200 Information Retrieval Jobs - Page 7

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead AI/ML Engineer within our Asset and Wealth management, you will be instrumental in the design, development, and deployment of state-of-the-art AI solutions. Your role will involve collaborating with various teams to create AI applications tailored to specific product requirements, with a focus on natural language processing, information extraction, information retrieval, large language models, and both supervised and unsupervised machine learning techniques. Your expertise in Python and familiarity with the latest AI technologies will be crucial in steering our projects towards success. This role is in our Bangalore, India technology center. Job responsibilities Lead the design and implementation of AI/ML models, with a focus on natural language processing, information extraction, information retrieval, large language models, and both supervised and unsupervised machine learning techniques. Develop and maintain production-ready code, ensuring high quality through unit testing and code reviews. Collaborate with product managers and stakeholders to align AI solutions with business objectives and product goals. Stay abreast of the latest advancements in AI/ML technologies, including large language models and machine learning techniques, and integrate relevant innovations into our projects. Benchmark AI systems, including large language models, to ensure optimal performance and scalability. Mentor and guide junior engineers, fostering a collaborative and inclusive team environment. Drive the AI development lifecycle from ideation to deployment, ensuring timely and successful project delivery. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Proven experience in AI/ML engineering, with a strong focus on Python development. In-depth knowledge of natural language processing, large language models, supervised and unsupervised machine learning, and the AI development lifecycle. Demonstrated ability to write clean, efficient, and production-ready code. Experience with unit testing in Python and familiarity with AI benchmarking techniques. Entrepreneurial mindset with a product-driven approach to AI development. Strong problem-solving skills and the ability to work independently and collaboratively. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Preferred qualifications, capabilities, and skills Familiarity with cloud platforms Experience in AI monitoring tools and methodologies We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead AI/ML Engineer within our Asset and Wealth management, you will be instrumental in the design, development, and deployment of state-of-the-art AI solutions. Your role will involve collaborating with various teams to create AI applications tailored to specific product requirements, with a focus on natural language processing, information extraction, information retrieval, large language models, and both supervised and unsupervised machine learning techniques. Your expertise in Python and familiarity with the latest AI technologies will be crucial in steering our projects towards success. This role is in our Bangalore, India technology center. Job responsibilities Lead the design and implementation of AI/ML models, with a focus on natural language processing, information extraction, information retrieval, large language models, and both supervised and unsupervised machine learning techniques. Develop and maintain production-ready code, ensuring high quality through unit testing and code reviews. Collaborate with product managers and stakeholders to align AI solutions with business objectives and product goals. Stay abreast of the latest advancements in AI/ML technologies, including large language models and machine learning techniques, and integrate relevant innovations into our projects. Benchmark AI systems, including large language models, to ensure optimal performance and scalability. Mentor and guide junior engineers, fostering a collaborative and inclusive team environment. Drive the AI development lifecycle from ideation to deployment, ensuring timely and successful project delivery. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Proven experience in AI/ML engineering, with a strong focus on Python development. In-depth knowledge of natural language processing, large language models, supervised and unsupervised machine learning, and the AI development lifecycle. Demonstrated ability to write clean, efficient, and production-ready code. Experience with unit testing in Python and familiarity with AI benchmarking techniques. Entrepreneurial mindset with a product-driven approach to AI development. Strong problem-solving skills and the ability to work independently and collaboratively. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Preferred qualifications, capabilities, and skills Familiarity with cloud platforms Experience in AI monitoring tools and methodologies

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 : 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 toolsDocker, Airflow, Kubernetes, Redis, Flask/Django/FastAPI, PySpark, 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): 10 The Team The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact Design solutions utilizing NLP models including chat assistants and RAG systems. Design and develop custom NLP LLM Models including both prompt engineering techniques and model fine-tunning and alignment (SFT, RLHF, DPO) NLP Model evaluation using both human-supported and synthetic evaluation methods and metrics. Deploy NLP models ensuring latency, reliability, and scalability. Discover new methods for prompt engineering, model fine-tuning, quantization and latency optimization, document embeddings and chunking. Collaborate closely with product teams, business stakeholders, and engineers to ensure smooth integration of NLP models into production systems. Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. Actively research, explore and identify the latest relevant methods and technologies What Were Looking For : Basic Required Qualifications : Degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Good understanding ofmachine learning and deeplearningmethods and their mathematical foundations 5-8 years of professional experience in Advanced Analytics / Data Science / Machine Learning 5-8 years hands-on experience developing NLP models, ideally with transformer architectures. Demonstrated experience with Python, PyTorch, Hugging Face or similar tools. Mastery of Python and ability to write robust and high standard, testable code Knowledge of developing or tuning LLMS Additional Preferred Qualifications 3+ years of experience with implementing information retrieval systems. Experience with contributing to Open Source initiatives or in research projects and/or participation in Kaggle competitions. Publications related to Machine Learning or Deep Learning Ability to work in a team Able to report progress and summarize issues to a less technical audience Curious and open-minded attitude to new approaches About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, andmake decisions with conviction.For more information, visit www.spglobal.com/marketintelligence . 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 ----------------------------------------------------------- , SWP Priority Ratings - (Strategic Workforce Planning)

we're a dynamic and innovative company at the forefront of AI development, and we're looking for a talented Python Developer to join us on our exciting journey. you'll be working on cutting-edge projects, leveraging your expertise in AI frameworks, LLMs, and vector databases to build truly transformative solutions. What you'll Be Doing: Building the Future: Design, develop, and deploy AI-powe'red applications using Python, GPT, LangChain, RAG, and AutoGen. LLM Mastery: Fine-tune and optimize Large Language Models to achieve exceptional performance and accuracy. Vector Database Expertise: Work with Pinecone and FAISS to build efficient and scalable vector search solutions. Generative AI Innovation: Explore and implement creative applications of Generative AI. Cloud Deployment: Deploy and manage your applications in cloud environments (AWS, GCP, Azure). API Development: Create and consume APIs (REST, GraphQL) to integrate AI solutions with other systems. Prompt Engineering: Craft effective prompts to guide LLMs towards desired outcomes. Model Deployment: Put your models into production, and make them available to the world. Quality Assurance: Ensure the reliability and performance of your code through rigorous testing. Collaborate and Innovate: Work closely with a team of passionate engineers and researchers to bring groundbreaking ideas to life. What we're Looking For: Strong Python development skills with 4-6 years of experience. Deep understanding of AI/ML concepts, including NLP, Information Retrieval, and Recommender Systems. Hands-on experience with GPT, LangChain, RAG, AutoGen, and vector databases (Pinecone, FAISS). Proven expertise in Generative AI and fine-tuning LLMs. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Familiarity with API development (REST, GraphQL). A passion for learning and exploring new AI technologies. Strong testing skills. Experience with Data Science and Data Engineering concepts. Prompt engineering skills.

Req ID: 323701 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Gen AI Lead Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Duties: Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Apply statistical skills and advanced statistical techniques and concepts. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras. Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries. Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights. Work closely with customers to understand their requirements and deliver customized AI solutions. Interact at appropriate levels to ensure client satisfaction and project success. Communicate complex technical concepts clearly to non-technical audiences. Conduct training sessions to enhance overall data science skills within the organization Build solutions for Private AI and Smart Agentic Solutions Minimum Skills Required: 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions 8+ year(s) of experience participating in projects that focused on one or more of the following areas: o Predictive Analytics o Data Design o Generative AI o AI/ML o ML Ops 3+ years of experience using Python. Ability to travel at least 25%. Bachelor s Degree required.

