process improvement

KPI Partners is seeking a highly skilled and experienced GenAI Engineer with a strong background in Data Engineering and Software Development to join our team. The ideal candidate will focus on enhancing our information retrieval and generation capabilities, with specific experience in Azure AI Search, data processing for RAG, multimodal data integration, and familiarity with Databricks. Key Responsibilities: Design, develop, and optimize Retrieval-Augmented Generation models to improve information retrieval and generation processes within our applications. Develop and maintain search solutions using Azure AI Search to ensure efficient and accurate information access Process and prepare data to support RAG workflows, ensuring data quality and relevance. Integrate and manage various data types (eg, text, images) to enhance retrieval and generation capabilities. Work closely with cross-functional teams to integrate data into our existing retrieval eco-system, ensuring seamless functionality and performance. Ensure the scalability, reliability, and performance of data retrieval in production environments. Stay updated with the latest advancements in AI, ML, and data engineering to drive innovation and maintain a competitive edge. What we're looking for: masters degree in Data Science or a related field is preferred. Approximately 8 years of experience in Data Science, MLOps, and Data Engineering Proven experience in AI and ML solution implementation, particularly in semiconductor manufacturing. Proficiency in Python Proven experience in data engineering and software development, with a focus on building and deploying RAG pipelines or similar information retrieval systems. Familiarity with processing multimodal data (eg, text, images) for retrieval and generation tasks. Strong understanding of database systems (SQL and NoSQL) and data warehousing solutions. Proficiency in Azure AI, Databricks, and other relevant tools.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Search specialist - Job profile The Search Specialist within the Enterprise Search Platform Team is responsible for maintaining and optimising the platform, powered by Sinequa technology. This role focuses on platform lifecycle and data source indexing to ensure the platform operates efficiently and effectively, and properly supports the use cases. This role requires close collaboration with the Product Owner and Solution Architect to translate business requirements into technical solutions to drive excellence in our search capabilities. Key Responsibilities: Search Implementation: Develop and integrate advanced search functionalities, including indexing, query processing, and relevancy tuning. Work on the design, implementation, and optimization of Sinequa search solutions. Configure, customize, and maintain Sinequas search platform to meet organizational requirements. Implement data ingestion procedures leveraging Sinequa connectors and APIs. Development of Search-Based Applications: Design, develop, and deploy search-based applications that leverage the Sinequa platform. Integrate search functionalities into existing and new applications to enhance user experience and information retrieval. Collaborate with UI/UX designers to create engaging and efficient search interfaces. Implement security best practices to protect sensitive data within search-based applications. Test, debug, and document search-based applications to ensure high-quality deliverables. Optimization and Performance: Monitor and optimize search performance, ensuring low latency and high accuracy of search results. Troubleshoot and resolve issues related to search indexing, relevance, and data retrieval. Conduct regular performance analyses and make necessary adjustments to enhance search efficiency. Collaboration and Communication: Work closely with Product Owners, Solution Architects, and development teams to translate business needs into technical solutions. Collaborate with data and content experts to ensure data quality and search index integrity. Provide clear and effective communication on search-related topics to both technical and non-technical stakeholders. User Experience Enhancement: Design and implement user-friendly search interfaces and experiences. Gather and analyze user feedback to continually improve search functionalities. Ensure the search platform provides intuitive and relevant results to end-users. Data Management: Oversee data taxonomy, metadata, and tagging processes to ensure consistency and accuracy in search results. Implement best practices for data governance and quality management in the context of search. Innovation and Continuous Improvement: Keep up-to-date with the latest trends and best practices in search technologies and apply this knowledge to improve the Sinequa platform. Identify opportunities for leveraging new features and functionalities within the Sinequa platform to enhance organizational search capabilities. Qualifications: Solid understanding of search algorithms, information retrieval, and relevancy tuning. Programming/scripting skills. Familiarity with Java, Angular, Python, .NET or similar. Experience with the Sinequa platform OR similar search solutions (Elasticsearch, Solr, etc.) Strong analytical and problem-solving skills. Experience with data integration tools and techniques. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Background in natural language processing (NLP) or machine learning as applied to search is a plus. Familiarity with cloud platforms and services, particularly AWS is a plus. Knowledge of data governance and data quality best practices is a plus.

