1 to 25 of 424 Algorithms Jobs

cost-effectiveness. • Apply critical thinking to analyse requirements, architect solutions, and troubleshoot complex technical challenges • Develop and maintain comprehensive documentation for AI solutions, algorithms, and engineering processes • Evaluate and integrate third-party AI tools and libraries as needed, applying rigorous software engineering standards • Optimise and fine-tune generative models ...

products. Required Qualifications Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience Strong background in Computer Science fundamentals including algorithms, data structures, computational complexity. Non-Technical Skills Excellent communication skills and teamwork is a must Experience collaborating efficiently within a global team. Demonstrable experience ...

have advanced analytical and problem solving skills with a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Deign Patterns, Algorithms You have commercial Golang development experience (likely to have a background with other OO languages such as Python, Java, C++ but you must be happy ...

with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes ...

with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes ...

unsupervised learning, model evaluation, overfitting, etc.) Experience with common ML libraries such as PyTorch, TensorFlow, scikit-learn , or similar Solid foundation in data structures, algorithms, and software engineering principles Strong problem-solving skills and attention to detail Excellent communication skills and a willingness to learn Desirable (Nice to Have) Experience ...

analysis (EDA) to uncover trends and insights. • Automate reporting and data extraction processes for business teams. • Develop and deploy predictive models and machine learning algorithms for business use cases. • Conduct statistical analysis, feature engineering, and model optimization. • Implement A/B testing frameworks to validate hypotheses and business decisions. • Work ...

Team's work. Knowledge, Skills, Experience & Qualifications 3+ years professional experience with modern Python or C++. Proficiency in C++: good knowledge of data structures, algorithms, and design patterns. Proficiency in Python: ability to prototype, write scripts, and do the data manipulation along with integration with C++ code. Experienced in setting ...

computer engineering, or a related engineering field. Master's degree preferred. Advanced proficiency with Python, Java, and Scala. Strong computer science fundamentals such as algorithms, data structures, multithreading. Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG. Experience using ML and DL Libraries: XGBoost, SKlearn ...

most exciting areas of technology today. As an AI Researcher, you will design, investigate, and develop novel AI models and algorithms that enhance client experience and create business value. You will work closely with architects, engineers, and business leaders to align research efforts with Schwab's enterprise strategy. You will ...

most exciting areas of technology today. As an AI Researcher (Azure & Copilot), you will design, investigate, and develop novel AI models and algorithms in the Microsoft Azure and Copilot ecosystem. As an expert in Microsoft Copilot, Azure AI Foundry and AI Agents, you will be developing AI agents and creating ...

documenting test results and modeling against real-world data, test data, benchmarks, or other similar models Leads the documentation and maintenance of technical code, algorithms, specifications and descriptions of simulation models Partners with cross functional engineering teams to lead integration of simulation software with hardware devices and systems Leads implementing ...

software development, testing, and documentation Required Qualifications Strong programming skills in Python , C++ , or C# Solid foundations in computer science, including data structures and algorithms Experience working with large datasets and time-series data Familiarity with Linux/Unix environments and version control tools (e.g., Git) Strong analytical thinking ...

organisations wider data and AI strategy. Role Responsibilities Collecting, cleaning, validating, and preparing data from multiple sources Designing and implementing data models and algorithms to address business challenges Building, testing, and deploying predictive analytics and machine learning solutions Visualising data and communicating insights clearly to technical and non-technical stakeholders ...

optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/ ...

data processing, analysis, and model creation. Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency. Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model ...

APIs to support accurate risk analytics. Data Quality & Remediation Detect and remediate common market data issues including gaps, stale data, outliers, and misalignments. Implement algorithms for gap-filling, back-filling, and anomaly correction to ensure data is fit for VaR and SVaR calculations. Support ongoing improvements to data quality controls ...

degree in Computer Science or closely related field. 3-5 years of functional programming (preferably Clojure) Strong CS skills such as data structures, algorithms, and problem solving. Build and CI tools such as git, Gradle, Leiningen, Clojure deps, CircleCI or Jenkins. Solid familiarity with Linux based operating systems such ...

most exciting areas of technology today. As an AI Researcher, you will design, investigate, and develop novel AI models and algorithms that enhance client experience and create business value. You will work closely with architects, engineers, and business leaders to align research efforts with Schwab's enterprise strategy. You will ...

Junior Data Scientist, you will: Transform raw data into meaningful insights that drive strategic decision-making. Develop and implement predictive models and algorithms to enhance our products and services. Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions. Design and conduct experiments to validate ...

mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise ...

Python solutions that bring mathematical models to life. 🛠 What you’ll do: Build, maintain, and improve Python modules for analytics and optimization. Implement advanced algorithms for forecasting, econometrics, and marketing mix modeling. Handle large-scale data and optimization challenges while keeping performance and scalability in mind. Apply software engineering best ...

Azure technologies Required Qualifications Bachelors degree in Computer Science Data Science Engineering or related field Basic understanding of machine learning concepts and algorithms Familiarity with Python or R for data analysis and model development Exposure to Microsoft Azure services especially Azure Machine Learning and Cognitive Services Strong analytical and problemsolving ...

communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Preferred Qualifications: Deep understanding of various ML algorithms (supervised, unsupervised, reinforcement learning) and popular ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Deep understanding of MLOps principles and their implementation on GCP using ...

communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Preferred Qualifications: Deep understanding of various ML algorithms (supervised, unsupervised, reinforcement learning) and popular ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Deep understanding of MLOps principles and their implementation on GCP using ...