51 to 75 of 407 Algorithms Jobs

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

professional experience in a technical support, SRE, or operations role within a fast‐paced trading or financial environment. Proven aptitude for understanding complex algorithms, data structures, and software design principles relevant to high‐performance systems. Solid understanding of Linux operating system internals and networking concepts. Strong analytical and problem‐solving ...

Experience with Gradle/Maven, CI/CD (e.g. Jenkins, GitLab), static analysis tools (e.g. SonarQube), and test automation.* Optimisation Mindset: Good knowledge of algorithms, being able to quickly understand runtime complexity and offer alternative implementation. Good knowledge of data structures, understanding query patterns and being able to offer ...

distributed KV cache optimization. · Proficiency in C/C++, with additional experience in Python for research prototyping. · Solid grounding in systems research methodology, distributed algorithms, and profiling tools. · Team-oriented mindset with effective technical communication skills. Desired Qualifications and Experience: · PhD in systems, distributed computing, or large-scale AI infrastructure. ...

ideal for candidates with knowledge of at least one programming language such as Go, Java, Python, or C++, along with a solid understanding of algorithms and data structures. Nebius is looking for motivated individuals who are eager to learn, ready to take on complex technical challenges, and excited to grow ...

ideal for candidates with knowledge of at least one programming language such as Go, Java, Python, or C++, along with a solid understanding of algorithms and data structures. Nebius is looking for motivated individuals who are eager to learn, ready to take on complex technical challenges, and excited to grow ...

collaborating with cross-functional teams to integrate intelligent systems into ShopQuick's operations. The AI/ML Engineer will also be responsible for optimizing algorithms, monitoring performance metrics, and staying updated with advancements in machine learning technologies while applying them to real-world challenges. Qualifications Experience in Machine Learning ...

. · Algorithm Versatility: Apply a wide range of ML techniques, including time-series forecasting (e.g., Prophet, XGBoost, LSTMs), statistical modelling, Bayesian Modelling and optimization algorithms (e.g., Operations Research, Linear Programming) based on the specific use case. · Scenario Simulation: Build models that allow business users to simulate various operational scenarios (e.g. ...

novel medical diagnostic product Responsibilities: Development of software for our current and future instruments, including algorithm development, processing code and middleware. Writing code and algorithms in accordance with good Software practise - Experience of relevant standards and medical device regulations would be beneficial (e.g. ...

Responsibilities: Design and implement C/C++ software for embedded devices (bare‐metal and RTOS) used in industrial control systems Develop real‐time control algorithms (e.g., PID, state‐based control) for sensors, actuators, and power systems Produce work break down structures and define work packages for execution in JIRA tasks ...

Responsibilities: Design and implement C/C++ software for embedded devices (bare‐metal and RTOS) used in industrial control systems Develop real‐time control algorithms (e.g., PID, state‐based control) for sensors, actuators, and power systems Produce work break down structures and define work packages for execution in JIRA tasks ...

Responsibilities: Design and implement C/C++ software for embedded devices (bare‐metal and RTOS) used in industrial control systems Develop real‐time control algorithms (e.g., PID, state‐based control) for sensors, actuators, and power systems Produce work break down structures and define work packages for execution in JIRA tasks ...

LLMs Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. Solid grounding in systems research methodology, distributed algorithms, and profiling tools. Proficiency in C/C++, with additional experience in Python for research prototyping. Team-oriented mindset with effective technical communication skills ...

years of experience with Java and the Spring framework ; Proven experience of backend software development experience in gambling industry ; Confident understanding of design patterns, algorithms, and data structures; High coding standards; Experience with any SQL (MySQL/PostgreSQL); Team player with good communication skills. Extra expertise we appreciate: Experience with ...

code that makes it into the product directly impacts the lives of people being cared for Strong computer science fundamentals in object-oriented design, algorithms and data structures Self-starter, analytical and creative Strong team player with a positive attitude Experience writing clean, testable, high-quality code Good understanding ...

narrative behind performance, outcomes and trends Assess the viability and impact of new implementations and operational changes Forecast and predict performance metrics using models, algorithms and statistical techniques Prepare cohort performance statistics and longitudinal analysis Create compelling, insight-led storytelling reports for technical and non-technical audiences Liaise with stakeholders ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...