The Search Specialist within the Enterprise Search Platform Team is responsible for maintaining and optimising the platform, powered by Sinequa technology. This role focuses on platform lifecycle and data source indexing to ensure the platform operates efficiently and effectively, and properly supports the use cases. This role requires close collaboration with the Product Owner and Solution Architect to translate business requirements into technical solutions to drive excellence in our search capabilities. Key Responsibilities: Search Implementation: Develop and integrate advanced search functionalities, including indexing, query processing, and relevancy tuning. Work on the design, implementation, and optimization of Sinequa search solutions. Configure, customize, and maintain Sinequas search platform to meet organizational requirements. Implement data ingestion procedures leveraging Sinequa connectors and APIs. Development of Search-Based Applications: Design, develop, and deploy search-based applications that leverage the Sinequa platform. Integrate search functionalities into existing and new applications to enhance user experience and information retrieval. Collaborate with UI/UX designers to create engaging and efficient search interfaces. Implement security best practices to protect sensitive data within search-based applications. Test, debug, and document search-based applications to ensure high-quality deliverables. Optimization and Performance: Monitor and optimize search performance, ensuring low latency and high accuracy of search results. Troubleshoot and resolve issues related to search indexing, relevance, and data retrieval. Conduct regular performance analyses and make necessary adjustments to enhance search efficiency. Collaboration and Communication: Work closely with Product Owners, Solution Architects, and development teams to translate business needs into technical solutions. Collaborate with data and content experts to ensure data quality and search index integrity. Provide clear and effective communication on search-related topics to both technical and non-technical stakeholders. User Experience Enhancement: Design and implement user-friendly search interfaces and experiences. Gather and analyze user feedback to continually improve search functionalities. Ensure the search platform provides intuitive and relevant results to end-users. Data Management: Oversee data taxonomy, metadata, and tagging processes to ensure consistency and accuracy in search results. Implement best practices for data governance and quality management in the context of search. Innovation and Continuous Improvement: Keep up-to-date with the latest trends and best practices in search technologies and apply this knowledge to improve the Sinequa platform. Identify opportunities for leveraging new features and functionalities within the Sinequa platform to enhance organizational search capabilities. Qualifications: Solid understanding of search algorithms, information retrieval, and relevancy tuning. Programming/scripting skills. Familiarity with Java, Angular, Python, .NET or similar. Experience with the Sinequa platform OR similar search solutions (Elasticsearch, Solr, etc.) Strong analytical and problem-solving skills. Experience with data integration tools and techniques. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Background in natural language processing (NLP) or machine learning as applied to search is a plus. Familiarity with cloud platforms and services, particularly AWS is a plus. Knowledge of data governance and data quality best practices is a plus.

KPI Partners is seeking a highly skilled and experienced GenAI Engineer with a strong background in Data Engineering and Software Development to join our team. The ideal candidate will focus on enhancing our information retrieval and generation capabilities, with specific experience in Azure AI Search, data processing for RAG, multimodal data integration, and familiarity with Databricks. Key Responsibilities: Design, develop, and optimize Retrieval-Augmented Generation models to improve information retrieval and generation processes within our applications. Develop and maintain search solutions using Azure AI Search to ensure efficient and accurate information access Process and prepare data to support RAG workflows, ensuring data quality and relevance. Integrate and manage various data types (e.g., text, images) to enhance retrieval and generation capabilities. Work closely with cross-functional teams to integrate data into our existing retrieval eco-system, ensuring seamless functionality and performance. Ensure the scalability, reliability, and performance of data retrieval in production environments. Stay updated with the latest advancements in AI, ML, and data engineering to drive innovation and maintain a competitive edge. What we’re looking for: Master’s degree in Data Science or a related field is preferred. Approximately 8 years of experience in Data Science, MLOps, and Data Engineering Proven experience in AI and ML solution implementation, particularly in semiconductor manufacturing. Proficiency in Python Proven experience in data engineering and software development, with a focus on building and deploying RAG pipelines or similar information retrieval systems. Familiarity with processing multimodal data (e.g., text, images) for retrieval and generation tasks. Strong understanding of database systems (SQL and NoSQL) and data warehousing solutions. Proficiency in Azure AI, Databricks, and other relevant tools.

About the Role: Grade Level (for internal use): 11 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s in it for you Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 7+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Were more than 35,000 strong worldwide—so were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Flexible DowntimeGenerous time off helps keep you energized for your time on. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIt’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email toEEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 11 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s in it for you Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Build production ready data acquisition and transformation pipelines from ideation to deployment Being a hands-on problem solver and developer helping to extend and manage the data platforms Architect and lead the development of end-to-end data ingestion and processing pipelines to support downstream ML workflows Apply best practices in data modeling and building ETL pipelines (streaming and batch) using cloud-native solutions Mentor junior and mid-level data engineers and provide technical guidance and best practices What We’re Looking For 7-10 years of professional software work experience Expertise in Python and Apache Spark OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Proficient in optimizing data flows for performance, storage, and cost efficiency Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Core Java 17+, preferably Java 21+, and associated toolchain DevOps with a keen interest in automation Apache Avro Apache Kafka Kubernetes Cloud expertise (AWS and GCP preferably) Other JVM based languages - e.g. Kotlin, Scala C# - in particular .NET Core What’s In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Were more than 35,000 strong worldwide—so were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Flexible DowntimeGenerous time off helps keep you energized for your time on. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIt’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email toEEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 10 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s in it for you Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 3+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Were more than 35,000 strong worldwide—so were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Flexible DowntimeGenerous time off helps keep you energized for your time on. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIt’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email toEEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

Who We Are Simpplr is the AI-powered platform that unifies the digital workplace - bringing together engagement, enablement, and services to transform the employee experience. It streamlines communication, simplifies interactions, automates workflows, and elevates the everyday experience of work. The platform is intuitive, highly extensible, and built to integrate seamlessly with your existing technology. More than 1,000 leading organizations - including AAA, the NHS, Penske, and Moderna - trust Simpplr to foster a more aligned and productive workforce. Headquartered in Silicon Valley with global offices, Simpplr is backed by Norwest Ventures, Sapphire Ventures, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com . About the Role Join our forward-thinking team as a Data Scientist where you will address real-world challenges through the lens of AI innovation, specifically focusing on Enterprise Search, Personalization, Content Recommendation, and pioneering work with custom LLM fine-tuning. Work in an environment that fosters collaboration among highly skilled professionals to build next- generation products that significantly impact our clients operational effectiveness. Key Responsibilities Innovate and develop scalable solutions leveraging AI technologies to process and analyze vast amounts of data efficiently. Quickly prototype, test, and deploy effective AI solutions, managing project timelines and deliverables while incorporating the latest advancements in AI research. Engage with cross-disciplinary teams to identify and implement AI-driven enhancements for user experiences, leading the charge from ideation to deployment. What We re Looking For 3-5 years of experience in crafting and implementing AI models, with a particular interest in applications within Enterprise Search and Content Personalization. Solid grounding in AI technologies, with proficiency in Python and familiarity with AI development frameworks. Interest or experience in ML-Ops, emphasizing the journey from concept to production scalability of ML models. Openness to candidates with a robust background in backend development who have delved into AI, especially those who have engaged in Enterprise Search, Developing learning to rank models, Agentic Workflows and LLM fine-tuning. Knowledge in developing analytical applications and working with cloud platforms, capable of managing large data sets and complex AI models. Technical skill sets Strong coding skills Understanding basics of Machine Learning, Deep Learning, and Natural Language Processing algorithms Experience in working with data annotation tools and building ML evaluation pipelines Comfort with working in multiple tech stacks Experience in API Development, Docker and AWS Services Nice to have: Experience in ML research, focusing on LLMs, Information Retrieval Systems, Reinforcement Learning, Knowledge Graphs, Agentic Workflows, Retrieval-Augmented Generation (RAG), Recommender Systems, Scaling, Monitoring, and Deploying LLMs Our Ideal Candidate We are in search of individuals who are not merely experienced but deeply passionate about unearthing new challenges and inquiries in the realm of AI. We value creativity, positivity, work ethic and the pursuit of answering intricate questions with methodical accuracy. Multiple positions at different seniority levels are available. Simpplr s Hub-Hybrid-Remote Model: At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want. Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time. Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis. Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.

The people here at Apple don t just build products they craft the kind of wonder that has revolutionized entire industries. It s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Imagine what you could do here. Join Apple, and help us leave the world better than we found it. A job at Apple is unlike any other you ve had. You will be challenged. You will inspired. And you ll be proud! At Apple, phenomenal ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish!We are seeking a highly motivated and innovative AI/ML Engineer to join our EMC Design Engineering team. The ideal candidate will bring a deep understanding of machine learning, especially in the area of Generative AI, and apply these skills to real-world challenges in electromagnetic compatibility (EMC) validation, testing, and automation. You will be part of a forward-thinking team working on transformative projects that span multiple Lines of Business (LoB), collaborating with cross-functional teams to develop, optimise, and integrate generative AI/ML solutions to support EMC design and test automation. At Apple, great ideas quickly turn into great products, services, and customer experiences. Join us and help drive groundbreaking innovation that impacts billions of users. Description You ll collaborate with EMC and other cross-functional teams to develop AI-driven workflows for EMC testing and design optimization. This includes building, fine-tuning, and deploying Generative AI models (such as LLMs, VLMs, and diffusion models), integrating them into existing EMC pipelines, and improving productivity through automation.- Design, develop, and optimize Generative AI/ML models to improve EMC validation workflows.- Collaborate across teams to validate and enhance the performance of AI/ML models.- Automate complex EMC test procedures using custom-built ML tools and algorithms.- Maintain, evaluate, and iterate on existing ML pipelines and models.- Generate comprehensive performance analysis and validation reports.- Coordinate with cross-functional teams to deploy ML solutions at scale. Bachelor s in Computer Science or related field 5+ years of hands-on experience in AI/ML software development, with a strong focus on Generative AI. Strong programming skills in Python and C++ Solid experience with deep learning frameworks such as PyTorch, TensorFlow, sklearn, or similar. Experience in machine learning, deep learning or a related field Expertise in model training, fine-tuning, and deployment Preferred Qualifications Experience working with foundation models, LLMs, multimodal models, and large-scale model optimization. Strong and validated experience in ML development and production systems Strong industry background and experience in search and related technologies (LLMs, Machine Learning, NLP, Information Retrieval, Question Answering) Masters with 5+ years of working experience in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field Strong analytical thinking and problem-solving skills. Excellent written and verbal communication skills. Ability to work across time zones and manage multiple project timelines.

Software Engineer II - BAI Product Development India, India Apply Description Software Engineer II Job Description Opportunity Summary: You will join the core development team and be given the opportunity to work on all aspects of our technology stack. From building high-performance connectors enabling the ingestion of terabytes of data to developing and enhancing the core functionalities of our content enrichment product, as well as integrating cutting-edge AI, large language models like ChatGPT, and ML into our processing flow to understand content and queries ensuring the delivery of the right answer at the right time. If you are interested in search and information retrieval or love the challenge of highly scalable, highly performing software, you have a place in our team. What would you do? The primary responsibility of this position is to actively contribute to the proposal, design, and implementation of advanced functionalities in our suite of enterprise search products. This role entails exploring and integrating new technologies, particularly in artificial intelligence, alongside the development of robust core features of the content enrichment engine, to enhance and innovate features throughout our product line. The individual in this role will work closely with a dynamic team to conceptualize and deliver competitive solutions, ensuring the continuous innovation of our enterprise search products in the market. This requires a proactive problem-solving approach and a commitment to delivering high-quality, forward-thinking products that surpass customer expectations. You will work primarily in C#/.NET technology, integrating with AWS, Container, and Cloud-based solutions while also engaging with state-of-the-art AI technologies and concepts. This position requires you to be comfortable with distributed systems as well as high performance, multi-threading development best practices, ensuring your contributions align with the latest advancements in artificial intelligence and core system functionality. What are we looking for? Technical Skills The following skills are needed for this role. Experience: 3+ years of C# and .NET experience for web applications Strong OOP and design patterns expertise Code refactoring and unit testing proficiency Experience with distributed, high-performance systems Proven ability to lead successful Proof of Concepts (POCs) Quick adoption of new third-party technologies, cloud-hosted services, and vendor-provided solutions Capability to assess and select the most suitable technologies and services for optimal solutions Primary Skills: The candidate must possess the following primary skills: Technical skills: Advanced C# and .NET skills applied to building scalable web applications Experience designing distributed, high-performance systems with .NET Proven ability to integrate third-party and cloud-hosted services in C#/.NET solutions Experience developing web front-end applications using JavaScript frameworks, HTML and CSS Integrations with 3rd party systems: OAuth, Azure AD, REST API Secondary Skills: It would be advantageous if the candidate also has the following secondary skills: Innovation and AI Exploration: Demonstrated innovative thinking for product enhancements Capability to explore and understand state-of-the-art AI technologies Integration of AI solutions and envisioning new functionalities Ability to demo and sustain proposed features with clear justifications User Experience (UX) and Usability: User-centric approach to UX design Usability enhancement based on feedback and best practices Ability to demo and sustain proposed features with clear justifications Soft Skills: A self-starter with great communication and problem-solving skills Exceptional troubleshooting and analytical abilities Thrives collaborating in a team environment with a diverse range of people Passionate about delivering an amazing customer experience Able to have a change of mind, and able to change the minds of others Writes clearly and concisely Capable of working without a company office, with a fully remote team Growth Skills: Possesses a good work ethic; a self-starter with a desire to grow Always looking for better ways to get the job done Qualification Bachelor s degree or technical institute degree/certificate in Computer Science, Information Systems, or other related field or equivalent combination of knowledge and experience. This role requires overlap with multiple time zones for planning meetings, status updates etc. on a regular basis. The duration of these overlaps can change depending on the type of meeting. Upland India has the flexibility to manage your working hours accordingly to help in your work-life balance . You can find out more about this during your interview conversation. Upland Software is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other legally protected status. About BAI Upland BA Insight provides a search platform enabling organizations to deploy search solutions both internally and for their extranet / internet needs. Our technology stack, incorporating the latest state-of-the-art AI technologies, offers an end-to-end solution for all search needs: from indexing any content source and enhancing ingested content quality to an enhanced search user experience framework. We leverage advanced AI and NLP capabilities to provide the best answer possible to end-users. Our technology is deployed within many organizations worldwide, ranging from hundreds of users to hundreds of thousands of users, processing hundreds of millions of documents. About Upland Upland Software (Nasdaq: UPLD) helps global businesses accelerate digital transformation with a powerful cloud software library that provides choice, flexibility, and value. Upland India is a fully owned subsidiary of Upland Software and headquartered in Bangalore. We are a remote-first company. Interviews and on-boarding are conducted virtually. #LI REMOTE Apply Apply Later Back to Current Openings

About the Role Familiarizing and adopting work methodology aligning with the existing ACoE organization. Contributing to the Solutioning/POCs for key initiatives already in-flight Applying modern development practices in the delivering POC’s/prototypes in intelligent Automation technologies. Make sure ACoE continues to delivery intelligent automation capabilities on-prem and cloud adding decision and conversational intelligence Become a key member of a high performing team that can take ownership of innovative projects from inception to delivery. Proactively look for and explore opportunities where ACoE can improve the status quo or generate new business value Drive data and analytics through insights, reporting, and predictive models that support finance strategy and ensure proper implementation of analytics driven decision via various automation techniques. Implement NLP where applicable and complete the use cases as per requirements. Having experience in implementing chatbot functionality. Connect to Database and integrate the code with the visualization tools by enabling interaction with database/bot/Power BI Create technical documentation for reference and reporting Develop intuitive software that meets and exceeds the needs of the company Experience working with SAP (ERP), SFDC, Microsoft Office preferred Have led a team of junior developers to guide/mentor them on best practices of RPA solution Owned review of production ready deliverables. Relevant experience/awareness in Python, Chatbots, OCR, ML and AI techniques Experience in creating workflows, storyboards, user flows, process flows and site maps. Knowledge of frameworks/systems like AngularJS, Git and more Experience in Power BI or any visualization tools is preferrece About You Can understand, apply, integrate, and deploy Machine Learning capabilities and techniques into other systems. 3 to 5 years of experience. Demonstrate experience designing cloud-native applications in AWS – particularly those involving ML models. Have hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.). Had previous exposure to Natural Language Processing (NLP) problems and is familiar with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in research and engineering fields. Have been successfully taking and integrating Machine Learning solutions to production-grade software. #LI-AD1 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 valuesObsess 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.

Job Title : Technical Content Strategist/Developer Location: Pune or Bengaluru, India Company Description : Nexthop AI is a team of industry-leading professionals with deep hardware and software expertise spanning silicon, systems, network operations and cloud development, dedicated to building innovative, bleeding-edge solutions for large-scale AI deployments. The team culture thrives on collaboration, creativity and fun while delivering foundational technologies for next-generation AI infrastructure. About the Role: We are seeking an experienced Technical Content Strategist/Developer to be an integral part of our team. Job Responsibilities: Collaborate with cross-functional teams hardware and software engineers, product managers, technical support engineers, customer engineers to gather technical information, verify content accuracy, and convert it into different forms of technical content. Develop and maintain customer-facing technical product documentation, including configuration guides, product manuals, CLI guides, release notes, and training material. Ensure that our technical content is clear, concise, and actionable, and tailored for our target audiences network architects, operators, and data center engineers. Practice and implement documentation standards, best practices, templates, versioning and style guides. Create and / or polish content for our corporate website, blog, and customer portal. Leverage AI tools and automation workflows to make content development and editing more effective and efficient and content easily queryable by users. Qualifications : Were seeking individuals who thrive in a fast-paced, collaborative startup and have a strong aptitude for taking initiative and learning. Additionally, we value individuals who practice and instill customer empathy. 8+ years of experience as a technical writer, content developer, or similar role. Strong background in networking and familiarity with data center technologies. Exceptional writing, editing, and proofreading skills. Excellent collaboration skills and experience of working with crossfunctional teams both local and remote. Ability to translate complex technical concepts into clear, concise, and customer-friendly content. Working knowledge of modern enterprise documentation platforms such as Docusaurus, Document360, or Gitbook, and structured authoring tools such as DITA, Markdown, or Oxygen. Demonstrated experience of using AI tools to assist with information retrieval, research, content creation, and process automation. Experience of creating technical documentation for networking products both hardware and software. Familiarity with modern headless CMS solutions such as Contentful, Sanity, and Strapi, and web technologies such as Wordpress, HTML/CSS, and Javascript/React would be a big plus.

About The Role We are seeking an innovative Data Scientist specializing in Natural Language Processing (NLP) to join our technology team in Bangalore The ideal candidate will harness the power of language models and document extraction techniques to transform legal information into accessible, actionable insights for our clients. Responsibilities Develop and implement NLP solutions to automate legal document analysis and extraction Create and optimize prompt engineering strategies for large language models Design search functionality leveraging semantic understanding of legal documents Build document extraction pipelines to process unstructured legal text data Develop data visualizations using PowerBI and Tableau to communicate insights Collaborate with product and legal teams to enhance our tech-enabled services Continuously improve model performance and user experience. Requirements Bachelor's degree in relevant field 1-5 years of professional experience in data science, with focus on NLP applications Demonstrated experience working with LLM APIs (e.g., OpenAI, Anthropic, ) Proficiency in prompt engineering and optimization techniques Experience with document extraction and information retrieval systems Strong skills in data visualization tools, particularly PowerBI and Tableau Excellent programming skills in Python and familiarity with NLP libraries Strong understanding of legal terminology and document structures (preferred) Excellent communication skills in English What We Offer Competitive salary and benefits package Opportunity to work at India's largest legal tech company Professional growth in the fast-evolving legal technology sector Collaborative work environment with industry experts Flexible work arrangements Qualified candidates are encouraged to apply with a resume highlighting relevant experience with NLP, prompt engineering, and data visualization tools. Skills:PowerBI, Tableau and Natural Language Processing (NLP)

What You Will Do Design, build and optimize scalable machine learning infrastructure to support training/fine-tuning, evaluation, and deployment of LLMs and their applications, Leverage LLMs to develop multi-turn multi-hop conversational search systems and products, Craft new machine learning features and optimize existing ones to enhance quality metrics to meet the product requirements, Research and productionize next-gen search platforms using RAG (Retrieval Augmented Generation) architecture, Optimize system performance of retrieval, ranking, reasoning, and generation modules, Develop tools, processes and metrics to measure and monitor the system performance and quality, Collaborate with cross functional teams from machine learning, engineering, data analytics, product management, and go-to-market to build new products and/or features, What You Bring To The Table A builder mentality, 5+ years of hands-on software engineering experience in building and scaling machine learning based search, recommendation, or social network products or their supporting platforms, Effective communication skills with experience collaborating cross-functionally, A BS/MS/PhD in Computer Science or related fields, Nice To Have Experience in NLP or Information Retrieval related fields, Experience in developing products in performant languages such as Golang, Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans, Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the roles scope and complexity, the candidates experience and expertise, and other factors, Moveworks Is An Equal Opportunity Employer Moveworks is proud to be an equal opportunity employer We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law, Who We Are Moveworks is the universal AI copilot for search and automation across all your business applications We give employees one place to go to find information and get support while reducing costs for your business The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees, The worlds most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminate repetitive support issues, deliver instant knowledge, and empower employees to work faster across applications, Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2 1 billion, thanks to our award-winning product and team In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024! Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more, Come join one of the most innovative teams on the planet!

Experience Level: 4 6 Years Location: Bangalore, UB City office Notice Period: Immediate About the Role: We are seeking a skilled and passionate RAG Prompt Engineer to join our AI/ML team. This role focuses on designing, developing, and optimizing prompts and pipelines for Retrieval-Augmented Generation (RAG) systems using Large Language Models (LLMs) . The ideal candidate has a strong background in natural language processing , prompt engineering , and information retrieval , with hands-on experience building scalable LLM-powered applications. Key Responsibilities: Design and implement prompt strategies for RAG-based systems using leading LLM frameworks (e.g., OpenAI, Hugging Face, Cohere). Integrate vector databases and retrieval systems (e.g., FAISS, Pinecone, Weaviate ) with LLMs for accurate and context-aware responses. Fine-tune or instruct-tune LLMs (e.g., LLaMA, GPT-4, Mistral) for domain-specific applications. Optimize query performance and retrieval accuracy in vector search engines. Evaluate and iterate on prompts using metrics such as relevance, coherence, factual accuracy, and latency. Collaborate with product and research teams to deploy RAG pipelines in production environments. Stay up to date with the latest advancements in LLMs, retrieval methods, and generative AI. Required Skills & Qualifications: 4 6 years of experience in NLP, ML, or AI-focused roles, with at least 1 2 years in prompt engineering or LLM application development. Proven experience with RAG architectures and implementation. Proficiency in Python and experience with libraries like LangChain , LlamaIndex , or similar orchestration tools. Experience with LLM APIs (OpenAI, Anthropic, Cohere, etc.) and open-source LLMs (Mistral, LLaMA, Falcon, etc.). Strong understanding of vector search and semantic retrieval using FAISS, Pinecone, Weaviate, or Vespa. Familiarity with prompt tuning, few-shot learning, zero-shot techniques , and evaluation methodologies . Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools for deployment and monitoring. Solid grasp of version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes preferred).

Job Description Join Us! We combine AtkinsR alis project management expertise and Hitachi Energy s deep technological knowledge to create a company dedicated to substations - we are Linxon! The Document Controller - OPC will be a member of Linxon IN OPC-Chennai Engineering Team and will contribute towards the effective operation of project unit. What will you do? Operates the document management systems required by the Engineering teams. Maintains lists of documents, codes document, ensures that the reviews, numbering, distribution, filing and registration are in compliance with company procedures. Creates and communicates progress reports and percentage complete reports to management and Engineering specialists. Reports early any contract/quality/program/cost issues to management for resolution. Effectively communicates appropriate information to the customers and other stakeholders in a timely manner. Ensures that Linxon is presented as a professional organization in all interactions with the customer. Applies company procedures related to document management information systems correctly. Verifies the format, receipt, registration, number, filing, recovery and the issue of documents. Prepares operating manuals and maintains them in accordance with the index defined by the engineering teams. Organizes final documents and maintains them in the internal/external archives. Experience and Education Required : Experienced in controlling documents and records for engineering and construction projects. Computer literacy especially skilled in Microsoft Office, Adobe Acrobat. Minimum qualification of associate degree with 5+ years of applicable experience. Knowledge of automated documentation control packages such as SOBIS - Project Information Retrieval System (PIRs) would be a big advantage although training will be given. What we offer: In return, we offer a wide range of rewards and benefits, 20 days Privilege Leave, 13 days Emergency leave and 14 Public holidays per year Global Career Progression Opportunities Medical Insurance, Life Insurance ED&I: When it comes to diversity and inclusion, we see things differently at Linxon - we encourage applications from people of all races, ages, genders, religions, sexual orientations and more - so whoever you are, we hope you ll see things our way, too. About Linxon We combine AtkinsR alis project management expertise and Hitachi Energy s industry-leading technological knowledge to create a new company, leveraging the key strengths from both parent partners. Linxon s vision is to deliver the best market offering for turnkey substation projects through world-class power technologies and delivering the highest level of competence in managing infrastructure projects. As a leading engineering company, we help our customers with turnkey substation solutions in the field of power transmission, renewable energy, and transportation. In this role, you will have the opportunity to be part of a new company as it evolves and help shape it for the future. If you like new challenges, have an entrepreneurial spirit, and are interested in working with other motivated professionals with expertise in the Substations EPC business, then this is the new opportunity for you. Building the infrastructure to power the world - we are Linxon! - YouTube Worker Type Employee Job Type Regular At Linxon, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

Job Title Analytics Engineer II Corporate Title Assistant Vice President Corporate Band E Location Bangalore Job Description: Group Data Services (GDS) leads Swiss Res ambition to be a truly data-driven risk knowledge company. GDS bring expertise and experience covering all aspects of data and analytics to enable Swiss Re in its vision to make the world more resilient. The Data Science AI unit delivers state of the art AI/GenAI solutions for the Swiss Re Group, working in close collaboration with the business units. The Opportunity To extend the existing AI-powered search and conversational solution, we are seeking a motivated Data/Software Engineer with focus on data to build and own scalable platforms, end-to-end solutions and services around information retrieval, text mining, big data/document analytics, LLM application Key Responsibilities Design and develop scalable data engineering solutions for AI search and conversational product Collaborate iterate - Pair with engineers, data scientists, and business experts to release improvements at pace Proactively identify potentials for continuous improvement of existing solutions Apply and implement Agile Scrum and DevOps best practices while driving the project forward Build up sustainable relationships with key business and IT stakeholders in order to become a trusted partner in the field of information retrieval and big data/document analytics Ensure timely customer communication and coordination of follow-up activities About You To excel in this role, you have: 5+ years of professional experience in data engineering/software development in an enterprise environment, with strong programming skills in Python/Java or equivalent Knowledge about some of the following technologies: Spark/PySpark, RDBMS, API programming, CI/CD Understanding of complex enterprise software landscape- Distributed systems, big data, security Excellent verbal and written English skills Experience working with or in Agile teams and understanding of Agile practices Bachelors/Masters degree in computer science or equivalent How you work: Team player with a can do attitude Self-directed proactive: you surface problems and drive them to resolution Calm under pressure; balance delivery speed with development quality Customer-obsessed; hold the bar high for usability, accessibility, and reliability AI-curious problem-solver who creates efficient backend solutions with the help of AI Bonus points: Understanding of (Re-) insurance and/or financial services information needs Experience with Palantir Platform Experience in LLM, RAG and related engineering About Swiss Re . If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 133963

