277 Information Retrieval Jobs

Role Overview: As a Software Engineering Manager at Google, your role will go beyond just Search. You will not only have the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. Your responsibilities will include optimizing your own code and ensuring that Engineers are able to optimize theirs. You will manage project goals, contribute to product strategy, and help develop your team. Operating with scale and speed, you will guide exceptional software engineers across multiple teams and locations, overseeing the deployment of large-scale projects internationally. Key Responsibilities: - Support the design, architecture, and optimization of core functionalities such as query understanding, intent generation, and response planning across voice and other modalities for Agentic flows. - Assume ownership of the technical roadmaps for multiple Google Home programs. - Engage closely with cross-functional teams (e.g., infrastructure, intelligence, platform, experience) to ensure alignment. - Provide technical guidance to both junior and executive engineers, fostering a high-performance environment. - Demonstrate adaptability and a willingness to undertake new issues to address evolving team requirements. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 8 years of experience in software development. - 3 years of experience in a technical leadership role overseeing projects. - 2 years of experience in a people management, supervision/team leadership role. - Experience building distributed systems at a large scale. Additional Company Details: The Voice Serving team at Google develops scalable and trustworthy infrastructure to serve journeys triggered by voice and other modalities. They work across multiple areas of the serving stack including understanding, ranking, and multi-modal fulfillment. Constantly evolving their stack to blend the latest technological advances in Artificial Intelligence (AI) to elevate the quality of response to queries, their infrastructure enables highly differentiated experiences across various platforms and surfaces within Google Home. Additionally, the Platforms and Devices team at Google encompasses various computing software platforms across environments and first-party devices and services that combine the best of Google AI, software, and hardware. Teams within this area research, design, and develop new technologies to make user interaction with computing faster and more seamless, building innovative experiences for users worldwide.,

Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models; utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in the cloud (AWS, Azure, or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyze the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP (Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus Location - Mumbai , Pune, Bangalore, Chennai and Noida Mandatory Key Skills Model Context Protocol,AWS,Azure,GCP,LLM models,OpenAI studio,CrewAI,LangGraph,Gen AI*

Job Description: As a software engineer at Google, you will be developing next-generation technologies that impact billions of users worldwide. Your role will involve working on critical projects that cater to Google's evolving needs, with the opportunity to transition between teams and projects as the business grows. We are seeking versatile engineers with leadership qualities who are eager to tackle new challenges across the full-stack to drive technological advancements. Responsibilities: - Work on ambient related areas foundational for Aura within the AirStream team. - Develop production capabilities for seamless and high-performance interaction between on-device, cloud LLMs, or LLMs in a private environment. - Lead the productionization of horizontal technology by establishing infrastructure and pathways, managing customer onboarding, and facilitating the upstreaming of user feedback and data to AI Innovation and Research (AIR) and Google DeepMind (GDM) teams for Hybrid, in-context learning, Nano, and Private Inference. - Drive the productionization of architecture that seamlessly spans devices and servers, while remaining adaptable to various compute and power capabilities. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 8 years of experience in software development. - 5 years of experience leading ML design and optimizing ML infrastructure. - 5 years of experience in Speech/audio, reinforcement learning, ML infrastructure, or another ML field. - 5 years of experience testing and launching software products. - 3 years of experience with software design and architecture. Preferred Qualifications: - Master's degree or PhD in Engineering, Computer Science, or a related field. - 8 years of experience with data structures and algorithms. - 3 years of experience in a technical leadership role. - 3 years of experience working in a complex, matrixed organization involving cross-functional projects. (Note: Additional details about Google and the Platforms and Devices team have been omitted from the job description.),

