1 to 25 of 62 Pattern Recognition Jobs

and integrity. • Create data visualizations and interactive dashboards to present findings and insights. • Apply natural language processing (NLP) techniques for unstructured data analysis and text mining. • Develop algorithms for pattern recognition, clustering, and classification of data. • Communicate findings and recommendations to stakeholders through reports, presentations, and data storytelling. • Ensure compliance with data privacy, security and ethical guidelines in More ❯

to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns More ❯

in tandem with the engineering team. Minimum Qualifications Experience in software engineering, or a relevant field. Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field. Experience leading major initiatives successfully. Experience building and shipping high quality work and achieving high reliability. Experience with developing More ❯

and combine datasets. Document workflows, develop prototypes, and effectively communicate technical results to both technical and non-technical audiences. Support critical thinking and analytical judgments through statistical modeling, data pattern recognition, and trend analysis. Operate as a self-starter and problem solver, independently tackling ambiguity and driving results with minimal supervision. Coordinate with customers to resolve data discrepancies … Other Required Skills & Capabilities Ability to synthesize disparate data sources and present findings clearly. Experience applying mathematical and statistical models to answer business or mission questions. Demonstrated critical thinking, pattern recognition, and analytical judgment. Ability to manage multiple tasks independently and meet deadlines in a fast-paced environment. Clear documentation and reporting of analytical workflows and outcomes. Comfortable More ❯

creating insightful analysis and charts communicated using Python or R notebooks. Knowledgeable on quantitative analysis techniques, e.g., descriptive and inferential statistics, parametric and non-parametric statistics, regression, clustering and pattern recognition. Competence in Data Science reproducibility best practices. Nice To Haves Ideally experience in continuous integration and the full Data Science pipeline. Ideally experience with basic software tools and More ❯

AI startup that is heavy on Data, ML Algorithms + LLMs. Role Description This is a full-time hybrid role for a Senior Engineer (ML Engineer): Strong background in Pattern Recognition, Computer Science, and Statistics Expertise in LLMs and Algorithms Experience with data preprocessing and feature extraction Proficiency in programming languages like Python or R (4+ years) Knowledge More ❯

AI startup that is heavy on Data, ML Algorithms + LLMs. Role Description This is a full-time hybrid role for a Senior Engineer (ML Engineer): Strong background in Pattern Recognition, Computer Science, and Statistics Expertise in LLMs and Algorithms Experience with data preprocessing and feature extraction Proficiency in programming languages like Python or R (4+ years) Knowledge More ❯

focus on forecasting, predictive analytics and dynamic data modeling Key Responsibilities Specialize in Time Series Analysis: Design and implement machine learning models that excel in forecasting, anomaly detection, and pattern recognition within time series data Architect Time Series Machine Learning Pipelines: Create robust pipelines specifically designed for time series data workflows, ensuring scalability, efficiency, and seamless flow from More ❯

following: R, SAS, or Matlab Applied statistics or experimentation, such as A/B testing, in an industry setting Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics More ❯

Talents Bachelors, Masters or PhD degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field Strong knowledge of probability and statistics (including machine learning, time-series analysis, pattern recognition, NLP) Prior experience working in a data-driven research environment Experience with NoSQL databases (e.g., MongoDB) Experience with distributed computing using MapReduce Experience with translating mathematical models More ❯

following: R, SAS, or Matlab Applied statistics or experimentation, such as A/B testing, in an industry setting Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics Good education background Top 3 must-have HARD skills: SQL Experimentations for user facing products Narrative excellence Worked cross functionally, influencing skills More ❯

in software or data configuration and/or data engineering 2+ years' experience programming with JavaScript, Python and HTML/CSS/XML High attention to detail and strong pattern recognition skills Ability to interpret and follow complex tasking instructions and apply them consistently Active Secret clearance Desired Qualifications: Active Top-Secret clearance with SCI eligibility Experience with More ❯

in software or data configuration and/or data engineering 2+ years' experience programming with JavaScript, Python and HTML/CSS/XML High attention to detail and strong pattern recognition skills Ability to interpret and follow complex tasking instructions and apply them consistently Active Secret clearance Desired Qualifications: Active Top-Secret clearance with SCI eligibility Experience with More ❯

delivery within a technical or data-intensive environment. Experience with common geospatial software platforms (i.e. QGIS, ESRI ArcGIS, ENVI, ERDAS). Strong analytical skills and attention to detail for pattern recognition in geographic data, products, and services. Knowledge of cloud computing services (AWS, Azure, Google Cloud) for scalable deployment. MUST be a US Citizen. MUST possess a Secret More ❯

delivery within a technical or data-intensive environment. Experience with common geospatial software platforms (i.e. QGIS, ESRI ArcGIS, ENVI, ERDAS). Strong analytical skills and attention to detail for pattern recognition in geographic data, products, and services. Knowledge of cloud computing services (AWS, Azure, Google Cloud) for scalable deployment. MUST be a US Citizen. MUST possess a Secret More ❯

live trading environment Skills and Preferred Qualifications Advanced training in mathematics, statistics, physics, computer science, or another highly quantitative field Proficiency in probability & statistics (time-series analysis, machine learning, pattern recognition, NLP) Prior experience working in a data driven research environment Hands on programming experience in scripting (Python), analytical packages (R, Matlab) and/or compiled languages (C++ More ❯

following: R, SAS, or Matlab • Applied statistics or experimentation, such as A/B testing, in an industry setting • Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics #J-18808-Ljbffr More ❯

of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An expertise in at least one specific data science area such as text mining, recommender systems, pattern recognition or regression models - Previous experience in leading a team, ideally of Data Scientists Educational level: Master Degree How to apply: Please mention NLP People as a source … when applying Tagged as: Industry , Master Degree , NLP , Pattern Recognition , Recommendation System , United Kingdom More ❯

role involves building and integrating retrieval-augmented generation (RAG) techniques, fine-tuning smaller transformer-based models (e.g., BERT, DistilBERT), and leveraging deep learning architectures for reasoning-based intelligence extraction, pattern recognition, and anomaly detection. The ideal candidate will have experience in training and fine-tuning AI models, as well as implementing scalable solutions for automated dark web analysis. … dark web sources. Train and fine-tune smaller deep learning models, including vision models (e.g., CNNs, Vision Transformers) and transformer-based NLP models (e.g., BERT, DistilBERT) for classification, entity recognition, and document intelligence. Design and maintain scalable AI-powered query systems that integrate reasoning capabilities for dark web intelligence. Utilize deep learning and machine learning techniques to enhance automated … anomaly detection, pattern recognition, and dark web data analysis workflows. Integrate trained models with existing intelligence platforms to improve real-time decision-making and risk assessment. Implement responsible AI frameworks, ensuring ethical usage and mitigation of biases in AI-driven dark web analysis applications. WHAT ARE WE LOOKING FOR? Strong programming skills in Python, with experience in AI More ❯

Python, R, or other relevant programming languages and have experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition you ll be an expert in statistical modelling, predictive analytics and regression techniques. An industry certification in data science or a related field is required. Company Benefits More ❯

vision software toolkit used in medical image analysis and inspection systems . You will be involved in both applied and strategic research, developing and optimising complex algorithms used in pattern recognition, OCR, 3D reconstruction, and AI-driven image analysis - all adapted to the specific challenges of the healthcare domain. Key Responsibilities Design, develop, and optimise C++ software libraries More ❯

across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Exposure to Marketing Data More ❯

builder with a passion for people and AI-driven innovation, we want to talk to you. What Are The Responsibilities? Architect and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping More ❯

builder with a passion for people and AI-driven innovation, we want to talk to you. What Are The Responsibilities? Architect and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping More ❯

our customers, improving a wide range of internal products that impact inventory availability for customers both nationally and regionally • Develop business insights basis data extraction, data analytics, trend deduction & Pattern recognition. • Present these business insights to senior management/executives. • Create advanced dashboard to help a large group of teams to consume insights make changes to business process and More ❯