26 to 50 of 601 Remote Algorithms Jobs

following Knowledge of fraud and/or financial crime. Experience with building Python data visualization apps using things like Plotly Dash. Knowledge of clustering algorithms and the problems they can help solve. Experience with cloud platforms especially, GCP. About working for us Our focus is to ensure we are inclusive More ❯

CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies More ❯

writing performant code Practical experience of Continuous Integration (CI/CD) Practical experience of version control systems (Git) Solid knowledge of data structures and algorithms Solid knowledge of functional programming paradigms Experience refactoring code with scale and production in mind Experience with asynchronous architecture Familiar with AWS, Unix/Linux More ❯

enhance systems supporting the defense of our nation. In particular, you will implement cutting edge solutions for a program focused on protecting computer vision algorithms from adversarial AI attacks. You will be part of a solutions-oriented, agile SCRUM team designing and developing custom methods and components to support innovative More ❯

including classification, regression, clustering, and recommendation systems Develop and validate statistical models to identify patterns and trends in complex datasets Evaluate and implement appropriate algorithms based on business requirements and data characteristics Monitor and refine models in production to ensure sustained performance 2. Data Management and Preparation Work with Data More ❯

math and modeling tools (Matlab, STK) • Experience developing software in Cloud Computing environments (AWS) • An aptitude for developing code for math and physics-based algorithms • The candidate should possess a high degree of ethics, an optimistic outlook, and have the ability to work independently within a team environment Security Clearance More ❯

area examples: • Agile & Open Software Development - Agile & DevSecOps development processes, organizations, requirements and tools. Application experience with object-oriented programming languages, microservices, data structures, algorithms, and software testing methods. State-of-practice level knowledge of DoD Open Systems approaches (e.g., Open Mission Systems, Big Iron Framework, or others). • Electronic More ❯

processes Strong analytical and problem-solving skills Proficiency in programming languages such as Python, R, or SQL Knowledge of statistical analysis and machine learning algorithms Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field More ❯

derive insights and support key business decisions across a range of strategic initiatives. You will be responsible for utilizing advanced statistical methods, machine learning algorithms, and data visualization techniques to tackle complex data challenges. Your work will involve working with large datasets, conducting analyses, and presenting findings to stakeholders, enabling More ❯

technology to the business You have strong Git experience You have a thorough understanding of Computer Science fundamentals including OOP, Data Structures, Design Patterns, Algorithms You have a good knowledge of APIs You are degree educated in a relevant discipline from a top tier university, Computer Science preferred Experience within More ❯

technology to the business You have strong Git experience You have a thorough understanding of Computer Science fundamentals including OOP, Data Structures, Design Patterns, Algorithms You have a good knowledge of APIs You are degree educated in a relevant discipline from a top tier university, Computer Science preferred Experience within More ❯

technology to the business You have strong Git experience You have a thorough understanding of Computer Science fundamentals including OOP, Data Structures, Design Patterns, Algorithms You have a good knowledge of APIs You are degree educated in a relevant discipline from a top tier university, Computer Science preferred Experience within More ❯

offers the opportunity to contribute significantly to the development of AI-powered analytics for autonomous robotic systems. Key Responsibilities: Develop and implement machine learning algorithms, focusing on multimodal data integration. Design and deploy predictive models for condition monitoring of high-voltage assets. Collaborate with cross-functional teams to integrate AI More ❯

develop, and implement artificial intelligence and machine learning solutions that drive innovation and business efficiency. The ideal candidate will have expertise in machine learning algorithms, deep learning, natural language processing (NLP), and computer vision while leveraging big data and cloud computing platforms to build scalable AI models. Why join us More ❯

AI solutions on platforms like Microsoft Azure, AWS, or GCP. Excellent problem-solving skills, with the ability to apply statistical techniques and machine learning algorithms effectively. Strong communication and teamwork skills to collaborate effectively in a dynamic environment. What’s on Offer: Career Growth & Learning – Access to tailored learning opportunities More ❯

AI solutions on platforms like Microsoft Azure, AWS, or GCP. Excellent problem-solving skills, with the ability to apply statistical techniques and machine learning algorithms effectively. Strong communication and teamwork skills to collaborate effectively in a dynamic environment. What’s on Offer: Career Growth & Learning – Access to tailored learning opportunities More ❯

streams, and data staging for extraction and integration into various systems; Translate data science requirements from extensive records (billions) and unstructured datasets into mathematical algorithms using a range of tools, including programming languages and advanced technologies (AI and machine learning), to identify data patterns and optimize models; Possess strong expertise More ❯

application debugging and DB performance issues; IBM WebSphere or other J2EE application servers. Must have an excellent understanding of computer science fundamentals, data structures, algorithms, and software design. Possess expertise in object-oriented design methodology and large-scale application development in Java. Working knowledge of all aspects of SDLC including More ❯

predictive analytics, generating actionable insights to address complex business problems in drug development and market access; translate unstructured business problems into scalable data models, algorithms, and analytical frameworks, leading innovation through the full data science and machine learning lifecycle, from data engineering to model deployment; leverage advanced statistical and machine More ❯

Spearhead the development of complex software solutions, focusing on leveraging AI and LLM technologies, while maintaining a user-centric approach. Prototype and implement sophisticated algorithms to solve challenging real-world problems. Develop and maintain robust software frameworks and pipelines for large-scale data processing. Utilize Django, Kafka, and other advanced More ❯

Spearhead the development of complex software solutions, focusing on leveraging AI and LLM technologies, while maintaining a user-centric approach. Prototype and implement sophisticated algorithms to solve challenging real-world problems. Develop and maintain robust software frameworks and pipelines for large-scale data processing. Utilize Django, Kafka, and other advanced More ❯

Spearhead the development of complex software solutions, focusing on leveraging AI and LLM technologies, while maintaining a user-centric approach. Prototype and implement sophisticated algorithms to solve challenging real-world problems. Develop and maintain robust software frameworks and pipelines for large-scale data processing. Utilize Django, Kafka, and other advanced More ❯

causality, uncertainty quantification, and responsible AI. Requirements/Qualifications: Strong experience in Bayesian inference and probabilistic modeling : PGMs, HMMs, GPs, MCMC, variational methods, EM algorithms, etc. Proficiency in Python (must) and familiarity with PyMC, NumPyro, TensorFlow Probability , or similar probabilistic programming tools. Hands-on experience with classical ML and modern More ❯

s needs Implementation, maintenance, and oversight of the data management standards, practices, process, and technologies within CA/C Design data modeling processes, create algorithms and predictive models, and perform ad hoc/exploratory data analysis to support data-driven decision making, including use of advanced analytics techniques such as More ❯

a related field with a focus on applied statistics, AI, machine learning, or related fields with experience working with predictive and probabilistic models, clustering algorithms, classification models and time series techniques in a production environment. Proficiency with Python and all related Data Science libraries (numpy, pandas, matplotlib, etc.), and SQL More ❯