Req ID: 323766 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Gen AI Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Duties: Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence Apply statistical skills and advanced statistical techniques and concepts. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks (Langchain and LlamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.). Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras. Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries. Contribute to the development of frameworks, capabilities, and features for NTT DATA s global GenAI platform and TechHub. Work on RAG models to enhance AI solutions by incorporating relevant information retrieval mechanisms. Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights. Collaborate with data science teams to build, tune, and iterate on machine learning models and prompts. Work closely with customers to understand their requirements and deliver customized AI solutions. Interact at appropriate levels to ensure client satisfaction and project success. Communicate complex technical concepts clearly to non-technical audiences. Preferred experience in Private AI and Smart Agent Solutions Minimum Skills Required: 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions 5+ year(s) of experience participating in projects that focused on one or more of the following areas: o Predictive Analytics o Data Design o Generative AI o AI/ML o ML Ops 3+ years of experience using Python. Ability to travel at least 25%. Bachelor s Degree required.

Apple is where individual imaginations come together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you ll do more than join something you ll add something. The Information Intelligence team is at the forefront of revolutionizing how billions of people interact with their devices to search and find what they are looking for. As a Senior Machine Learning Engineer, you play a critical role in developing world-class Search and Q&A experiences for Apple customers with cutting-edge search technologies and large language models. Description Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products including Siri, Safari, Spotlight, and more. This is your chance to shape how people get information by leveraging your Search and applied machine learning expertise along with robust software engineering skills. You will collaborate with outstanding Search and AI engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking, developing fundamental building blocks needed for AI powered experiences such as fine-tuning and reinforcement learning. This involves pushing the boundaries on document retrieval and ranking, developing sophisticated machine learning models, using embeddings and deep learning to understand the quality of matches. It also includes online learning to react quickly to change and natural language processing to understand queries. You will work with petabytes of data and combine information from multiple structured and unstructured sources to provide the best results and accurate answers to satisfy users information-seeking needs. Minimum Qualifications 10+ years experience in shipping Search and Q&A technologies and ML systems Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy Strong written and verbal communication with the ability to articulate complex topics Excellent interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others Passion for building phenomenal products and curiosity to learn Preferred Qualifications Background in Search Relevance and Ranking, Question Answering systems, Query Understanding, Personalization or Recommendation systems, or data-informed decision-making Hands-on experience in Retrieval Augmented Generation (RAG), including developing, evaluating and enhancing for both retrievers and generative LLMs Experience presenting plans, progress, and results or demos regularly and concisely MS or Ph.D in AI, Machine Learning, Information Retrieval, Computer Science, Statistics, or a related field

Apple is where individual imaginations come together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you ll do more than join something you ll add something. The Information Intelligence team is at the forefront of revolutionizing how billions of people interact with their devices to search and find what they are looking for. As a Machine Learning Engineer, you play a critical role in developing world-class Search and Q&A experiences for Apple customers with cutting-edge search technologies and large language models. Description Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products including Siri, Safari, Spotlight, and more. This is your chance to shape how people get information by leveraging your Search and applied machine learning expertise along with robust software engineering skills. You will collaborate with outstanding Search and AI engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking, developing fundamental building blocks needed for AI powered experiences such as fine-tuning and reinforcement learning. This involves pushing the boundaries on document retrieval and ranking, developing sophisticated machine learning models, using embeddings and deep learning to understand the quality of matches. It also includes online learning to react quickly to change and natural language processing to understand queries. You will work with petabytes of data and combine information from multiple structured and unstructured sources to provide best results and accurate answers to satisfy users information-seeking needs. Minimum Qualifications 7+ years experience in shipping Search and Q&A technologies and ML systems Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy Excellent communication skills and ability to work in a collaborative research environment Passion for building phenomenal products and curiosity to learn Preferred Qualifications Background in Search Relevance and Ranking, Question Answering systems, Query Understanding, Personalization or Recommendation systems, or data-informed decision-making Hands-on experience in Retrieval Augmented Generation, including developing, evaluating and enhancing for both retrievers and generative LLMs MS in AI, Machine Learning, Information Retrieval, Computer Science, Statistics, or a related field

