31 Knn Jobs

The role sits within our Decision Analytics business, one of our four Global Business Lines. Experian Decision Analytics helps client achieve and sustain significant growth. We do this by enabling clients to make analytics-based customer decisions that support their strategic goals. As experts in uniting business understanding with consumer and business information, analytics and strategy execution, we empower clients to optimize customer value and actively manage it over time. This role therefore has clear accountability for creating measurable value within our client organizations. What youll be doing This will be a client - facing role, requiring direct interaction with clients to underst...

Delivering high quality analytical and value-added services for clients while adhering to timelines Build next in class risk Models for our Clients leveraging bureau and alternate data Provide subject matter expertise on acquisition and limit assignment strategies You'll play an integral role to Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution You will have the opportunity to use analysis and customer insights to develop value propositions for customers Manage the delivery of multiple, complex analytics projects Flexible and expertise to perform hands-on modelling work Motivate project...

Role Overview: As a Machine Learning Engineer, you will play a key role in developing and enhancing a Telecom Artificial Intelligence Product using cutting-edge technologies. Your focus will be on implementing advanced algorithms and models to solve complex problems related to anomaly detection, forecasting, event correlation, and fraud detection. Key Responsibilities: - Develop production-ready implementations of proposed solutions across various machine learning and deep learning algorithms, including testing on live customer data to enhance efficacy and robustness. - Research and test novel machine learning approaches for analyzing large-scale distributed computing applications. - Impleme...

Role Overview: KLA is seeking a Data Scientist/ML Engineer with expertise in NLP, statistics, and Conversational AI. The ideal candidate will be proficient in Statistical Modelling, Machine Learning algorithms, and Conversational AI, with a strong background in data mining and running simulations. You will have a passion for uncovering solutions within large datasets and collaborating with business partners to enhance business outcomes. Key Responsibilities: - Build end-to-end ML systems, including traditional ML models and Conversational AI, and deploy them at scale. - Research and develop innovative statistical models and ML models for data analysis. - Develop and maintain RAG (Retrieval-A...

As a Machine Learning Engineer at our company, your primary focus will be applying Natural Language Processing (NLP) AI techniques, conducting machine learning tasks, and developing high-quality prediction systems for data classification. You will also be responsible for presenting information through data visualization techniques and undertaking data collection, preprocessing, and harmonization. **Roles and Responsibilities:** - Develop applications in machine learning and artificial intelligence - Select features, build, and optimize classifiers using machine learning techniques - Understand business objectives and develop models to achieve them, along with tracking progress metrics - Mana...

- Proficient in designing and implementing predictive analytics techniques like Regression, Classification, Time Series Forecasting, Clustering, etc. - Hands-on experience in developing machine learning models such as Linear & Logistic Regression, Decision Tree, Random Forest, XGBoost, KNN, SVM, Neural Networks, Deep Learning, LSTM, and Clustering algorithms like K-means or Agglomerative Clustering, etc. - Good hands-on experience in analytical tools/languages such as Python, Pyspark, Excel. Contact- 9987334349

As an Analyst at American Express, you will be a part of the AIM (Analytics, Investment & Marketing Enablement) team within GCS Marketing, contributing to the growth and profitability of the Global Commercial business portfolio. Your role in Gurgaon, India, will involve driving sentinel measurement Analytics across various channels and product offerings, providing valuable insights to support business partners in campaign measurements, ROI analysis, and data-driven decision-making for acquisition & engagement treatments in GCS. Key Responsibilities: - Support business partners with campaign measurements, ROI analysis, and actionable data-driven insights - Develop analytical solutions by gath...

We are the global technology company behind the worlds fastest payments processing network We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless We ensure every employee has the opportunity to be a part of something bigger and to change lives We believe as our company grows, so should you We believe in connecting everyone to endless, priceless possibilities The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, an...

We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities: Design and implement RAG pipelines using LangChain and LangGraph. Integrate AWS Open Source Vector Databases (e.g., OpenSearch with KNN plugin). Handle complex query chaining, prompt orchestration. Work with graph-based knowledge representations...

As a Data Science and AI / ML professional at LTIMindtree, you will play a crucial role in leveraging digital technologies to drive innovation and growth for our clients. With over 6 years of experience in the field, you will be expected to have a deep understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Your expertise in data frameworks like Hadoop, business intelligence tools like Tableau, and Cloud native skills will be essential in delivering superior business outcomes. Key Responsibilities: - Utilize your knowledge of SQL and Python, with familiarity in Scala, Java, or C++ as an asset, to develop innovative A...

About Info Edge: InfoEdge's mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behaviour, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to ...

We are seeking an accomplished Senior Technical Specialist Data Science to lead cutting-edge AI/ML initiatives, design scalable data-driven solutions, and drive innovation across the enterprise. This role requires deep expertise in AI/ML, cloud technologies (Azure), data engineering, and MLOps , with proven experience in leading teams and delivering AI-powered solutions to solve complex business challenges. Key Responsibilities Leadership & Mentorship : Lead, mentor, and inspire a team of Data Scientists to deliver enterprise-grade AI/ML solutions. Solution Architecture : Design and implement end-to-end AI/ML architectures for complex business problems. Generative AI & NLP : Develop Generati...

We are a technology-led healthcare solutions provider driven by our purpose to enable healthcare organizations to be future-ready. Our goal is to offer accelerated, global growth opportunities for talent that is bold, industrious, and nimble. At Indegene, you will gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. If you are looking to explore exciting opportunities at the convergence of healthcare and technology, visit www.careers.indegene.com. Are you ready to jump-start your career We understand the importance of the first few years of your professional journey, which lay the foundation for your entire career....

Join a team recognized for leadership, innovation, and diversity. You must have a Ph.D. or Master's degree in Computer Science, Engineering, Applied Mathematics, or a related field. Exposure to the Finance domain and use cases in a larger global enterprise setting is required. Additionally, you should have a minimum of 8 to 10 years of Data Science prototyping experience using machine learning techniques and algorithms such as k-means, k-NN, Naive Bayes, SVM, and Decision Trees, with proficiency in Python and/or R tool-stack. Moreover, a minimum of 8 to 10 years of Machine Learning experience of physical systems is expected. You should also possess a minimum of 4 to 6 years of experience wit...

Following Machine Learning algorithms: Regression ,Time Series,Logistic Regression,Naive Bayes,kNN, SVM,Decision Trees,Random Forest,k-Means Clustering etc. NLP, Text Mining,LLM (GPTs),OpenAI , Azure OpenAI, AWS Bed rock, Gemini, Llama, Deepseek etc. Required Candidate profile Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems

You should possess a Master's or PhD degree to be considered for this role. You must have experience in object detection, tracking, classification, recognition, scene understanding, and facial expression analysis. Proficiency in ML techniques such as SVM, boosting, K-means, KNN, HMM, GMM, Ensemble classifier, deep learning, etc., is required. It is essential to have international publications in relevant fields in top-tier conferences and journals. A strong mathematical understanding of signal processing algorithms is necessary, along with up-to-date knowledge of recent trends in machine learning/vision. You should have a solid background in image and video processing techniques, specificall...

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device, or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards, and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research, and development. At KLA, we focus more than average on innovation and invest 15% of sales back into R&D. Ou...

You will be joining Northern Trust, a globally recognized financial institution with over 130 years of experience and more than 22,000 partners. As part of the Model Validation function, you will contribute to the validation of complex quantitative risk models and capital allocation frameworks. Your responsibilities will include understanding and resolving complex issues in algorithms, models, and risk measurement frameworks, particularly in credit risk with an emphasis on AI/ML approaches. Additionally, you will be expected to have hands-on experience with AI/ML algorithms such as Regression, Decision Trees, Nave Bayes, kNN, Random Forest, and neural networks, along with strong programming ...

The role of Manager - Data Scientist requires a minimum of 6+ years of experience in NLP/GenAI/Recommender Systems, with a significant focus on developing enterprise-grade solutions. You should have expertise in handling large datasets and performing data preprocessing on cloud platforms. Your responsibilities will include developing generative AI applications, such as prompt engineering and Retrieval-Augmented Generation (RAG) applications. You should possess a strong understanding of LLM concepts and hands-on experience in utilizing LLMs for POCs and problem-solving, integrating them into the solution workflow. Additionally, you should have practical experience in building various types of...

The Manager - Data Science Product plays a crucial role in developing and delivering the product vision and roadmap in collaboration with product developers, data engineers, and data analysts at Majid Al Futtaim Retail. The focus is on spearheading the Advanced Analytics transformation within the organization. As part of the Retail Analytics Unit, the Manager will contribute to building and developing the analytics talent necessary to support the advanced analytics agenda. Team members are encouraged to shape the unit's trajectory and bring their ideas to life. The Manager will be instrumental in enhancing the Advanced Analytics value proposition in alignment with Majid Al Futtaim's digital ...

The Manager - Data Science Product at Majid Al Futtaim Retail in India plays a crucial role in developing and delivering the product vision and roadmap in collaboration with product developers, data engineers, and data analysts. This position involves spearheading the Advanced Analytics transformation within the organization. The Manager will contribute to building analytics talent to support the advanced analytics agenda and shape the trajectory of the Retail Analytics Unit. By leveraging quantitative analysis, data mining, and data manipulation, the Manager will design and implement data models, develop advanced statistical models, and enhance algorithms to address Retail Analytics problem...

You will be responsible for applying Natural Language Processing (NLP) AI techniques, conducting machine learning, and developing high-quality prediction systems for data classification. Your main tasks will include presenting information through data visualization techniques, as well as collecting, preprocessing, and harmonizing data. As a part of your role, you will develop applications in machine learning and artificial intelligence, while selecting features, building, and optimizing classifiers using machine learning techniques. Understanding business objectives and creating models to support them, along with relevant metrics to monitor progress, will be crucial. You will need to manage ...

At Capgemini Invent, we believe that difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Our approach is informed and validated by science and data, superpowered by creativity and design, all underpinned by technology created with purpose. Your Role: - You should have 4-5 years of experience with hands-on experience in data science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP, and computer vision, preferably in th...

As a Machine Learning Engineer, you will play a key role in developing and enhancing a Telecom Artificial Intelligence Product. This role requires a strong background in machine learning and deep learning, along with extensive experience in implementing advanced algorithms and models to solve complex problems. You will be working on cutting-edge technologies to develop solutions for anomaly detection, forecasting, event correlation, and fraud detection. Your responsibilities will include developing production-ready implementations of proposed solutions using various machine learning and deep learning algorithms. You will test these solutions on live customer data to ensure efficacy and robus...

As a candidate for this position, you will be responsible for analysis, design, coding, and integration using C/C++, Python. You should have experience in shadow removal techniques and be familiar with machine learning algorithms such as KNN, SVM, and text search. Additionally, familiarity with tools like QGIS and libraries like OpenCV is expected. The ideal candidate will hold a Master's degree in Machine Learning, Computer Vision, or Deep Learning with GIS knowledge as an add-on qualification. You should possess excellent written and verbal communication skills and be a self-starter with the ability to actively collaborate in a cross-functional team. A problem-solving mindset, along with a...