1 to 25 of 1,545 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 ...

have a common blueprint. Work with large datasets and solve difficult analytical problems, applying advanced methods. Lead the invention of new approaches and algorithms for tackling data-intensive problems. Build and refine accurate forecasting models using Python. Investigate frameworks to determine the best framework for analyses, reports and data visualizations. ...

tools like SageMaker, Lambda, EC2, and S3. Experience in developing full-stack software applications (JavaScript, Python, Java, etc.). Solid understanding of data structures, algorithms, and system design. Experience & Background: Extensive experience in machine learning model development, including natural language processing (NLP). Experience with model evaluation, optimization, and performance ...

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 ...

/or R for AI/ML development Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, Keras) Knowledge of AI/ML algorithms and techniques (supervised/unsupervised learning, neural networks, NLP) Familiarity with cloud AI platforms (Azure AI, AWS SageMaker, Google Cloud AI) Understanding of data manipulation libraries ...

developing and deploying AI/ML models in production environments. Programming: Python (including packaging, testing, performance optimization). ML Expertise: Deep understanding of algorithms, model selection, training/validation/optimization, and evaluation at scale. Data Skills: data preprocessing, feature engineering, and data visualization for decision support. Deep Learning & MLOps ...

system integrations. Familiarity with vector databases and embedding-based systems. Experience with cloud platforms (AWS, GCP, or Azure). Strong foundation in data structures, algorithms, and system design. Preferred Qualifications Experience with model fine-tuning, training, and evaluation workflows. Familiarity with deep learning frameworks such as PyTorch or TensorFlow. Experience ...

readiness forecasting, and mission-critical insights for Navy enterprise systems. Key Responsibilities Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources Create interactive dashboards and visualizations to communicate analytical findings ...

must Hands-on Web application/APIs Development experience is a must Profciency in asynchronous/multi-threaded programming Strong knowledge of algorithms, data structures, complexity, optimization, caching and security Experience with JSON, SOAP, Rest, XML, XHTML, XSD and XSLT Strong knowledge of object-oriented concepts and Database concepts Experience ...

clearance with SCI eligibility and maintain this clearance level during their employment Solid understanding of programming fundamentals, including but not limited to: Data Structures, algorithms, object-oriented programming, debugging, problem-solving, and version control (e.g. Git). Exposure to software development methodologies. AI Inference Framework Experience (Ollama, LM Studio, etc. ...

e.g., Gurobi, CPLEX, OR-Tools) Familiar with secure coding standards and processes, including OWASP, code scans, and other processes. Solid understanding of machine learning algorithms and model evaluation techniques Experience in developing and maintaining applications built on Java, Oracle, and/or other related platforms. Experience in container-based computing ...

practical engineering skills and exceptional client communication abilities. You will work end-to-end from project initiation through client delivery, comfortable both building sophisticated algorithms and presenting findings directly to clients. You excel at automating repetitive tasks and developing reusable frameworks that scale across multiple engagements. You should be comfortable ...

whether through education or experience. Demonstrated experience developing proof of concepts of new technologies and evaluating the state of the art in machine learning algorithms for text analytics whether through education or experience. Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow whether through education or experience. Demonstrated ...

C#, .Net Framework and .Net core. One or more primary languages such as Python, Java, JavaScript/TypeScript, are good to have. Data Structures & Algorithms : Mastery of arrays, linked lists, and maps to build optimized and efficient code. Version Control : Expert use of Git and platforms like GitHub or Bitbucket ...

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 ...

solve complex mission problems Build predictive and prescriptive analytics solutions to support operational and strategic decision-making Evaluate model performance and continuously improve algorithms through testing and tuning Data Analysis & Exploration Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies Perform data cleansing, feature engineering, and transformation ...

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 ...

with 4 years of experience. Proficiency in one or more modern programming languages such as Python, C++, or Java with an understanding of algorithms and data structures. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model ...

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. ...

Architect and develop advanced software systems that support cutting-edge AI research and experimental prototypes. Collaborate closely with scientists and researchers to translate novel algorithms, models, and concepts into functional prototype systems. Design and implement flexible research platforms that enable rapid experimentation, evaluation, and iteration. Contribute to the development ...

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 ...

product development and business strategies Creating new, experimental frameworks to collect data Building tools to automate data collection Develop custom data models and algorithms to apply to data sets Design, build, train, and deploy machine learning models and data products for enterprise use Translate business and operational needs into scalable ...