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-powe'red 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-powe'red product capabilities, and working on both algorithms as we'll 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 we'll 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 bachelors or masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP. 3+ 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 (ie Meal card, PF, etc)

As a member of Amazons Global Retail Systems Development team, youll play a key role in solving complex technical challenges involving Large-scale computing, Distributed systems, Web applications, Data mining, Scalability, Security, and Algorithms. Innovation Are you seeking an environment where you can drive innovation? Do you want to apply state-of-the-art computer science and advanced information retrieval techniques to solve real-world business challenges? Does the challenge of building real-time, highly scalable solutions using innovative technology excite you? Opportunity To meet these challenges, the Amazon.com Retail Systems team is looking for passionate, talented and innovative software engineers for a new team that will be based in Bangalore. You are expected to solve complex problems at massive scale. You will build Interfaces that embrace the best practices of Usability, Accessibility, security and performance. You will build systems with robust design, and produce APIs that are intuitive. Come be part of this growing, dynamic and challenging space 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

Are you interested in improving the Digital Reading Experience. We are from Kindle Books Team looking for a Manager in Applied Science who will be managing the Applied Scientists. The team is looking to take the reading experience in Kindle to next level with a set of innovations! We are building a holistic team focused on leveraging advances in AI to improve the Reading experience for Kindle customers, and this role is specifically for a Manager, Applied Science who will focus on grooming the team, working with other science teams, influencing the product strategy & team vision and bringing the state-of the art innovations for improving Reading experience. The manager will be managing the Scientists to bring in state of the art solutions to improve Reading experience. You invent and design new solutions for scientifically-complex problem areas You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. You set standards and proactively drive components to use and improve on state-of-the-art techniques. You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. You hire, groom and grow Applied Scientists & ML engineers. 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

We are looking for a dynamic, self-starter Senior BIE for IES Shopping Analytics and Science Team (AST) to guide Amazon Bazaar program in India with analytics and data-driven insights. You will be working in one of the worlds largest and most complex data warehouse environments. You must have a track record of churning out insights and make actionable recommendations to audiences of varying technical aptitude that directly impact organizational strategic decisions and priorities. Being able to thrive in an ambiguous, fast-moving environment and prioritizing work is essential, as is a mind for innovation and learning through rapidly evolving and new technologies. This role provides an opportunity to develop original ideas, approaches, and solutions in a competitive and ever-changing business climate. Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership Share written recommendations and insights for key stakeholders that will help shape organizational strategic decisions and priorities Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems Simplify and automate reporting, audits, and other data-driven activities Partner with other BIEs to enhance data infrastructure, data availability, and broad access to customer insights Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation Learn new technology and techniques to meaningfully support internal stakeholders and process innovation About the team IES Shopping Analytics and Science Team (AST) has a vision to embed a data culture deeply in our IES Shopping Experience organization, fostering invention through insights, and building a robust data architecture to support business needs. We spin the insights flywheel by growing a pool of bar-raisers and diverse data professionals, which empowers us to continuously enhance our data capabilities, holistically covering disciplines of Data Engineering, Business Intelligence, Analytics, and Machine Learning. 10+ years of professional or military experience 8+ 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 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 Experience working as a BIE in a technology company Experience with AWS technologies Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.

As an AI Product Manager, you will oversee project delivery to ensure high quality and client satisfaction, manage client relationships, and lead high-performing teams, Tech Skills - Intermediate to advance knowledge in - AI systems, Integration of AI systems with workflows Gen AI technologies (Information retrieval, Summarization, Orchestration) and Agentic AI platforms Full-stack product design Project management methodologies and tools Probability and Statistics Practical Machine Learning, including key pitfalls and approaches to address them Deep Learning algorithms SQL and Python MS Office applications Excel and PowerPoint Non-Tech Skills - Strong business acumen with an ability to assess financial impact of decisions both in the operations of running the delivery team and in the context of delivering solutions to clients Ability to recognize pragmatic alternatives vis--vis a perfect solution and get the delivery teams on-board to pursue them, balancing priorities of time with potential business impact Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation Leadership and mentorship to the delivery team Ability to storyboard presentations effectively and hold conversations with senior executives in client businesses Self-driven with a strong sense of ownership Solution proposals, collaborating with growth, customer success and central solutioning functions Ability to hold conversations with senior and C-suite level executives in client businesses

Senior Analyst, Data Science Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Senior Analyst on our Data Science Team in Bangalore and Gurgaon. What you ll achieve Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data You will: Interact with business stakeholders, product managers, software engineers, data engineers, and data analysts to create data science products Write SQL queries, python scripts to clean, wrangle data from multiple sources making them model ready Use techniques which includes (but not limited to) Natural Language Processing, Machine Learning, Gen AI, Data Pipelining to build scalable models Build Data Pipelines & platform to operationalize the models at scale Become a subject matter expert of the data to create and refine features for modeling Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here s what we are looking for with this role: Essential Requirements Requires 2 + years of related experience in a professional role with a bachelor s degree; or 1 + years with a master s degree. Solid programming skills to retrieve, analyze and process data, and build machine learning models from the ground up (Python/R) Data Science Platforms like Domino Data Lab, Apache Airflow, AWS, and Google Cloud (working environment to build and deploy models) Machine Learning techniques like Ranking, Classification, Clustering, Regression and Topic Modeling , Deep learning, Neural networks and GEN AI Deep knowledge of machine learning, information retrieval, data mining, statistics, NLP, or related field Application closing date: 17th July 2025

We are looking for a Sr. Business Intelligence Engineer in the Amazon Grocery Data and Tech. As a Sr. Business Intelligence Engineer, you will be responsible for execution of rapidly evolving complex demands and own the product roadmap, design, development, testing, deployment and operations of multiple analytical solutions. As a Sr. BIE, you will mentor business intelligence engineers and provide leadership on complex technical, business and operational problems. You will be responsible for delivering some of our most strategic analytics initiatives. You will create insights that support all of Amazon s grocery businesses and have a significant impact on Amazon s top-line and competitive position. A successful candidate will bring deep technical expertise, strong business acumen and judgment, ability to define ground breaking products, desire to have an industry wide impact and ability to work within a fast-moving environment in a large company to rapidly deliver services that have a broad business impact. They will define metrics to measure business performance and drive efficiency improvements. About the team Amazon Grocery Data and Technology (GDT) team is the central data team for Amazon Grocery, consisting of engineering teams (BIEs/DEs/SDEs). We are the direct owner of (a) Infrastructure and services used for reading, processing, reporting and enrichment of grocery data; (b) Productivity tools; (c) Reporting solutions for worldwide 1P and 3P customers across the following businesses: Amazon Fresh Grocery (AFG), Whole Foods Market (WFM), Amazon Go, Amazon Grocery Partners, etc. 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

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.