Understand Design and implementation of AI models using Large Language Models (LLMs) with a focus on OpenAI or Azure OpenAI or LangSmith technologies. Test multi-agent workflows and agentic frameworks to facilitate collaboration among AI agents. Utilize effective prompting techniques to enhance the performance of AI models and ensure optimal outputs. Implement Retrieval-Augmented Generation (RAG) techniques and manage vector databases to improve information retrieval processes. Testing agent tools integration using Model Context Protocol (MCP) for seamless communication and operation of AI agents. Monitor and analyze system performance through observation and telemetry to improve AI model accuracy and reliability. Collaborate with cross-functional teams to test RESTful APIs that support AI functionalities and integrations. Ensure the security of AI applications by testing implementations of security fundamentals, including OAuth2.x authentication methods. Testing SQL databases (SQL Server preferred) to ensure data integrity and accessibility. Write efficient code in Python and TypeScript, adhering to best practices and coding standards. Optionally, utilize C# for certain application components testing as needed. Mandatory Skills Proven experience working with Large Language Models (LLMs), with specific experience in OpenAI or Azure OpenAI or LangChain preferred. Strong understanding of agentic frameworks and multiagent systems. Expertise in effective prompting strategies for AI models. Familiarity with Retrieval Augmented Generation (RAG) and vector databases. Experience with agent tools, particularly Model Context Protocol (MCP).Proficient in monitoring and telemetry techniques for AI applications. Strong programming skills in Python and TypeScript experience with C# is a plus. Knowledge of REST API fundamentals and best practices. Understanding of security fundamentals, including OAuth2.x and secure coding practices. Experience with SQL databases, specifically SQL Server, is highly desirable. Strong problem-solving skills, with a focus on delivering high quality software solutions. Excellent communication and teamwork skills, with the ability to collaborate effectively across departments. Good to Have Skills TFS, GitHub tool knowledge FrameWork Design Along with technical skills, need Good Communication and articulation skills

As a Machine learning engineer who will develop self-running AI software to automate predictive models for recommended searches for our AI Engine. Who will design machine learning systems, apply algorithms to generate accurate predictions, and resolve data set problems. What youll do Partner with data scientist working on discovery, prototypes and pilot. Focus on experiment tracking. Partner with data scientist & ML engineers to design, develop, and deploy deep & machine learning applications using complex high dimensional features that run efficiently in cloud. Design, build, and maintain the core machine learning capabilities, services and platforms. Design and implement end-to-end machine learning pipelines accounting for the variability in data sources and collection policies, data analysis and feature extraction methodologies, modelling frameworks and serving infrastructure. Help drive optimization, testing, and tooling to improve quality (unit tests). Implement integrated monitoring of model performance for reliability and maintenance. Monitor model performance, working with data scientists assessing models performance, bias & fairness. Work with a wide range of systems, processes and technologies to own and solve problems. Continuously improve ML processes, tools and standards. Work Experience What youve done 3+ Experience deploying production-grade AI applications. Strong technical knowledge of python, data structure, flask or fastapi. Strong technical knowledge of classical ML approaches as well as novel deep learning methods. Proficiency with deep learning frameworks such as TensorFlow/Keras or PyTorch (Basic Understanding is must) as well as packages for machine learning such as scikit-learn and pandas. 3+ years\u2019 experience in ETL and/or data wrangling techniques. Fluent with Azure cloud services, AWS Fluent in git (version control), Docker, Jenkins. Fluent with design and management of APIs. Experience with K8s is a plus. Experience with distributed systems is a plus. Experience with Mlflow, Seldon is a plus Experience with ELK, Mongodb is a plus. Experience with MLOPS, ML security is a plus. Experience in Information Retrieval, Recommender Systems is a plus Constant need to learn (infinite curiosity) and overcome the barriers of technology. Genuine team spirit and a deep passion for our mission. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for teamwork and analytics product creation. Fluent in Jira, Confluence. Education: Bachelor\u2019s degree in computer science, Engineering, or a related field, or equivalent work experience. Benefits We want you to be your best self and to pursue your passions! Health and wellness benefits/programs to support holistic employee health Growing organization with career pathing and development opportunities Tons of perks and extras in every location for all Phenoms! Diversity, Equity, & Inclusion: ","

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.Applied Machine Learning group is in search for 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. Description At Apple, code and functional quality is always at the forefront and one of the key measures of Success.As part of the Applied Machine Learning team, you will be responsible for conceptualising, designing, implementing and running cutting edge solutions, leveraging best suited ML, AI and NLP techniques and contributing to building reusable platforms. Our group has a broad impact, so you can expect to be cross functional and see new wondrous and challenging use cases where modern day technologies can help solve real world problems.We are looking for someone who has a proven track record in crafting and developing high quality enterprise software solutions. This position requires a hands on person, who is passionate about understanding the details of a problem, can think about different solutions and can advise a team by example when the time to implement comes.we're looking for a self-starting, upbeat individual with excellent written and communication skills, hardworking person who is a great teammate, but not afraid to question assumptions and take initiative. If you feel this is you, we'd love to hear from you. bachelors in Computer Science or equivalent experience 7+ years of experience in building and managing big-data platforms and programming experience in Java Working experience with search and information retrieval (Lucene, Solr, Elasticsearch, Milvus, Vespa) BS in Computer Science or equivalent Preferred Qualifications Experience scaling distributed ML and AI systems to handle millions of concurrent requests is desirable Experience with ML applications in cross domain contexts is a plus Experience with public cloud (AWS/GCP) Good understanding of AI/ML stack - GPUs, MLFlow, LLM models is a plus. Understanding of data modeling, data warehousing, and ETL concepts is a plus Have created 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 to deliver complex projects. Commitment to staying updated with the latest advancements in machine learning and data science, and willingness to learn new tools and technologies as needed.

