22 Knn Jobs

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...

You are an experienced professional with 5 to 12 years of experience, looking for a Full-Time opportunity as an Azure Generative AI Engineer. Your primary skills include Data Science, Machine Learning, Python, AI, and Azure. You will be responsible for designing, developing, and deploying Generative AI applications using Python, FastAPI, Azure Durable Functions, and Azure OpenAI Services. You must build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI applications and work on end-to-end Generative AI projects. Your role involves integrating AI/ML search and data services such as Azure Cognitive Search, Cosmos DB, and other Azure-native tools. Automation of key c...

At American Express, the culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors, with an unwavering commitment to support customers, communities, and colleagues. As a part of Team Amex, you will experience comprehensive support for your holistic well-being and numerous opportunities to learn new skills, develop as a leader, and advance your career. Your voice and ideas will be valued, your work will have an impact, and together, we will shape the future of American Express. The AIM (Analytics, Investment & Marketing Enablement) team, a part of GCS Marketing, serves as the analytical engine that drives the Global Commercial business portfolio of American...

Job Role: Lead Data Scientist. Location: Bengaluru, Karnataka. Mode : Work from Office Notice Period: Immediate to 20 days. Job Description The incumbent will be part of the Predictive Analytics, Digital Analytics, Data Sciences, Advanced Visualization, Insights & Experimentation team and will report to the Manager/Senior Manager. He/she will be an individual contributor working on multiple data sciences, advanced visualization and data management initiatives across multiple companies and industries leveraging traditional and big data. The incumbent will have the unique opportunity to witness the application of analytics across multiple industry verticals. Close partnership with business and...

AI/ML Engineer to join our fast-growing. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven applications that deliver business value and customer impact. Key Responsibilities Research and develop machine learning models using supervised, unsupervised, or reinforcement learning techniques. Deploy models into production using MLOps best practices (e.g., containerization, CI/CD, model monitoring). Work on datasets involving structured and unstructured data (e.g., text, image, video, time-series). Collaborate with data engineers, product managers, and other stakeholders to define problem statements and deliver solutions. Continu...

Strong proficiency in Python and/or R for data analysis and modeling. Advanced SQL skills for data querying and transformation. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Solid understanding of statistics, hypothesis testing, regression analysis, and data mining. Familiarity with cloud platforms (AWS, Azure, or GCP) and big data tools (Spark, Hadoop) is a plus. Excellent problem-solving skills and attention to detail.

AI Engineers develop a wide range of artificial intelligence tools that help automate processes. They train computers to think and work more like humans to offer automation solutions. Examples of AI tools include chatbots, translation