Dear Candidate, We are seeking a Data Scientist Manager to lead a team in building advanced analytics solutions and machine learning models to support business decisions and innovation. Key Responsibilities: Guide the development of predictive models, data mining, and statistical analysis. Manage data science projects from concept to production deployment. Collaborate with stakeholders to define data-driven objectives and KPIs. Mentor junior data scientists and promote best practices in ML and AI. Ensure data governance, quality, and model explainability standards. Required Skills & Qualifications: Strong background in machine learning, statistics, and data science methodologies. Proficient in Python, R, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud-based analytics platforms (e.g., SageMaker, Azure ML). Leadership and project management experience. Advanced degree in Data Science, Computer Science, or a related field. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Position Summary... What youll do... About Team: Walmart s Enterprise Business Services (EBS) is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is EBS. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. What youll do: Through this role you have an opportunity to design and develop intuitive software that meets and exceeds the needs of the customer and the company. Architecture & Design Reviews and Code Reviews across teams. You also get to collaborate with team members to develop best practices and client requirements for the software. Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome products. In this role it would be important for you to professionally maintain all codes, best practices and create updates regularly to address the customer s and company s concerns You will show your skills in analyzing and testing programs/products before formal launch to ensure flawless performance Troubleshooting coding problems quickly and efficiently will offer you a chance to grow your skills in a high-pace, high-impact environment. Software security is of prime importance and by developing programs that monitor sharing of private information, you will be able to add tremendous credibility to your work You will also be required to seek ways to improve the software and its effectiveness. Participate in hiring and build teams enabling them to be high performing agile teams. You will be called upon to support the coaching and training of other team members to ensure all employees are confident in the use of software applications What youll bring: Bachelor s/Masters degree in Computer Science or related technical field. Minimum 9 years of object-oriented programming experience in Java, Spring boot, Microservices, React, NestJS, Node. Good understanding of Data Structures 8 years of experience in systems design, algorithms, and distributed systems. Have programming experience preferably in the Finance/ retail / ecommerce industry. Python knowledge would be an added advantage Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS Experience working in Agile Methodology Experience using CI/CD, tools for logging and metrics A continuous drive to explore, improve, enhance, automate and optimize systems and tools. Strong computer science fundamentals in data structures and algorithms Exposure to information retrieval, statistics, and machine learning. Excellent oral and written communication skills. Good analytical and problem-solving skills About Walmart Global Tech . . Flexible, hybrid work . Benefits . Belonging . . Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions - while being inclusive of all people. Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years experience in software engineering or related area.Option 2: 6 years experience in software engineering or related area. Preferred Qualifications... Master s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years experience in software engineering or related area

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Lucidworks Fusion Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with teams to ensure seamless integration and functionality of applications. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop and implement software solutions to meet business requirements.- Collaborate with cross-functional teams to ensure application integration.- Conduct code reviews and provide feedback for continuous improvement.- Stay updated with industry trends and technologies for enhancing applications.- Assist in troubleshooting and resolving application issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Lucidworks Fusion.- Strong understanding of search technologies and information retrieval.- Experience with search relevance tuning and query optimization.- Hands-on experience in developing and deploying search applications.- Knowledge of RESTful APIs and web services. Additional Information:- The candidate should have a minimum of 3 years of experience in Lucidworks Fusion.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About Amazon Regulatory Intelligence, Safety, and Compliance (RISC). Amazon RISC s vision is to make Amazon the Earth s most trusted shopping destination for safe and compliant products. Towards this mission, we take a science-first approach to building technology, products and services, that protect customers from unsafe, illegal, controversial, or policy-violating products while offering the optimal selling partner experience. Job Summary We are seeking an exceptional Data Scientist to join a team of experts in the field of AI/ML, and work together to tackle challenging business problems across diverse compliance domains. We leverage and train state-of-the-art multi-modal, large-language-models (LLMs), and vision language models (VLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for generative AI, agentic system, multi-modal classification, intent detection, information retrieval, anomaly and fraud detection. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of images, texts, documents, and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Design and evaluate state-of-the-art algorithms and approaches in generative AI, agentic system, multi-modal classification, intent detection, information retrieval, anomaly and fraud detection. Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact Key author in writing high quality scientific papers in internal and external peer-reviewed conferences. A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Writing science papers for submission to peer-review venues, and reviewing science papers from other scientists in the team. Contributing to team retrospectives for continuous improvements Driving science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists and engineers building AI/ML solutions to make Amazon the Earth s most trusted shopping destination for safe and compliant products. PhD, or Masters degree with 2+ years of machine learning experience, or bachelor degree with 3+ years of machine learning experience Experience programming in Python, Java, C++, or related language Experience with neural deep learning methods, LLM, and natural language processing Experience with conducting research in a corporate setting Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage risk models (including boosted trees and graph neural networks) as well as vision and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Explore and evaluate state-of-the-art algorithms and approaches in risk modeling and vision/language models Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact Evaluate model performance in production and refresh/implement necessary updates to maintain optimal system performance. A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Contributing to team retrospectives for continuous improvements Participating in science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists building AI/ML solutions to make Amazon Earth s most trusted shopping destination for safe and compliant products. 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage multi-modal and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Explore and evaluate state-of-the-art algorithms and approaches in multi-modal classification, large language models (LLMs), intent detection, information retrieval, anomaly and fraud detection, and generative AI Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Contributing to team retrospectives for continuous improvements Participating in science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists building AI/ML solutions to make Amazon Earth s most trusted shopping destination for safe and compliant products. 2+ years of data scientist experience 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products including Siri, Safari, Spotlight, and more. This is your chance to shape how people get information by leveraging your Search and applied machine learning expertise along with robust software engineering skills.You will collaborate with outstanding Search and AI engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking, developing fundamental building blocks needed for AI powered experiences such as fine-tuning and reinforcement learning. This involves pushing the boundaries on document retrieval and ranking, developing sophisticated machine learning models, using embeddings and deep learning to understand the quality of matches. It also includes online learning to react quickly to change and natural language processing to understand queries. You will work with petabytes of data and combine information from multiple structured and unstructured sources to provide best results and accurate answers to satisfy users information-seeking needs. 7+ years experience in shipping Search and Q&A technologies and ML systems Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy Excellent communication skills and ability to work in a collaborative research environment Passion for building phenomenal products and curiosity to learn Preferred Qualifications Background in Search Relevance and Ranking, Question Answering systems, Query Understanding, Personalization or Recommendation systems, or data-informed decision-making Hands-on experience in Retrieval Augmented Generation, including developing, evaluating and enhancing for both retrievers and generative LLMs MS in AI, Machine Learning, Information Retrieval, Computer Science, Statistics, or a related field

Level AI is a Series B funded Mountain View, CA-based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley, and industry experts. We are on a mission to revolutionize the customer sales experience for businesses. We are innovating in speech AI, NLP/NLU, and information retrieval systems to bring customers and businesses closer to one another.Our vision is to leverage AI and build tools that transform and elevate businesses. As our first focus, we have chosen to help contact centers achieve truly high standards through real-time quality assurance and agent assistance. As one of the critical members of the Level team your work will be new and of the highest impact to shape the future of AI in businesses. You will directly work with a small experienced team of technologists to identify and solve a new set of problems. The team has experience from Amazon Alexa, Facebook, and other leading AI organizations. You will have the freedom to pave a new path to achieve our mission. Roles and Responsibilities : Leads important, impactful, time-sensitive efforts to identify new business strategies and opportunities (e.g., new business models, growth initiatives, cost reduction strategies). Manages complex strategic, organizational, and operational initiatives. Leads end-to-end growth marketing initiatives, including digital campaign strategy, execution, measurement, and optimization. Conducts market research and competitive analysis to inform go-to-market planning, ICP segmentation, and channel prioritization. Develops scalable frameworks and automation to drive efficiency and prepare for broader strategic projects. Partners with business leaders in creating strategic initiatives and securing budgets for plans and projects on a wide range of strategic issues, including risk management and implementation tactics. Influences management by presenting compelling analyses and recommendations that build the business case for new strategic initiatives Requirements : 3+ years of relevant work experience in business strategy (Experience in technology and SaaS preferred). MBA or relevant bachelors from top tier colleges. Must have professional experience in business strategy, growth strategy and management or growth marketing role. Hands on experience in B2B growth marketing with familiarity in martech tools is a strong plusHave an extreme bias towards action.Solutions orientated within a high-energy and fast-paced work environment. Exceptional customer experience intuition; demonstrated success in creating innovative and user-friendly products and customer-facing features. Possess excellent written, verbal and interpersonal communication skills.

Senior Engineer-NLP: Elevate Your Impact Through 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. A bout 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 38 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 here 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 Huggingface 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 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 referencefor the tasks you may be required to perform. However, it does not constitutean integral component of your employment agreement and is subject to periodicmodifications to align with evolving circumstances.