Role Description Booking Holdings (NASDAQ: BKNG) is the world leader in online travel and related services, provided to customers and partners in over 220 countries and territories through six primary consumer-facing brands - Booking.com, KAYAK, Priceline, Agoda.com, Rentalcars.com, and OpenTable. The mission of Booking Holdings is to make it easier for everyone to experience the world. During 2019, the Company had consolidated revenues and net income of $15.1 billion and $4.9 billion, respectively, and a current market value of approximately $90 billion. Booking Holdings Bangalore is a Center of Excellence based in Bangalore, India and a legal entity of Booking Holdings Inc. The Center was created to support the increasing business demands of the Booking Holdings Brands. The Center of Excellence provides access to specialized and highly skilled talent, leading industry best practices, and collaboration opportunities across all of the Booking Holdings brands and business units. It wasnt so long ago that booking a trip to see the Eiffel Tower, stroll down New Yorks iconic Madison Avenue or feel the sand between our toes on Copacabana Beach was simply a matter of a few taps on our smartphone. In fact, thats what we do at Booking.com. We make it easier for everyone to experience the world. And while that world might feel a little farther away right now, were busy preparing for when the world is ready to travel once more. Across our offices worldwide, we continue to innovate. To solve for some of the most complex challenges in travel and technology, and to plan for the exciting developments that lie ahead. With strategic long-term investments into what we believe the future of travel can be, we are opening up new career opportunities that will have a strong impact on our mission.We are united in the belief that our very human desire to explore the planets beauty and discover more about other people and cultures will endure. The world is waiting for us. Together, we will be ready. As a Machine Learning Engineer you are a driver of your discipline, who generates significant business impact directly and indirectly, and crafts the direction of product initiatives by being driven and having full ownership of your projects - from ideation to collecting data, annotating, feature engineering, productionizing and training model pipelines, deploying experiments, measuring and iterating on them - as well as coaching other Machine Learning Engineers, Scientists, Data Engineers, Product Managers, etc to do the same. B.Responsible Execute applied research plans for machine intelligence on a specific product by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences. Document and share the findings. Translate specific business problems into ML/AI challenges and identify the best approach within the constraints of the production environment. Build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders. Develop production-grade machine learning code, from models to features and pipelines, allowing for scalability, realtime, monitoring and retraining. Monitor product health, performance and business impact and act accordingly when not met. Build readable and reusable code, choosing the right technologies, coding methodologies, and approach from carefully designed rapid prototyping to software deployment at scale. Identify opportunities for platform-based development and reuse by abstracting business problems to generalized ML/AI solutions. Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields. Coach others through evidence and clear communication, explaining advanced technical concepts. Identify underlying issues and opportunities across domains and situations through application of structured thinking and logic, and formulate possible improvements. Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, introducing them to the machine learning community and promoting their application in areas where they can generate impact. Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues. Push for improvements, scaling and extending machine learning tooling and infrastructure, collaborating with central teams. B.Skilled Advanced knowledge in one or more areas of ML/AI (e.g. Recommender Systems, Deep Learning, Forecasting, Information Retrieval, Computer Vision, NLP). 5+ years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems in a commercial environment. Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization. Experience with data-driven product development: analytics, A/B testing, etc. Strong working experience in one or more general purpose programming languages, including but not limited to: Java, Python or Perl. Bsc or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields. Excellent English communication skills, both written and verbal. Experience in Kubernetes and docker.for the position.

The Opportunity If you are a talented and driven person with experience in the domain of Natural Language Processing/ Spoken Language Understanding and want to join a high-impact team at the core of Observe.AIs mission, then this role is for you! This is a highly challenging role that exposes one to state-of-the-art Machine Learning and Deep Learning algorithms in the domain of NLP and to the challenges of building a world-class ML platform in production. You will contribute to building industry-leading AI-powered products for Observe.AI leveraging the latest technologies in NLP and architecting/ implementing high throughput/ low latency/ scalable ML systems. If you are excited about building and owning cutting-edge ML-powered product capabilities, and working on both algorithms as well as platforms, you ll love the job! What you ll be doing Design & develop state-of-the-art AI capabilities end-to-end from conception to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including Large Language Models and related emerging technologies. Contribute to both ML modeling as well as building/ maintaining production systems that power AI capabilities on the product. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of the Observe.AI NLP platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you bring to the role Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP. 1+ years of industry experience in building large-scale NLP systems. Strong understanding of the fundamentals of ML and NLP, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP applications. Good understanding of recent trends in NLP around transformers, language models, textclassification, generative approaches for NLP, prompting techniques, question answering, information retrieval, etc. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch,Tensorflow, HuggingFace, etc., and deploying/ maintaining machine learning models in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus Published papers in top NLP conferences or workshops are a plus Relevant open-source contributions are a plus. Compensation, Benefits and Perks Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the magic of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe, efficient and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives. As part of the Last Mile Science & Technology organization, you ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazons Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses, plans, and recommendations to senior leadership and connect new ideas to drive change. Analytical ingenuity and leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast paced environment are critical skills for this role. Responsibilities: Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value Navigate ambiguity to develop analytic solutions and shape work for junior team members - 6+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership

Dear Candidate, We are hiring a Robotics Engineer to develop intelligent robotic systems for automation and industrial applications. The role requires expertise in robotics programming, sensor integration, and AI-driven automation. Key Responsibilities: Design and develop robotic systems using ROS, C++, and Python. Implement AI-based perception and motion planning algorithms. Integrate sensors, actuators, and embedded controllers. Optimize robotic navigation and real-time decision-making. Test and validate robotic applications in real-world environments. Required Skills & Qualifications: Robotics Frameworks: ROS, OpenCV, TensorFlow Programming: C++, Python, MATLAB Hardware Integration: LIDAR, IMU, Cameras, Actuators Control Systems: PID, Kalman Filters, Path Planning Experience with autonomous vehicles or robotic arms is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies