376 to 400 of 3,509 Algorithms Jobs

systems to support RLDatix's mission of enabling safer, more efficient healthcare worldwide. How You'll Spend Your Time Designing and developing machine learning models, large language models, and algorithms to deliver meaningful insights from large datasets. Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform. Optimizing machine learning … as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge of More ❯

native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯

Cloud- technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯

native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯

native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯

automate tasks. By improving machine learning technologies, AI Engineers enhance software capabilities and contribute to innovative solutions across various applications. Duties & Responsibilities Design, develop, and implement AI/ML algorithms and models to solve business challenges. Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications. Research and stay up-to-date with the latest advancements … or Keras. Proficiency in programming languages like Python, R, or Java. Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning. Strong understanding of data structures, algorithms, and statistics. Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models. Knowledge of MLOps tools and practices for model deployment and monitoring. Ability to work with large datasets More ❯

will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The team will design, implement, and optimize advanced algorithms and machine learning models to detect anomalies in game streams. Your expertise will help shape the future of gaming by ensuring high-quality player experiences. What you'll be doing … Anomaly Detection Development: Design, develop, and implement novel anomaly detection algorithms to automatically identify bugs and glitches in game streams. Research and Innovation: Lead research initiatives in anomaly detection, contributing to the authorship of research papers and presenting at relevant conferences. Data Analysis: Perform extensive data analysis and preprocessing to uncover patterns and improve detection accuracy. Collaboration: Work with cross More ❯

data science, and software engineering, with the ability to design, develop, and implement robust machine learning models and systems in production. Key Responsibilities Lead the development of machine learning algorithms and models for behavioural modeling and cybersecurity attack detection. Collaborate with cross-functional teams to understand requirements and translate them into effective machine learning solutions. Conduct exploratory data analysis, feature … practices within the organization. Provide mentorship and guidance to junior team members. Required Skills: Proven experience as a Machine Learning Engineer or similar role. Strong knowledge of machine learning algorithms, statistics, and predictive modeling Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally pytorch/tensorflow. Experience with machine learning operations (MLOps) and productionization of ML More ❯

Grey Matters Defense Solutions specializes in software development and solutions, data analytics algorithms, and innovative remote sensing technologies and operations, with senior-level personnel formerly from DIA, NRO, DARPA, and the US Armed Forces. Grey Matters Defense Solutions differentiates itself by combining its subject matter experts, analysts, software engineers, and its data scientists to create unique artificial intelligence algorithms and More ❯

native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯

as well as adversarial test specification, development, and execution. Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. Define and enforce robust access controls, authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. Stay abreast of … Your Profile Essential skills/knowledge/experience: Solid experience as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. Extensive knowledge of security principles, best practices, and standards within the context of AI/ML systems. Previous hands-on experience as developer, programmer or data scientist More ❯

oriented programming language. 3. Demonstrated experience in SQL and data modeling in relational databases 4. Strong problem-solving skills and attention to detail. 5. Knowledge on data structures and algorithms 6. Good understanding of object oriented design and concept 7. Ability to build and maintain websites Key job responsibilities 1. Design, develop, and maintain high-performance software applications. 2. Implement … and optimize algorithms and models for tasks like trading and risk assessment. 3. Integrate software systems with databases, APIs, and third-party services. 4. Ensure compliance with financial regulations and industry standards. 5. Collaborate with cross-functional teams to deliver end-to-end solutions. 6. Write unit tests, perform debugging, and maintain technical documentation. 7. Monitor system performance and provide More ❯

to Succeed (Minimum Requirements): Secret Clearance Required Senior: Minimum of eight (8) years of experience in software development with a strong background in object-oriented programming, data structures, and algorithms, with proficiency in languages such as Java, Python, or Golang. Mid: Minimum of Five (5) years of experience in software development with a strong background in object-oriented programming, data … structures, and algorithms, with proficiency in languages such as Java, Python, or Golang. A bachelor's or master's degree in computer science, Software Engineering, Information Systems, or a related technical field, preferred. More ❯

as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. * Define and enforce robust access controls, authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. * Stay abreast of … security considerations are properly addressed. Key Skills & Experience: * Solid experience as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. * Extensive knowledge of security principles, best practices, and standards within the context of AI/ML systems. * Previous hands-on experience as developer, programmer or data scientist More ❯

team to help them develop technical excellence. Qualifications and skills Will have 4-5 years' experience as a data scientist with proven ability to conceptualize, formulate, prototype and implement algorithms to solve complex business problems. Can coordinate and manage competing priorities across a portfolio of projects Compile, integrate, and analyse data from multiple sources to answer business questions Experience communicating … to both technical and non-technical audiences to facilitate feasibility assessment, prioritisation and adoption. Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms Proficient in Python Have a deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial Optimisation, Reinforcement Learning, Bayesian Statistics, NLP etc.) Good knowledge in mining More ❯

as well as adversarial test specification, development, and execution. • Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. • Define and enforce robust access controls, authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. • Stay abreast of … security considerations are properly addressed. Key Skills & Experience: • Solid experience as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. • Extensive knowledge of security principles, best practices, and standards within the context of AI/ML systems. • Previous hands-on experience as developer, programmer or data scientist More ❯

as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. * Define and enforce robust access controls, authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. * Stay abreast of … security considerations are properly addressed. Key Skills & Experience: * Solid experience as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. * Extensive knowledge of security principles, best practices, and standards within the context of AI/ML systems. * Previous hands-on experience as developer, programmer or data scientist More ❯

truly makes a difference, then come join us! Job Description: Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analytics. The Level 2 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine … learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than five areas is strongly preferred. Qualifications: Bachelor's degree More ❯

truly makes a difference, then come join us! Job Description: Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analytics. The Level 2 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine … learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than five areas is strongly preferred. Qualifications: Bachelor's degree More ❯

truly makes a difference, then come join us! Job Description: Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analytics. The Level 3 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine … learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than five areas is strongly preferred. Qualifications: Bachelor's degree More ❯

for Time Series:Conduct thorough audits and cleansing of time series data, develop strategies for managing seasonality, trends, and noise to power insightful predictive models Develop Scalable Time Series Algorithms: Craft algorithms and models that are accurate and adaptable for time series data, ensuring reliable predictions and insights from evolving datasets From Prototype to Production: Collaborate with the engineering team More ❯

Our Vision: DeGould's vision is to be the standard for new vehicle inspection in the automotive sector. Key Responsibilities: Assist in the development, testing, and optimisation of localisation algorithms that help systems understand and track their position. Help write clean, maintainable, and efficient Python code to support localisation pipelines and related tools. Work with camera data to clean, preprocess … sensing, image projection. Ability to perform well under pressure in a fast moving, dynamic environment. A degree in Computer Science, Engineering or related discipline. Ability to read and understand algorithms written in C++. Knowledge of camera and imaging concepts such as focal length, focus, aperture, motion blur, and ISO. Familiarity with version control systems such as Git, SVN or Mercurial. More ❯

Disney+, Hulu and Star+). As the Senior Manager of User Access, you will manage a large team of engineers to design, build, and manage scalable distributed systems & applied algorithms that power multiple experiences for Disney Streaming. This team has an enormous impact on millions of users of our streaming applications. You will work closely with senior engineering leadership and … Disney+, Hulu and Star+). As the Senior Manager of User Access, you will manage a large team of engineers to design, build, and manage scalable distributed systems & applied algorithms that power multiple experiences for Disney Streaming. This team has an enormous impact on millions of users of our streaming applications. You will work closely with senior engineering leadership and More ❯

simulation, systems, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction. The Physics Informed AI group will be specifically focused on researching and implementing novel algorithms for physics informed machine learning for use in design and engineering tools. We are interested in a scientific leader to help guide and direct research into physics-based generative models … simulation, systems, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction. The Physics Informed AI group will be specifically focused on researching and implementing novel algorithms for physics informed machine learning for use in design and engineering tools. We are interested in a scientific leader to help guide and direct research into physics-based generative models More ❯

experiments, and testing hypotheses, all while enjoying the dynamic "skunk-works" environment! You'll be an integral part of our team, contributing to optimising processes, leveraging new tools and algorithms, and creating visualisations to monitor key metrics! Your documentation skills will ensure that projects are well-documented and progress is tracked efficiently. This role promises a blend of creativity, teamwork … Identify and implement innovative solutions based on client needs and market trends. Collaborate with the team to code essential systems, run experiments, and test hypotheses. Apply new tools and algorithms to optimize existing processes and enhance functionality. Create visualizations to track and monitor key metrics and project progress. Document projects thoroughly to ensure efficient tracking and future reference. Engage in More ❯