As a software engineer at Google, you will be working on developing next-generation technologies that impact billions of users worldwide. Your role will involve handling information at a massive scale and contributing to various areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. Google values fresh ideas and encourages engineers to be versatile, show leadership qualities, and be eager to tackle new challenges across the full-stack. Key Responsibilities: - Design and implement scalable AI solutions for Google's enterprise functions using enterprise AI best practices. - Collaborate with ML engineers and leads to develop reusable enterprise AI primitives. - Drive innovation in AI solutions to enhance Google's business functions. - Work closely with Product Managers and User Experience teams to define product roadmap and new feature scope. - Mentor junior engineers and contribute to the technical direction of the team. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 8 years of experience in software development. - 5 years of experience in Machine Learning, NLP, etc., and launching software products. - 3 years of experience with software design and architecture. - 8 years of experience with data structures and algorithms. - Experience working collaboratively with partner teams such as Product Managers and other Engineering teams. - Experience as a technical lead. - Experience using Google Cloud Platform (GCP) or other Cloud services. - Software development experience in two or more general-purpose programming languages, including in back-end programming.,

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that impact billions of users worldwide. Your responsibilities will include writing product and system development code, collaborating with peers and stakeholders to ensure best practices, contributing to documentation and educational content, and resolving product or system issues through thorough analysis and debugging. You will also have the opportunity to work on specialized machine learning areas, utilize machine learning infrastructure, and contribute to model optimization and data processing. To qualify for this role, you should have a Bachelor's degree or equivalent practical experience, along with at least 2 years of experience in software development using one or more programming languages. Additionally, you should have 1 year of experience in speech/audio technology, reinforcement learning, ML infrastructure, or another ML field. Experience in artificial intelligence, software engineering, machine learning, and data analysis is also required. Preferred qualifications for this position include a Master's degree or PhD in Computer Science or related technical fields, 2 years of experience with data structures or algorithms, experience in developing accessible technologies, and familiarity with large language models. Join us at Google and be part of a dynamic team that is constantly pushing technology forward to create innovative experiences for users around the world.,

As a Data Scientist specializing in Natural Language Processing (NLP) at Schneider Electric, you will be responsible for developing and deploying innovative NLP solutions in an enterprise setting. You will be a key player in exploring various NLP topics such as text classification, sentiment analysis, and question answering. Your expertise in NLP techniques and frameworks will be crucial in designing and implementing proof of concepts (POCs) and end-to-end solutions using OpenAI LLMs and other open-source LLMs. Your role will involve optimizing and fine-tuning the performance of LLMs through prompt engineering and RAG-based methods to ensure the highest level of accuracy and efficiency. Additionally, you will be required to deploy and monitor NLP models and applications in production environments, communicating results and insights to internal and external stakeholders effectively. Collaboration with other AI team members and stakeholders is essential to understand requirements, propose solutions, and deliver high-quality results. Your excellent communication skills will enable you to present solutions clearly and concisely to business partners. Staying updated with the latest developments and trends in NLP and LLMs will be crucial to driving innovation and excellence in your role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. A minimum of 6-8 years of experience in data science, machine learning, or NLP is required, with a focus on unstructured data analytics. Proficiency in Python and common NLP libraries such as NLTK, spaCy, and transformers is essential, along with familiarity with cloud platforms like Azure and NLP frameworks such as Hugging Face and AllenNLP. Preferred qualifications include experience with analytics, data science, statistical methodologies, data management, and analytical tools. Strong analytical and problem-solving skills, along with excellent written and verbal communication skills, are highly desirable. Experience working in an enterprise setting and leadership skills to motivate a team will be advantageous in this role. If you are passionate about making an impact with your career and want to contribute to sustainability ambitions through automation, electrification, and digitization, Schneider Electric invites you to become an IMPACT Maker. Join us in creating a more resilient, efficient, and sustainable world by applying online today. Please note that all positions at Schneider Electric require an online application for consideration, and this position will be open until filled. Schneider Electric is committed to fostering an inclusive and caring work environment where every employee feels valued and safe to contribute their best. Our core values of ethics, compliance, and trust guide our actions and interactions with all stakeholders, reflecting our commitment to championing inclusivity and trust in everything we do.,

As a software engineer at Google, you will be part of a dynamic team developing cutting-edge technologies that impact how billions of users connect, explore, and interact with information. Our products operate at a massive scale and involve a wide range of technical areas including information retrieval, distributed computing, system design, networking, security, artificial intelligence, UI design, and more. You will have the opportunity to work on projects critical to Google's needs, with the flexibility to switch teams and projects as the business evolves. We are looking for engineers who are versatile, demonstrate leadership qualities, and are eager to tackle new challenges across the full technology stack. The Technical Infrastructure team at Google plays a crucial role in ensuring the seamless operation of our products. From managing data centers to developing the next generation of platforms, our team is dedicated to supporting Google's product portfolio. We take pride in being the engineers" engineers, continuously pushing the boundaries of technology to provide our users with the best possible experience. In this role, you will be responsible for writing product or system development code, participating in design reviews, providing feedback on code quality, contributing to documentation and educational content, and troubleshooting and resolving product issues. Your technical expertise will be vital in managing project priorities, deadlines, and deliverables, as well as in designing, developing, testing, deploying, and enhancing software solutions. Google Cloud is at the forefront of digital transformation, offering enterprise-grade solutions powered by Google's innovative technology and tools. As a trusted partner for customers worldwide, Google Cloud enables organizations to grow and address their most critical business challenges. If you have a Bachelor's degree or equivalent practical experience, along with 2 years of software development experience in one or more programming languages (or 1 year with an advanced degree), and preferably a Master's degree or PhD in Computer Science or related field, we invite you to join our team. Experience with front-end frameworks, full-stack development, API development, data structures, algorithms, and accessible technologies will be advantageous in this role.,

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. Whats 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 Were 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 Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe 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: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. 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 PerksIts 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 awardssmall 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 andengaged 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 to EEO.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) Location - Hyderabad,Ahmedabad,Noida,Uttarpradesh,Gurugram

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive 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 be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe 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: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. 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 PerksIts 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 awardssmall 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 andengaged 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. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- 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 to EEO.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 EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive 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 be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe 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: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. 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 PerksIts 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 awardssmall 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 andengaged 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. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- 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 to EEO.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 EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive 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 be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe 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: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. 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 PerksIts 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 awardssmall 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 andengaged 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. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- 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 to EEO.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)

Big picture: Understand customers needs and innovate and use cutting-edge Machine Learning techniques to build data-driven solutions. Work on NLP problems across areas such as text classification, entity extraction, summarisation, generative NLP, and others. Collaborate with cross-functional teams to integrate/upgrade AI solutions into company s products and services Optimise existing machine learning models for performance, scalability and efficiency. Build , deploy and own scalable production NLP pipelines. Build post-deployment monitoring and continual learning capabilities. Propose suitable evaluation metrics and establish benchmarks. Keep abreast of SOTA techniques in your area and exchange knowledge with colleagues. Desire to learn, implement and apply latest emerging model architectures (like LLMs), inference optimizations, distributed training, using open-source models, etc. Well love to explore more about you if you have: Bachelors in Computer Science or mathematics-related fields with 2+ years of experience in Machine Learning and NLP. Proficient in Python, NLP knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc. Knowledge and experience with data engineering, basic machine learning concepts, data mining, feature extraction, pattern recognition, etc. Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, GPT, Llama, Gemma, DeepSeek, etc. Deep familiarity with Model Training concepts, model inference optimisations, GPUs, etc. Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, transformers, etc. Experience with ML model deployments using REST API, Docker, Kubernetes, etc. Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable. Knowledge of basic Data Structures and Algorithms. Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus.

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive 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 be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe 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: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. 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 PerksIts 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 awardssmall 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 andengaged 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. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- 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 to EEO.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)

