101 to 125 of 1,753 Permanent Algorithms Jobs

technical troubleshooting, thinking beyond conventional approaches to break down complex technical problems and deliver scalable outcomes Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity ...

language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projectsFamiliarity with AI techniques and machine learning algorithms, including supervised and unsupervised learningStrong communication skills with a knack for translating complex AI concepts into clear business insightsPreferred qualifications:Bachelor's degree in Computer ...

Solid understanding of software testing, version control, code review, CI/CD, secure development, and production support. Practical experience integrating machine learning models, statistical algorithms, or advanced analytics into software products. Ability to work with data stores and data platforms such as Snowflake, relational databases, or comparable technologies. Understanding ...

think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code ...

think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code ...

think beyond routine or conventional approaches to build solutions or break down technical problems Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g. ...

concurrency primitives, and collections.* Proven track record of architecting and building low-latency trading systems from the ground up.* Strong command of data structures, algorithms, and TDD/BDD practices, including thorough unit test coverage with JUnit and Mockito.* Hands-on experience with Spring or Micronaut, Docker, and Kubernetes.* Working ...

Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions ...

culture of collaboration and continuous learning. Job Responsibilities: Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with ...

culture of collaboration and continuous learning. Job Responsibilities: Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with ...

think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems. Produces architecture and design artifacts for complex applications while ensuring design constraints are met by software code development. Lead ...

feedback and proposes improvements to architecture governance practices Creates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene ...

qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Strong software engineering fundamentals - system design, data structures, algorithms, and architectural thinking - with the ability to ramp up quickly across varied tech stacks and project types Hands‐on practical experience in full‐stack ...

developing large-scale, modular software architectures for modelling, simulation, optimisation, or equivalent computational domains. Strong grasp of mathematical modelling, ETL-like workflows, and algorithms (e.g. steady-state and dynamic simulation, numerical optimisation, or applied ML) in energy systems or similar fields. Awareness of hardware-software integration, control systems, and virtualisation ...

haveStrong understanding of machine learning methods and experience applying them to complex, data-rich environmentsAbility to prototype and deploy statistical and machine learning algorithms, and translate analytical outputs into data-driven solutionsExperience deploying ML/AI technologies into production or applied business environments is a plusWhile we advocate using ...

knowledge of Unix/Solaris environments, software build processes, scripting, debugging, version control, and deployment practices for engineering software. Advanced understanding of data structures, algorithms, computational methods, numerical accuracy, performance optimisation, and scalable software design. Extensive analytical thinking, problem-solving, communication, documentation, and collaboration skills to work effectively with global ...

machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-haveAbility to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domainsAbility to independently own and drive model development while balancing competing demands and deadlinesDemonstrated aptitude ...

Science or a related technical field; or equivalent related professional experience. 5+ years of relevant professional experience. Strong software engineering fundamentals—data structures, and algorithms in Java or Kotlin, with familiarity across the JVM stack, system design, and distributed systems, and can understand highly complex systems, design moderately complex services ...

TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. ...

TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. ...

with and influence stakeholders across the business to propose innovative data products that make the most of Trainline's extensive datasets and the latest algorithms Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows Provide technical mentorship and support the development of less ...

qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Strong software engineering fundamentals system design, data structures, algorithms, and architectural thinking with the ability to ramp up quickly across varied tech stacks and project types Hands-on practical experience in full-stack ...

directly contributing to the team's delivery of secure and stable data architectures Applies advanced data modeling techniques, including linear algebra, statistics, and geometrical algorithms to solve real world business challenges and drive actionable insights Collaborates closely with cross-functional teams to integrate data solutions into business-critical applications, actively ...

deep understanding of (but not limited to): Reporting and Analytical Analysis, Predictive Modeling, and Solution Architect Excellent understanding of machine learning techniques and algorithms, such as Tree Based Models, Neural Networks, etc. Experience with common data science toolkits, such as R, MatLab, Python etc. Excellence in at least ...

Deep experience operating Kubernetes and cloud infrastructure at scale Experience with AI accelerator platforms (GPUs, TPUs, or emerging hardware) Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental ...