201 to 225 of 1,845 Algorithms Jobs

working as a Software Engineer with one or more domains and/or technologies of expertise Systems and/or application programming skills including algorithms, data structures, concurrency, scaling, testing, infrastructure, software design and system design Experience troubleshooting and analyzing remotely deployed software systems Capacity to work holistically on software ...

Leveraging our proprietary GSmart AI technology, the solution continuously learns from historical cash flows, sales data, and treasury information to automatically select optimal forecasting algorithms and improve accuracy by over 30%. You’ll work on sophisticated Ruby on Rails and React software that turns diverse financial data into clear ...

Grafana, Splunk, Datadog, OpenTelemetry, ELK, or CloudWatch) Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design. Knowledge of networking protocols(VPC) , load balancing strategies in a distributed systems environment , database query performance tuning and identify cause ...

engineers and subsystem teams in hardware-in-the-loop (HIL) and system lab environments Architect, design, and validate software tooling - including test algorithms, scripts, calibration routines, and data visualization - required for verification and validation of complex hardware systems Define and drive tooling best practices across the lab engineering organization, establishing ...

lead with integrity and authenticity, articulating our purpose and values in a meaningful way. In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve ...

knowledge of distributed systems design patterns. Hands on experience another statically compiled language like Golang, Rust or C++.Awareness of key architectural patterns/approaches, algorithms, data structures, cryptography, security protocols (e.g., TLS and OAuth/OIDC), secure system design and Threat Modelling. Certified Kubernetes and public cloud knowledge (e.g. CKAD ...

powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

Golang) or C++AWS/GCP/Azure/KubernetesKafkaGITCassandraDockerRedisWhat You'll Need:Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etcBeing a team playerA thorough understanding of engineering best practices from appropriate testing paradigms ...

dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning ...

agentic AI frameworks. Establish engineering best practices for safe, scalable, traceable and production ready AI deployments across internal platforms and external product suites. Strong algorithms, data structures, problem solving skills, and ability to translate business problems into scalable solutions. Good command of coding standards and Strong understanding of both high ...

background on Rotageek Rotageek helps businesses optimise staff scheduling through data-driven technology. By combining machine learning and advanced algorithms, we help organisations forecast demand, improve workforce management and give employees greater control over their schedules. Our solutions drive operational efficiency, improve customer experiences and help reduce staff turnover across ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

behind Asset Backed Trading Own event driven flows from trigger to dispatch: queues, lambdas, events, and the Flex API integrations around them Productionise new algorithms and market capabilities, working closely with data scientists so prototypes become reliable services Help with team discovery for new epics, spanning software architecture and energy ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. ...

advancing data science initiatives that support the company's growth. ResponsibilitiesLead and manage a team of data scientists to deliver high-impact data models, algorithms, and insights for various business units. Develop and execute data science projects, ensuring alignment with business objectives and timely delivery. Guide the team in applying ...

least one language, and comfortable becoming productive in others as projects demand. A good grasp of core computer science concepts: data structures and algorithms, concurrency, networking, APIs and interfaces, testing, and the basics of software security. The ability to reason about a system you did not build: read unfamiliar code ...

broader AI deployment team and scale what's possible across engagementsPartner with the Braze Product team to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forwardShape BrazeAI product strategy and roadmap by bringing customer-facing insights and deep technical expertise ...

Global, Inc. (San Francisco, CA) seeks a Senior Data Scientist. Design and implement machine learning models and scalable data pipelines; develop predictive algorithms; conduct statistical analysis; deploy models in distributed/containerized environments. Req'd: Bachelor's degree in Electronics, Computer Science, Data Science, Computer Engineering, or related technical field ...

possibilities. Responsibilities Lead data science projects from conception to deployment, ensuring high‐quality and timely delivery. Develop and implement statistical models and machine learning algorithms to solve complex business problems. Collaborate with cross‐functional teams to integrate data science solutions into production systems. Mentor junior data scientists and provide guidance ...

Java Developer will: Work closely with the Head of Trading and the Quant Team and assist in design and development of new trading algorithms, mainly in JavaHelp engineer a new greenfield low latency trading platformWork on connectivity to Financial ExchangesImprove/maintain existing strategiesDevelop utility applications and excel tools ...