As a software engineer at Google, you will be responsible for developing the next-generation technologies that impact how billions of users connect, explore, and interact with information and one another. Your role will involve working on projects critical to Google's needs, with the opportunity to switch teams and projects as the business evolves. We are looking for individuals who can bring fresh ideas from various areas including information retrieval, distributed computing, system design, networking, security, artificial intelligence, UI design, and mobile applications. Your primary responsibilities will include writing and testing product development code, reviewing code developed by other engineers, and providing feedback to ensure best practices are followed. You will contribute to existing documentation and educational content, adapting it based on product updates and user feedback. Additionally, you will be involved in triaging product issues, debugging, tracking, and resolving them by analyzing their sources and impact on hardware, network, or service operations. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. As part of the team at Google Ads, you will be contributing to the development of technologies that power the open internet and create value for users, publishers, advertisers, and Google. This includes working on advertising products such as search, display, shopping, travel, and video advertising, as well as analytics. We are looking for candidates with a Bachelor's degree or equivalent practical experience and at least 5 years of experience in software development using various programming languages and data structures/algorithms. Additionally, you should have 3 years of experience in testing, maintaining, or launching software products, and 1 year of experience in software design and architecture. Experience with Android application development is also required. Preferred qualifications include a Master's degree or PhD in Computer Science or a related technical field, along with experience in performance analysis, large-scale systems, data visualization tools, debugging, and technical leadership roles. Experience in developing accessible technologies is also valued. Join us at Google and be part of a team that is committed to pushing technology forward, creating trusted experiences between people and businesses, and enabling businesses of all sizes to grow with effective advertising tools.,

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that revolutionize how billions of users worldwide connect, explore, and engage with information and each other. Our products operate at an immense scale and transcend the boundaries of traditional web search. We are seeking innovative engineers with diverse backgrounds in fields such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, UI/UX design, and mobile technologies. In this dynamic role, you will be tasked with working on specific projects that are integral to Google's ongoing success, with the flexibility to transition between teams and projects as our rapidly evolving business landscape demands. We value engineers who demonstrate adaptability, leadership skills, and a passion for solving complex challenges across the entire technology stack as we drive innovation forward. Your technical expertise will be essential for managing project timelines, priorities, and deliverables. You will be responsible for the end-to-end software development lifecycle, including designing, coding, testing, deploying, maintaining, and enhancing software solutions. You will also collaborate with cross-functional teams to drive product and system development, and contribute to design reviews to select the most suitable technologies. Furthermore, you will be involved in reviewing code developed by your peers, providing constructive feedback to ensure adherence to best practices such as style guidelines, code quality, and efficiency. Your role will also entail contributing to documentation and educational materials, tailoring content based on product updates and user feedback. Additionally, you will be responsible for triaging and resolving product or system issues by conducting thorough analyses to identify and address underlying causes. Join us at Google Cloud, where we empower organizations globally to embark on digital transformation journeys. Our enterprise-grade solutions harness Google's advanced technology and tools to enable developers to build sustainable solutions. Clients in over 200 countries rely on Google Cloud as their strategic partner to drive growth and address critical business challenges. If you are a passionate software engineer with a strong foundation in software development, a keen interest in data structures and algorithms, and experience in areas such as code and system health, software testing, and accessible technologies, we invite you to be part of our innovative team at Google. Embrace this opportunity to make a meaningful impact on the world through technology.,

You should have a Bachelor's degree or equivalent practical experience along with 8 years of experience in software development using programming languages like Java, Kotlin, Swift, or Obj-C. Additionally, you should possess at least 7 years of experience in iOS software development and 3 years in a technical leadership role overseeing projects. In this role, you will collaborate effectively with various teams and functions, communicate cross-functionally, and possess excellent verbal and written communication skills. People management skills, investigative skills, motivating team members, and shaping team culture are also preferred qualifications. As a software engineer at Google, you will be working on cutting-edge technologies that impact billions of users worldwide. The projects you will be involved in require handling information at a massive scale and go beyond traditional web search. Google is seeking engineers who can contribute fresh ideas from various domains such as information retrieval, distributed computing, system design, networking, security, AI, UI design, and mobile development. The Google Home App (GHA) team is dedicated to building an innovative smart home app that provides powerful and intuitive experiences across different devices. As an iOS Tech Lead, you will leverage your technical expertise to optimize performance, maintain critical infrastructure, contribute to feature development, conduct design reviews, and establish best practices that enhance the app's overall quality. Your responsibilities will include influencing technical direction for key projects related to Google Home, reviewing designs and code in Objective-C, actively participating in architecture and design discussions, driving the technical roadmap for Home Apps infrastructure, advocating for tech debt elimination and scalable system architecture, and promoting testing and quality best practices throughout the organization.,

