6 Chunking Jobs

As a GenAI Technical Solutions Architect, your role involves developing and implementing architecture strategies for Gen AI to enhance AI ML model deployment and monitoring efficiency. You will focus on developing cutting-edge architectural strategies for Gen AI components and platforms, leading the implementation of LLM operations, and working closely with data scientists and AI professionals to drive digital transformation. Your responsibilities include: - Developing cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced techniques such as chunking, Retrieval-Augmented Generation (RAG), AI agents, and embeddings. - Leading working sessions for Arch Alignment, pattern library development, GEN AI Tools Data Architect alignment, and identifying components for reuse to save efforts, time, and money. - Leading the implementation of LLM operations to optimize model performance, scalability, and efficiency, and designing autonomous AI systems capable of complex decision-making and task execution. - Working closely with data scientists and AI professionals to identify and pilot innovative use cases aligned with business objectives and ROI. - Defining AI architecture, selecting suitable technologies, integrating RAG systems, embedding models, and LLM frameworks, and deciding on optimal deployment models. - Auditing AI tools and practices for continuous improvement, collaborating with security and risk leaders to ensure ethical AI implementation, and staying updated on AI regulations. You should have: - Proven track record in shipping products and developing Gen AI product architecture, with 10+ years of experience in AI and 5+ years in building NLP/AI software. - Demonstrated experience in delivering Gen AI products, deep familiarity with cloud technologies, proficiency in PyTorch, TensorFlow, Kubernetes, Docker, and experience deploying models using advanced LLM ops techniques. - Excellent communication and interpersonal skills, hands-on experience with chunking strategies, RAG implementation, and optimizing embedding models. Qualifications: - Bachelor's or master's degree in computer science, Data Science, or a related technical field. - Ability to translate complex technical concepts into actionable business strategies, strong communication skills, and a proven track record in managing and delivering AI/ML projects in large-scale enterprise environments.,

Senior Data Scientist - Information Retrieval & Generative AI Location: Remote (India) | Type: Full-time | Experience: 5-7+ years Transform How the World Discovers Information Join our AI revolution in transforming how billions discover and interact with information. As a Senior Data Scientist, youll architect next-generation search and retrieval systems that power intelligent experiences across our platform, directly impacting millions of users worldwide. The Challenge Design and deploy state-of-the-art RAG architectures processing petabyte-scale datasets. Build hybrid dense/sparse retrieval pipelines that serve millions of daily queries with sub- second latency. Your models will directly impact product strategy and drive measurable business outcomes for our global user base. • What Youll Do Strategic Leadership Drive end-to-end ML product development from research to production deployment Collaborate with engineering and product teams to translate business requirements into scalable data solutions Mentor junior data scientists and establish best practices for model development Lead breakthrough research in information retrieval and generative AI Technical Execution Design and optimize transformer-based architectures for information retrieval and generation Implement advanced chunking strategies for semantic search and RAG applications Build and maintain real-time ML pipelines processing millions of documents Develop production-ready models with proper monitoring, versioning, and deployment strategies Innovation & Research Research and prototype cutting-edge AI techniques in search, retrieval, and natural language processing Design large-scale experiments and A/B tests to validate model performance and business impact Stay current with latest developments in GenAI and contribute to open-source communities Present findings to executive leadership and influence strategic product decisions What Were Looking For Essential Skills ¢ ¢ ¢ ¢ ¢ Advanced Python Programming with expertise in pandas, scikit-learn, TensorFlow/PyTorch SQL & Database Management for complex query optimization and data pipeline design Machine Learning & Deep Learning with track record of shipping ML products to production Statistics & Probability including advanced statistical modeling and hypothesis testing 5-7+ years of data science experience with 2+ years in senior roles Specialized Expertise ¢ Information Retrieval Systems - Search algorithms, ranking, and relevance optimization ¢ ¢ Generative AI & LLMs - Prompt engineering, fine-tuning, and deployment at scale Content Chunking Strategies - Document processing and semantic segmentation for RAG systems ¢ ¢ Vector Databases - Hands-on experience with Pinecone, Weaviate, FAISS, or OpenSearch Transformer Models - Deep understanding of BERT, GPT, T5 architectures Advanced Technical Skills ¢ ¢ ¢ ¢ ¢ RAG (Retrieval-Augmented Generation) implementation and optimization Named Entity Recognition (NER) at enterprise scale Cloud platforms (AWS, Azure, GCP) for ML deployment MLOps tools and practices (Docker, Kubernetes, model registries) A/B testing and experimental design methodology Education & Experience ¢ Masters degree in Computer Science, Statistics, Mathematics, or related quantitative field ¢ ¢ Demonstrated experience with production ML systems serving millions of users Strong publication record or open-source contributions (preferred) Why Join Us? ¢ ¢ ¢ ¢ Cutting-edge Technology: Work with the latest in AI/ML, from transformer architectures to vector databases Global Impact: Your work will be used by millions of users across different continents Career Growth: Clear advancement paths with mentorship and leadership opportunities Innovation Freedom: 20% time for personal research projects and experimentation Our Interview Process 1. Recruiter Screen (30 min) - Background, motivation, and culture fit 2. Technical Screen (60 min) - Live coding in Python/SQL, ML fundamentals 3. Technical Deep Dive (90 min) - Advanced ML/AI questions, system design Ready to Shape the Future of AI? If youre passionate about pushing the boundaries of information retrieval and generative AI, we want to hear from you. Join a team where your expertise will drive innovation and create meaningful impact on a global scale. Apply now and help us build the next generation of intelligent search and discovery systems. Send in your resume to Mr.Praveen at Praveen.kunta@techfabric.com We are an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status. Application Requirements: - Resume/CV highlighting relevant ML/AI experience - Cover letter explaining your interest in information retrieval and generative AI - Links to relevant projects, publications, or GitHub repositories (preferred) - Portfolio demonstrating production ML systems or research contributions

Genpact is a global professional services and solutions firm with a team of over 125,000 professionals in more than 30 countries. Driven by curiosity, agility, and the desire to create lasting value for clients, we serve leading enterprises worldwide, including the Fortune Global 500. Our purpose is the relentless pursuit of a world that works better for people, and we achieve this through our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Principal Consultant, Research Data Scientist. We are looking for candidates with relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. The ideal candidate should have full cycle experience in at least one large-scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, technology & analytic solutioning, implementation, and change management. Experience in Hadoop, including development in the map-reduce framework, is also desirable. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems, and working with database teams to deliver large-scale text analytic solutions. Responsibilities: - Develop transformative AI/ML solutions to address clients" business requirements - Manage project delivery involving data pre-processing, model training and evaluation, and parameter tuning - Manage stakeholder/customer expectations and project documentation - Research cutting-edge developments in AI/ML with NLP/NLU applications in various industries - Design and develop solution algorithms within tight timelines - Interact with clients to collect and synthesize requirements for effective analytics/text mining roadmap - Work with digital development teams to integrate algorithms into production applications - Conduct applied research on text analytics and machine learning projects, file patents, and publish papers Qualifications: Minimum Qualifications/Skills: - MS in Computer Science, Information Systems, or Computer Engineering - Relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms Technology: - Open Source Text Mining paradigms (NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene) and cloud-based NLU tools (DialogFlow, MS LUIS) - Statistical Toolkits (R, Weka, S-Plus, Matlab, SAS-Text Miner) - Strong Core Java experience, programming in the Hadoop ecosystem, and distributed computing concepts - Proficiency in Python/R programming; Java programming skills are a plus Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG, with text analytics experience on large structured and unstructured data - Knowledge of AI Methodologies (ML, DL, NLP, Neural Networks, Information Retrieval, NLG, NLU) - Familiarity with Natural Language Processing & Statistics concepts, especially in their application - Ability to conduct client research to enhance analytics agenda Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, and Machine learning/Deep learning methods - UI development paradigms for Text Mining Insights Visualization - Experience with Linux, Windows, GPU, Spark, Scala, and deep learning frameworks Methodology: - Social Network modeling paradigms, tools & techniques - Text Analytics using NLP tools like Support Vector Machines and Social Network Analysis - Previous experience with Text analytics implementations using open source packages or SAS-Text Miner - Strong prioritization, consultative mindset, and time management skills Job Details: - Job Title: Principal Consultant - Primary Location: India-Gurugram - Schedule: Full-time - Education Level: Master's/Equivalent - Job Posting Date: Oct 4, 2024, 12:27:03 PM - Unposting Date: Ongoing - Master Skills List: Digital - Job Category: Full Time,

Genpact is a global professional services and solutions firm with over 125,000 employees in more than 30 countries. We are driven by curiosity, entrepreneurial agility, and the desire to create lasting value for our clients, including Fortune Global 500 companies. Our purpose is the relentless pursuit of a world that works better for people, and we serve leading enterprises with deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Senior Principal Consultant, Research Data Scientist. The ideal candidate should have experience in Text Mining, Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. It is desirable to have full-cycle experience in at least one Large Scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation, and Change Management. Experience in Hadoop, including development in the map-reduce framework, is also required. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems and working with database teams to deliver large-scale text analytic solutions. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities include developing transformative AI/ML solutions, managing project delivery, stakeholder/customer expectations, project documentation, project planning, and staying updated on industrial and academic developments in AI/ML with NLP/NLU applications. The role also involves conceptualizing, designing, building, and developing solution algorithms, interacting with clients to collect requirements, and conducting applied research on text analytics and machine learning projects. Qualifications we seek: Minimum Qualifications/Skills: - MS in Computer Science, Information systems, or Computer engineering - Systems Engineering experience with Text Mining/NLP tools, Data sciences, Big Data, and algorithms Technology: - Proficiency in Open Source Text Mining paradigms like NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud-based NLU tools such as DialogFlow, MS LUIS - Exposure to Statistical Toolkits like R, Weka, S-Plus, Matlab, SAS-Text Miner - Strong Core Java experience, Hadoop ecosystem, Python/R programming skills Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG - Solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks - Understanding of NLP & Statistics concepts, applications like Sentiment Analysis, NLP, etc. Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, Machine learning/Deep learning methods - UI development paradigms, Linux, Windows, GPU Experience, Spark, Scala - Deep learning frameworks like TensorFlow, Keras, Torch, Theano Methodology: - Social Network modeling paradigms - Text Analytics using NLP tools, Text analytics implementations This is a full-time position based in India-Noida. The candidate should have a Master's degree or equivalent education level. The job posting was on Oct 7, 2024, and the unposting date is ongoing. The primary skills required are digital, and the job category is full-time.,

You will be joining Ziance Technologies as an experienced Data Engineer (Gen AI) where your primary role will involve leveraging your expertise in Python and the Azure Tech Stack. Your responsibilities will include designing and implementing advanced data solutions, with a special focus on Generative AI concepts. With 5 - 8 years of experience under your belt, you must possess a strong proficiency in Python programming language. Additionally, you should have hands-on experience with REST APIs, Fast APIs, Graph APIs, and SQL Alchemy. Your expertise in Azure Services such as DataLake, Azure SQL, Function App, and Azure Cognitive Search will be crucial for this role. A good understanding of concepts like Chunking, Embeddings, vectorization, indexing, Prompting, Hallucinations, and RAG will be beneficial. Experience in DevOps, including creating pull PRs and maintaining code repositories, is a must-have skill. Your strong communication skills and ability to collaborate effectively with team members will be essential for success in this position. If you are looking to work in a dynamic environment where you can apply your skills in Azure, Python, and data stack, this role at Ziance Technologies could be the perfect fit for you.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant, Data Scientist In this role, we are looking for candidates who have relevant years of experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer&rsquos business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open source tools. Responsibilities Develop transformative AI/ML solutions to address our clients%27 business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Ensure GenAI outputs are contextually relevant, Familiarity with Generative AI technologies, Design and Implement GenAI Solutions Collaborate with service line teams to design, implement and manage Gen-AI solution Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop innovative AI solutions. Designing, developing, and implementing solutions tailored to meet client needs. Understanding business requirements and translating them into technical solutions using GEN AI Works closely with service line teams to design, implement, and manage Generative AI solution Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms GenAI Tools Certifications in AI/ML or GenAI Technology Open Source Text Mining paradigms such as NLTK, OpenNLP , OpenCalais , StanfordNLP , GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow , MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python /R programming skills. Java programming skills a plus AI and GenAI Methodology Solutioning & Consulting experience in verticals such as BFSI, CPG, with experience in delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client&rsquos analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais , StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training