1 to 25 of 1,507 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 ...

with cloud platforms (AWS, Google Cloud, Azure) for deploying ML solutions Experience with data preprocessing, feature engineering, and model selection Knowledge of data structures, algorithms, and software architecture Excellent problem-solving abilities and attention to detail Strong communication skills, with the ability to present complex technical concepts to non-technical ...

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 ...

accredited undergraduate institution required. 5+ years experience with Python 3+ years Spark or other big data processing (Hadoop, Flink) experience Strong foundation in algorithms and data structures and their real-world use cases Experience with CICD processes (GitHub, GitLab, dbx) Expert knowledge of data integration concepts, business intelligence and data ...

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 ...

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 ...

person (mandatory ) Responsibilities: Develop, enhance, and maintain Python-based banking applications with a focus on clean, efficient, and reliable code. Design and implement algorithms, data structures, and solutions to optimize application performance. Build and consume RESTful APIs to facilitate seamless data exchange and integration across banking systems. Develop web applications ...

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 ...

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 ...

Python and Scala to use statistical libraries against data Skilled with big data processing frameworks such as Pig, MapReduce and Spark to scale algorithms over large volumes of data Experience employing combination (2 or more) of analysis, computer science, mathematics, and software engineering skills to devise strategies for extracting meaning ...

Science, Computer Engineering, or equivalent 4-year degree from an accredited institution, with strong fundamentals and problem-solving skills (such as data structures, computational algorithms, and operating systems) or High School diploma with equivalent work experience (9 years +) in the field. Minimum five (5)+ years of experience ...

Qualifications MS or higher in Computer Science, ML, Statistics, Mathematics, or related field 5+ years of Python development experience Strong knowledge of data structures, algorithms, and system design Hands-on experience with ML and LLM development Experience with ML frameworks such as PyTorch, Keras, MXNet, or Scikit-Learn Experience deploying ...

production. Domain Expertise: Deliver AI solutions tailored for healthcare domain. - This is key Must have Skills: Programming: Python (expert), OOP, Data Structures & Algorithms Design Patterns and Software Architecture Python Libraries: NumPy, SciPy, Pandas, Matplotlib AI Frameworks: PyTorch (preferred), TensorFlow, Scikit-learn ML/DL fundamentals Microservices, Containers (Docker), basic Kubernetes ...

optimization. 2. Generative AI Development: Develop and fine-tune generative AI models using frameworks like TensorFlow, PyTorch, or Hugging Face. Implement machine learning algorithms and deploy AI-powered solutions for specific business requirements. Research and experiment with state-of-the-art generative AI techniques (e.g., GPT, Stable Diffusion, Transformers). ...

contribute to design. He will work to implement, and debug parallel algorithms. Analyze performance bottlenecks and optimize computations for maximum efficiency. Document code, algorithms, and procedures clearly for internal and external stakeholders. Technical Skills Must Have Strong mathematical foundation in areas such as linear algebra, calculus, numerical methods, or statistics. ...

methodologies for LLM systems. Familiarity with gradient boosting methods (XGBoost, LightGBM, scikit-learn) applied to structured/tabular data Strong understanding of data structures, algorithms, and distributed computing Preferred Skills Master's degree in Computer Science, Statistics, or related field with ML focus Experience with cloud platforms (AWS, Azure ...