1 to 25 of 919 Permanent Algorithms Jobs

Present architectural designs and technical proposals to the architecture review board. â Ability to break down development tasks and lay out clear implementation roadmaps. â Implement and optimize computation algorithms â Design and develop both thin and thick client applications that interact with cloudbased microservices. â Ensure high code quality through unit testing, code reviews, security hardening and continuous integration More ❯

in Computer Science, Math, Engineering, or related field (Master's preferred) with 0-5+ years of experience (depending on the level) Strong understanding of data structures, data modeling, algorithms, and software architecture. Proficient in probability, statistics, and algorithm development. Hands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib). (Bonus) Experience with More ❯

a spectrum of capital market 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 in fast-paced environments, supporting flexible More ❯

experienced Senior Applied Machine Learning Engineer to drive the development and integration of AI-driven solutions within our platform. This role involves leveraging existing AI models and creating custom algorithms to optimize procurement processes, enhance decision-making, and deliver actionable insights for our users. Key Responsibilities: Design, develop, and deploy machine learning models tailored to solving challenges faced by many More ❯

to deploy models into production at scale. Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness. Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision). Monitor, evaluate, and continuously improve models for performance, fairness, and compliance. Prepare clear documentation, dashboards, and More ❯

to deploy models into production at scale. Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness. Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision). Monitor, evaluate, and continuously improve models for performance, fairness, and compliance. Prepare clear documentation, dashboards, and More ❯

Models – Build and maintain sophisticated statistical and machine learning models that drive business decisions and integrate with enterprise systems. Lead Innovation – Design and pilot cutting-edge predictive models and algorithms, testing scalability and implementing successful approaches into production environments. Own Projects End-to-End – Scope, design, implement, and evaluate data science solutions independently, while keeping stakeholders aligned on progress and More ❯

Databricks for ML development and deployment. Hands-on experience with MLOps, CI/CD pipelines, and cloud-based deployment (AWS, Azure, or GCP). Solid understanding of data structures, algorithms, and software engineering principles. Experience working with large-scale datasets and distributed computing frameworks. Experience with deploying Retrieval-Augmented Generation (RAG) pipelines to production. Excellent analytical and problem-solving skills. More ❯

Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills and problem-solving capability. Strong communication skills to work effectively with team members and stakeholders. About Us We specialize in Digital, ERP, and larger More ❯

Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills and problem-solving capability. Strong communication skills to work effectively with team members and stakeholders. About Us We specialize in Digital, ERP, and larger More ❯

Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills and problem-solving capability. Strong communication skills to work effectively with team members and stakeholders. About Us We specialize in Digital, ERP, and larger More ❯

Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills and problem-solving capability. Strong communication skills to work effectively with team members and stakeholders. About Us We specialize in Digital, ERP, and larger More ❯

tasks as assigned. Responsibilities Analyze large and complex datasets to extract actionable insights that will inform business strategies and decisions Develop, implement, and maintain predictive models and machine learning algorithms Collaborate with cross-functional teams to understand business needs and translate them into technical solutions Use statistical methods, data mining, and machine learning to uncover trends and patterns within the More ❯

capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Responsibilities: Research, design, implement, and deploy Machine Learning algorithms for enterprise applications. Assist and enable federal customers to build their own applications. Contribute to the design and implementation of new features. Required Skills: Top Secret clearance with CI or More ❯

technical proficiency in machine learning, adaptability, and a passion for delivering impactful AI solutions in dynamic environments. Key Responsibilities: AI Solution Deployment: Deploy, configure, and fine-tune AI models, algorithms, and platforms to meet client-specific use cases, ensuring seamless integration with existing systems. Model Development & Optimization: Build, train, and optimize machine learning models (e.g., LLMs, computer vision, predictive analytics More ❯

for text, and retrieval augmented generation (RAG). Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects. Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks. Experience with version control systems like Git, enabling effective collaboration and code management. Experience in an ML engineer or data More ❯

cloud environments Rapid prototyping solutions and integrating of new data sources Drive optimization, testing and tooling to improve quality of solutions Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before Collaborate with data architects and software developers to plan and construct the architecture of model deployment Develop and support APIs to serve More ❯

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

12+ years of experience in software engineering or data/AI engineering, with at least 5+ years focused on AI and ML system development. Strong expertise in machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch, Keras), and classical ML tools (Scikit-learn Hands-on experience building production-grade AI and data pipelines using cloud platforms (AWS, Azure, or Google Cloud More ❯

Electrical Engineering, Physics, Statistics, Applied Mathematics or other quantitative fields Fluent English - written and spoken Ability to write production-level code in Python Knowledge of OOP principles, data structures, algorithms and design patterns Back-end development skills, including work with REST APIs Experience with CI/CD process development Comfortable with cloud technologies (e.g. AWS, Azure, Google Cloud Platform) and More ❯

Science, Electrical Engineering, Data Science, Math, or a related field 3-5 years of professional experience in machine learning, MLOps or related fields Working knowledge of machine learning concepts, algorithms, and techniques Expert in software engineering principles and software development methodologies Proficiency in Python Experience with latest MLOps tools and machine learning frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn More ❯

products help solve Boeing's most challenging problems across Commercial Airplanes, Defense Space & Security, and Global Services businesses. Position Responsibilities: Leads activities to develop, document and maintain architectures, requirements, algorithms, interfaces and designs for software systems Leads development of code and integration of complex software components into a fully functional software system Develop software verification plans, test procedures and test More ❯

analyze, and translate customer requirements into initial design of software products Develop, maintain, enhance, and optimize software products and functionalities for systems integrations Develop, document, and maintain architecture, requirements, algorithms, interfaces and designs for software products Participate in the agile software development lifecycle including planning, reviews, and supporting customer meetings Debug and resolve issues identified to ensure reliability and efficiency More ❯

visible impact. Please click here to view the full job description Essential Skills & Experience: Strong fundamentals in statistics, probability, mathematical modeling, and computational thinking. Deep understanding of machine learning algorithms, optimization, architectures, and evaluation. Experience with data engineering workflows, including ETL, pipeline design, and feature extraction. Proficiency in Python and libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain More ❯

test set and create defects based on result patterns 5 to 8 years Experience in quality assurance and/or application development Knowledge of machine learning techniques, data structures, algorithms, statistics Expertise in developing automation pipelines & frameworks for verification of machine learning models Experience in collecting and maintaining data according to test plans/cases. Experience setting up automated test More ❯