256 Anomaly Detection Jobs - Page 6

As a Senior Fraud Risk Modeler specializing in the credit card domain, you will play a crucial role in designing, developing, and maintaining models to detect and prevent fraud across various financial products and channels. Your responsibilities will include: - **Model Development & Validation:** Building, implementing, and validating fraud detection and prevention models using advanced statistical and machine learning techniques specifically for credit card products. - **Data Analysis & Interpretation:** Analyzing large-scale transactional and behavioral data to identify fraud patterns, assess model performance, and provide actionable insights. - **Risk Assessment & Monitoring:** Evaluatin...

As a Data Modeler at Quantiphi, you will play a crucial role in designing and implementing data models to support various analytics services. Your responsibilities will include: - Utilizing your strong Conceptual, Logical, and Physical Data Modeling skills to gather requirements, create data mapping documents, write functional specifications, and develop queries for a variety of applications such as Data Warehouse, Data Lake, DataMart, OLTP, and OLAP - Employing your expertise in Entity-Relational, Data Vault, and Dimensional Data modeling using tools like Erwin, ER/Studio, Enterprise Architect, and PowerDesigner - Collaborating with the Data Management team to perform tasks such as Data Ext...

About Zscaler Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named...

Role Overview: You have an amazing opportunity in a global organization like Linde, where the possibilities are limitless. You will have the chance to go beyond your job description and contribute towards bettering the people you work with, the communities you serve, and the world we all live in. Your role will involve analyzing operational data, supporting digital transformation, managing key applications, and contributing to AI-driven optimization across Linde's global production assets. Key Responsibilities: - Collect, clean, and analyze large datasets from industrial operations, including process data and maintenance logs. - Work with cross-functional teams to identify opportunities for ...

Role Overview: As the Director of Data Insights & Automation at Statistics & Data Corporation (SDC), your primary responsibility will be to direct the development and maintenance of systems, infrastructure, and personnel to enable reliable, cost-effective automation and machine learning solutions within SDC and for external partners and clients. You will oversee the cleaning, processing, storing, and analyzing of clinical data for the development of Artificial Intelligence (AI) and Machine Learning (ML) algorithms to support better understanding of new therapies" safety and efficacy. Additionally, you will lead software development activities to drive automation across SDC departments, reduc...

Strong understanding of industrial processes, sensor data, and IoT platforms, essential for building effective predictive maintenance models. Experience translating theoretical concepts into engineered features, with a demonstrated ability to create features capturing important events or transitions within the data. Expertise in crafting custom features that highlight unique patterns specific to the dataset or problem, enhancing model predictive power. Ability to combine and synthesize information from multiple data sources to develop more informative features. Advanced knowledge in Apache Spark (PySpark, SparkSQL, SparkR) and distributed computing, demonstrated through efficient processing ...

As a skilled Technical Lead, you will be responsible for leading the end-to-end design and delivery of an AI-powered solution that combines NLP, anomaly detection, GenAI/RAG, and rule engines on a Cloud platform. Your role will involve owning the architecture, technical roadmap, and production reliability while guiding a cross-functional team comprising ML, Data Eng, Backend, DevOps, and QA professionals. Key Responsibilities: - Define the reference architecture including ingestion, lakehouse, features/vectors, models, and APIs/UX; make build/buy decisions - Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components; establish human-in-the-loop - Implement experime...

As a Senior Applied Scientist at Oracle Cloud Infrastructure, you will be part of the Generative AI and AI Solutions Engineering team, working on building advanced AI solutions that address real-world challenges. Your role will involve: - Designing, building, and deploying cutting-edge machine learning and generative AI systems, focusing on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. - Collaborating with scientists, engineers, and product teams to transform complex problems into scalable AI solutions ready for the cloud. - Developing models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, s...

Role Overview: You will be responsible for selecting features, building and optimizing classifiers using machine learning techniques, data mining using state-of-the-art methods, enhancing data collection procedures, processing, cleansing, and verifying data integrity, performing ad-hoc analysis, creating automated anomaly detection systems, leading project meetings, managing multiple development designs, providing customer training, participating in internal projects, and having hands-on experience with data models and data warehousing technologies. You must be organized, analytical, have excellent communication skills, and be proficient in using query languages. Key Responsibilities: - Sele...

Role & responsibilities : 1.Design and implement anomaly detection models using statistical and unsupervised learning techniques. 2.Optimize AI models for edge devices. 3.Work with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques. 4.Utilize deep learning architecture such as CNNs, RNNs, LSTM, GRU, and GANs. 5.Perform model evaluation, optimization, cross-validation, and hyperparameter tuning. 6.Visualize and analyze datasets using Python tools like Pandas, Matplotlib, and Seaborn. 7.Collaborate with cross-functional teams to translate business needs into AI-powered solutions. Good to have: 1.Sensor data processing (noise redu...

As a Principal Applied Data Scientist at Oracle Cloud Infrastructure, you will be responsible for designing, building, and deploying cutting-edge machine learning and generative AI systems. Your focus will primarily be on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. Key Responsibilities: - Collaborate with scientists, engineers, and product teams to transform complex problems into scalable AI solutions suitable for enterprises. - Develop models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision. - Conduct experiments, explore new algorithms,...

As a Principal/Lead AI Engineer at Simpplr, you will play a crucial role in transforming the platform from AI-enabled to AI-native. Your responsibilities will include designing, coding, and leading the development of Simpplr's AI-native platform with a focus on explainability, traceability, observability, and auditing. You will deliver enterprise-scale AI capabilities using advanced technologies such as MCP, RAG, multimodal processing, LLMs, SLMs, and custom ML models. Additionally, you will define technical strategies, align with product and engineering leaders, and champion Responsible AI principles to ensure compliance with security and governance standards. Key Responsibilities: - Design...

You are a strategic thinker passionate about driving solutions in release management and data integrity. You have found the right team. As a Release Manager in our Finance Data Insights Release Management team, you will spend each day ensuring proper controls and change management processes are strictly followed, delivering accurate, complete, and consistent data for both internal financial reporting and external regulatory requirements. As a Release Manager Associate, you will work closely with Line of Business stakeholders, data Subject Matter Experts (SMEs), consumers, and technology teams across Finance, Credit Risk & Treasury, and various Program Management teams to provide effective ri...

As a professional services firm affiliated with KPMG International Limited, KPMG in India has been serving clients since its establishment in August 1993. Leveraging the global network of firms, our professionals possess a deep understanding of local laws, regulations, markets, and competition. With offices situated across various cities in India such as Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, we offer services to national and international clients across diverse sectors. Within KPMG in India, we have a specialized Forensic Technology lab dedicated to the recovery and utilization of crucial digital...

The primary responsibility in this role is to maintain Accuracy/Quality in line with the standards set by the Business Unit for all SAFR reviews. This involves managing workload/volumes and delivery expectations according to business requirements. It is essential to develop a comprehensive understanding of the business process for which the reviews are conducted. Regularly updating the centralized inbox and tracking database is a key task, along with maintaining detailed records of communication with all involved parties, including any changes made. An extreme focus on quality is crucial, with a clear understanding of the financial and legal implications involved. Drawing Leadership attentio...

Job Description Responsible for end-to-end implementation and configuration of SIEM(LogRhythm) and SOAR(Cortex) solutions across customer environments Onboard diverse log sources (cloud, on-prem, endpoint, network) into the LogRhythm SIEM platform and normalize data(Including Supported and Non Supported Devices) Design and implement Standard and Custom detection rules, dashboards, and Reports. Including UEBA, NBA, MITRE, Logsource based and Cross Correlation Usecases Collaborate with SOC, threat intel, TPM and Internal teams to enhance security posture and streamline incident response. Troubleshoot log ingestion and parsing errors. Implement threat intelligence integration to enrich alerts a...

The Firmwide Resiliency Office (FRO), part of the Office of the Chief Finance Officer, is responsible for designing the Firm's Resilience strategy. This includes Resiliency Planning, Testing, Exercising, Reporting, and Product and Concern Management. The team comprises technical product, data, and analytic roles that support business resiliency. FRO collaborates closely with senior leadership, Lines of Business, Functional Resiliency teams, and key functions such as Control Management, Risk Management & Compliance, and Audit to ensure the resiliency program aligns with the firm's risk-taking activities. Additionally, the team provides corporate governance, awareness, and training. As a Data ...

The Balance Sheet Management (BSM) unit is a division within Treasury and is part of Citigroup's broader Finance organization. The specific responsibilities of Balance Sheet Management cover five key areas: Asset and Liability Management (ALM): FTP Governance & Execution: Establishes and oversees the policies for pricing business assets and liabilities based on interest rates and liquidity values. Executes various transfer pricing processes firm-wide and ensures minimal retained costs and balance sheet in Treasury through an effective allocation process. Interest Rate Risk Management: Evaluates, analyzes, and reports Interest Rate Risk in the accrual businesses for Citigroup. Balance Sheet A...

The leading cloud-based platform provider for the mortgage finance industry, ICE, is seeking an Associate to perform exception reviews on documents and audits at various stages of the loan production process. Your role will involve ensuring compliance with customer requirements and industry regulations while maintaining the highest levels of quality and efficiency. Your responsibilities will include validating document recognition and data extraction, conducting data integrity checks, and following standard operating procedures. You will collaborate with management to address service delivery challenges, uphold data security protocols, and meet defined SLAs. Additionally, you will create bou...

Job Description: Omio is building the future of travel pricing by transitioning from manual, rule-based systems to AI-driven dynamic pricing to enhance revenue, efficiency, and competitiveness. As part of this transition, we are seeking an individual to develop cutting-edge solutions and drive the adoption of AI-driven pricing within the company. Main Tasks And Responsibilities: - Build Models: Develop machine learning models such as time series and RNNs to forecast demand and optimization systems for dynamic price recommendations. - Pilot AI Solutions: Design and implement a Proof of Concept (PoC) for dynamic pricing in a test market. - Evangelize AI Pricing: Advocate for the adoption of AI...

Presage Insights is a cutting-edge startup specializing in predictive maintenance. The platform leverages AI-powered diagnostics to detect and diagnose machine failures, integrating with an inbuilt CMMS (Computerized Maintenance Management System) to optimize industrial operations. The company is expanding its capabilities in time series analysis and LLM-powered insights. As a Machine Learning Intern at Presage Insights, you will work on real-world industrial datasets, applying AI techniques to extract insights and enhance predictive analytics capabilities. Your role will involve collaborating with the engineering team to develop, fine-tune, and deploy LLM-based models for anomaly detection,...

Python (Primary Skill) Anomaly detection OR Fraud Detection Graph neural network Interested candidates can share resumes at -"Kashif@d2nsolutions.com"

Roles and responsibilities Develop novel AIML algorithms and methodologies applicable to control systems engineering and anomaly detection problems. Analyse large time series datasets to identify patterns, trends, and insights to deliver algorithms dealing with diagnostics and prognostics of large energy equipment. Implement and optimize AIML algorithms and models. Design and conduct experiments to test the performance and robustness of AIML-based solutions. Document research findings, methodologies, and implementation details for knowledge sharing and future reference. Collaborate with cross-functional teams, including engineers, researchers, and product managers, to integrate AIML solution...

Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you Then it seems like you'd make a great addition to our vibrant team. We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, you'll work on impactful projects that accelerate energy efficiency...

Practical in applying geometric concepts, with strong Python & SQL skills. Creative problem-solver, innovator, able to build agent-driven solutions. Senior dev with TDD, AWS knowledge preferred over Ph.D.