As a Software Engineering Manager at Google, you will need a Bachelor's degree or equivalent practical experience along with 8 years of software development experience in programming languages such as Python, C, C++, Java, JavaScript. Additionally, you should have 3 years of experience in a technical leadership role, overseeing projects, with 2 years of experience in people management or supervision/team leadership. Preferred qualifications include a Master's degree or PhD in Computer Science or a related technical field and 3 years of experience working in a matrixed organization. In this role, you will play a crucial part in managing a team of Engineers, providing technical leadership to major projects, and ensuring optimization of code. Your responsibilities will include setting and communicating team priorities, aligning strategy and decision-making across teams, setting clear expectations with individuals, developing a technical vision and roadmap, designing systems, and reviewing code developed by other engineers. The scope of your work will involve working in various areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, and user interface design. You will guide engineers across multiple teams and locations, manage a large product budget, and oversee the deployment of large-scale projects across multiple sites internationally. As part of the Android and Mobile team at Google Play, you will contribute to shaping product strategy, engineering backend systems, and forming content partnerships to enhance the Android ecosystem. Working with Google Play allows you to be a part of a team that offers music, movies, books, apps, and games for devices powered by the cloud, syncing across devices and on the web. In summary, as a Software Engineering Manager at Google, you will have the opportunity to lead and inspire a team of engineers, contribute to product strategy, and play a significant role in the development and optimization of various technical projects within the company.,

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that revolutionize how billions of users interact with information and each other. Your responsibilities will involve handling information at a massive scale and contributing to various areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. You should have a Bachelor's degree or equivalent practical experience, along with at least 2 years of software development experience in one or more programming languages. Alternatively, you can qualify with 1 year of experience coupled with an advanced degree. Additionally, 2 years of experience with data structures or algorithms in an academic or industry setting, particularly in Android application development, is required. Preferred qualifications include a Master's degree or PhD in Computer Science or a related field, alongside 2 years of experience in performance analysis, system data visualization, debugging, and developing accessible technologies. Proficiency in code and system health, diagnosis, resolution, and software test engineering is also valued. As part of the Platforms and Ecosystems product area, you will work on Google's computing software platforms, creating innovative solutions that cater to enterprises and end-users globally. Your role will involve managing project priorities, deadlines, and deliverables, as well as designing, developing, testing, deploying, maintaining, and enhancing software solutions. Key responsibilities include writing product or system development code, reviewing code from other engineers to ensure best practices, contributing to documentation and educational content, and triaging product issues. You will also participate in design reviews and guide peers and stakeholders in selecting technologies for various projects. Overall, Google is seeking versatile software engineers who demonstrate leadership qualities and enthusiasm for tackling new challenges across the full stack, as the company continues to drive technological advancements forward.,

You are a strategic thinker passionate about driving solutions in analytics and intelligence products. You have found the right team. As a Vice President Analytics & Applied AI/ML Scientist Product Owner within our Sales Enablement Product team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment. You will develop requirements and work closely with application and data engineering teams to design and deliver intelligence products such as Search and Personalization. You will be a thought partner to product leaders for analyzing AI/ML use cases, transforming business requirements into AI/ML specifications, determining high-level data needs, defining milestones, and ensuring timely delivery. Understanding business processes, end-user Jobs to be Done, and driving product instrumentation efforts and analytics to enable data-driven product and design decisions will be a key part of your role. Your responsibilities will also include designing and implementing highly scalable and reliable data processing pipelines, performing analysis and insights to drive and optimize business results. You will need to exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Helping team members enhance their skills by providing guidance on ML via knowledge-sharing sessions and contributing back to firmwide Machine Learning communities will be crucial. Required qualifications include formal training or certification on software engineering concepts and 5+ years of applied experience. At least 10 years of experience (BE/B.Tech)/ 8 years (ME/MS), or 5 years (PhD) degree in Computer Science, Statistics, Mathematics, or Machine Learning is required. Strong programming knowledge of Python, Spark, and a strong grasp on vector operations are essential. Experience as a hands-on practitioner developing strategic roadmap, deployment of robust and scalable AI/ML/Data Science solutions and products is necessary. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics, AI/ML/Data Science techniques, both exploratory and in production is expected. You should have the ability to set the analytical direction for projects, transforming vague business questions into structured analytical solutions. Product management experience in personalization, advertising, feeds and ranking optimization, user-facing optimization, AI-driven products and features, agentic workflows is beneficial. Preferred qualifications include experience in machine learning frameworks such as TensorFlow, PyTorch, pyG, Keras, MXNet, Scikit-Learn. Demonstrated expertise in machine learning frameworks and experience in Natural Language Processing (NLP) or Large Language Models (LLM), or Computer Vision and other machine learning techniques, including classification, regression algorithms is advantageous. Experience in using GenAI to solve business problems and training/inference/ML ops on public cloud AWS is a plus. Knowledge of Sales CRM is also a valuable asset.,

The software engineer role at Google requires a Bachelor's degree or equivalent practical experience, along with at least 2 years of software development experience in one or more programming languages, or 1 year of experience with an advanced degree. Additionally, candidates should have 2 years of experience with data structures or algorithms in an academic or industry setting, as well as 2 years of experience with Android application development. Proficiency in Software Engineering, Mobile App Development, Kotlin, and Java is also essential. Preferred qualifications include a Master's degree or PhD in Computer Science or a related technical field, experience in developing accessible technologies, and familiarity with Java, Kotlin, Web Development, and Mobile App Development. As a software engineer at Google, you will be involved in developing cutting-edge technologies that impact billions of users worldwide. The role requires working on projects critical to Google's needs, with opportunities to switch teams and projects as the business continues to grow and evolve. Versatility, leadership qualities, and a passion for tackling new challenges across the full-stack are highly valued in this fast-paced environment. The Platforms and Ecosystems product area focuses on Google's computing software platforms across various environments, providing enterprises and end users with the ability to manage services at scale. The team builds innovative software products that range from apps to TVs, laptops to phones, impacting lives globally. Key responsibilities for this role include writing product or system development code, reviewing code developed by peers, contributing to documentation and educational content, triaging product issues, and participating in design reviews with peers and stakeholders to make decisions on available technologies.,

As a Software Engineering Manager at Google, you will need a Bachelor's degree or equivalent practical experience, along with 8 years of software development experience in programming languages such as Python, C, C++, Java, or JavaScript. In addition, you should have at least 3 years of experience in a technical leadership role, overseeing projects, and 2 years of experience in people management or team leadership. Preferred qualifications for this role include a Master's degree or PhD in Computer Science or a related technical field, as well as 3 years of experience working in a complex, matrixed organization. In this role, you will go beyond just Search and contribute to projects in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, and more. Your responsibilities will include managing project goals, contributing to product strategy, and developing your team of Engineers. You will oversee the deployment of large-scale projects across multiple sites internationally, manage engineers across multiple teams and locations, and work with a large product budget. As part of the Android and Mobile team at Google Play, you will play a key role in offering music, movies, books, apps, and games for devices powered by the cloud. Your work will involve engineering backend systems, shaping product strategy, and forming content partnerships to enhance the Android ecosystem and reach millions of users. Your responsibilities will include hiring and growing team members, guiding technical directions, defining product areas with cross-functional stakeholders, and delivering business impact with user and revenue growth through the Web Games Store for users on PC and other devices. You will partner with stakeholders to build product vision roadmaps, set priorities, and oversee execution for the team. Additionally, you will lead the team in building and improving the Web infrastructure and analytics to enable more Play products on the Web, ensuring data retention compliance and privacy features for legal compliance. Your role will involve growing engineering teams to deliver business impact effectively.,

As a software engineer at Google, you will be part of a team that develops cutting-edge technologies to revolutionize how billions of users worldwide connect, explore, and engage with information and each other. The scope of our projects extends far beyond web search, requiring our products to handle vast amounts of data and innovate in various domains such as distributed computing, networking, security, artificial intelligence, and more. In this role, you are expected to bring fresh perspectives and expertise in areas like information retrieval, large-scale system design, mobile development, and UI design. Your work will be crucial to Google's operations, with the opportunity to collaborate on diverse projects and switch between teams as the business evolves. We value engineers who demonstrate versatility, leadership skills, and a passion for tackling complex challenges across the entire technology stack. Your responsibilities will involve managing project timelines, designing and developing software solutions, ensuring quality through testing and maintenance, and continuously improving existing systems. You will have the chance to work on critical projects that align with Google's objectives and contribute to enhancing the overall user experience. Google Play, a platform that offers a wide range of digital content such as music, movies, apps, and games, plays a significant role in the Android ecosystem. As part of the Android and Mobile team, you will collaborate with colleagues to engineer backend systems, shape product strategies, and establish valuable partnerships to provide users with seamless access to content across multiple devices. Key responsibilities include: - Writing code for product and system development. - Reviewing code created by peers and offering constructive feedback to ensure adherence to best practices. - Contributing to documentation and educational materials, adjusting content based on user feedback and product updates. - Identifying, debugging, and resolving product or system issues by analyzing their sources and impact. - Leading or participating in design reviews with stakeholders to evaluate available technologies and make informed decisions. If you have a Bachelor's degree or equivalent practical experience, along with a background in software development, data structures, Android application development, and other relevant areas, and you are passionate about driving innovation in a fast-paced environment, we encourage you to apply and be part of our dynamic team at Google.,

Senior Engineer-NLP: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance. About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA) . What you will be doing at Evalueserve Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time. What were Looking for At least a bachelors / master`s degree in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement About 4-6 years of experience in NLP, ML, and DL More than one year of experience in generative AI application development at the production level. Demonstrated ability in developing NLP / ML / DL / generative AI project solutions. Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Hugging face Transformers. Expert-level programming experience in Python / C++ Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely Understanding of the cultural differences and work styles in a global environment. Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about ho w Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer : The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.

Lead Engineer- NLP: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time. What were Looking for At least a bachelors / master`s degree in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement. About 8-12 years of experience in NLP, ML, and DL More than one year of experience in generative AI application development at the production level. Demonstrated ability in developing NLP / ML / DL / generative AI project solutions. Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Hugging face Transformers. Expert-level programming experience in Python / C++ Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely Understanding of the cultural differences and work styles in a global environment. Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about ho w Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. 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NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training Large Language Models (LLMs) and implementing workflows based on Retrieval-Augmented Generation (RAG). As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of NVIDIAs generative AI technologies. This position requires a deep understanding of language models, particularly LLMs, and a strong proficiency in designing and implementing RAG-based workflows. What you will be doing Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows. Collaborate closely with customers to understand their language-related business challenges and design tailored solutions. Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of LLM and RAG capabilities. Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI technologies. Engage directly with customers to understand their language-related requirements and challenges. Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and RAG workflows and l ead the training and optimization of Large Language Models using NVIDIA s hardware and software platforms. Implement strategies for efficient and effective training of LLMs to achieve optimal performance. Design and implement RAG-based workflows to enhance content generation and information retrieval. Work closely with customers to integrate RAG workflows into their applications and systems and s tay abreast of the latest developments in language models and generative AI technologies. Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions. What we need to see Masters or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience 5+ years of hands-on experience in a technical role, specifically focusing on generative AI, with a strong emphasis on training Large Language Models (LLMs). Proven track record of successfully deploying and optimizing LLM models for inference in production environments. In-depth understanding of state-of-the-art language models, including but not limited to GPT-3, BERT, or similar architectures. Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs. Strong knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference. Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences. Ways to stand out from the crowd Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure. Proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts. Hands-on experience with NVIDIA GPU technologies, and GPU cluster management and ability to design and implement scalable and efficient workflows for LLM training and inference on GPU clusters With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If youre a creative and autonomous engineer with a real passion for technology, we want to hear from you!