1 to 25 of 523 Permanent Algorithms Jobs

able to obtain and maintain a DoD Top Secret clearance with SCI eligibility throughout employment. Expert understanding of programming fundamentals, including advanced data structures, algorithms, object-oriented design, debugging, problem-solving, and version control (e.g., Git). Proven experience with software development methodologies (Agile/Scrum preferred). Strong ...

preprocess complex datasets from multiple sources; assess and improve data quality and new data gathering techniques. Select and apply advanced statistical methods, machine learning algorithms, and LLM techniques to extract actionable insights. Perform model validation, cross-validation, performance monitoring, and robustness testing against evolving cybersecurity threats. Optimize models for accuracy ...

experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking ...

similar platforms) Hands-on experience with Gen AI-assisted software development tools (such as GitHub Copilot, Cursor, Cody or equivalent) Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Less than 6 months of full-time software ...

similar platforms) Hands-on experience with Gen AI-assisted software development tools (such as GitHub Copilot, Cursor, Cody or equivalent) Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Less than 6 months of full-time software ...

into machine learning solutions • Communicate technical insights clearly to stakeholders Continuous Improvement • Monitor model performance and retrain models as required • Identify opportunities to improve algorithms, data pipelines, and system performance • Stay up to date with emerging machine learning technologies and best practices Skills and Experience • Strong programming skills in Python ...

Experience with at least one object-oriented programming language (e.g. Java, Python, C++) Strong understanding of core software engineering principles (data structures, algorithms, problem-solving) Passion for technology, with evidence of coding beyond academic work (e.g. personal projects, GitHub, hackathons) Strong analytical thinking and attention to detail Collaborative mindset with ...

Proven ability to design, develop, and deploy scalable and maintainable machine learning models in a production environment. Deep understanding of statistical methods, machine learning algorithms, and advanced data mining techniques. Proficiency in a statistical/general programming language (e.g., Python, R, Scala), with extensive experience with relevant libraries and frameworks. ...

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 ...

experience building enterprise applications and modern web technologies in production environments • Software Engineering Fundamentals – Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code • Backend Development – Proficiency in Java, Spring Boot, Maven, and Python (Pandas, FastAPI, Flask) for building enterprise applications ...

DynamoDB Lambda, API Gateway ECS/EKS, CloudWatch, IAM Experience with relational and NoSQL databases Proven knowledge of software design principles, data structures, and algorithms Experience with Git, CI/CD pipelines, and automated testing Familiarity with containerization (Docker, Kubernetes is a plus) Preferred/Nice-to-Have Skills: Experience ...

integrating large-scale systems -Experience designing and developing interface contracts between applications, services, external vendors and workflow processes -Strong foundation in data structures, algorithms, and software engineering principles, with proficiency in languages like Java or Python or Scala -Work with cloud platforms (e.g., Azure, AWS, GCP) and big data tools ...

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, 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, 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, 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 ...

Engineers. Nice-to-Have Qualifications Experience with FastAPI or similar async Python web frameworks Experience with Neo4j or other graph databases Experience with graph algorithms and network analysis Experience with Helm and Kubernetes operators Background in data science, statistics, or scientific computing Experience with graph analytics or network analysis Experience ...

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 ...

applied analytics, with the ability to translate complex technical insights into actionable business outcomes. Key Responsibilities Design, build, and deploy predictive models, machine learning algorithms, and advanced analytics solutions to support NEC's mission and strategic goals. Partner with engineering, manufacturing, cybersecurity, program management, and IT teams to identify high ...

developing and evaluating contact automation systems, leveraging Natural Language Processing (NLP) and Applied AI techniques to identify customer problem patterns, create data extraction algorithms, and innovate LLM prompt development for the Wise Assistant. Opportunity Identification & System Enhancement: Proactively identify and pursue new opportunities across the Support space, including designing ...

developing and evaluating contact automation systems, leveraging Natural Language Processing (NLP) and Applied AI techniques to identify customer problem patterns, create data extraction algorithms, and innovate LLM prompt development for the Wise Assistant. Opportunity Identification & System Enhancement: Proactively identify and pursue new opportunities across the Support space, including designing ...

backend technologies. Familiarity with version control systems such as Git and standard development workflows. Understanding of fundamental computer science concepts including data structures, algorithms, and system design basics. Interest in distributed systems, event-driven architectures (e.g., Kafka or similar technologies), and cloud platforms such as AWS. Strong problem-solving skills ...

development of ML-powered products Advanced Python programming skills and a track record of delivering robust software solutions Proficiency with standard deep learning algorithms and model architectures In depth knowledge in machine learning best practices, scalable training and deployment Experience operating in cloud environments (e.g., Azure, AWS, or GCP) Strong ...

with Git for version control. Proficiency in JavaScript/TypeScript and React. Experience with Back End languages: Java, Python or Go. Solid understanding of algorithms, data structures and core software engineering principles. Hands-on experience with Docker. Knowledge of CI/CD pipelines and automated testing frameworks. Strong written ...

paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve ...