51 to 75 of 112 NumPy Jobs

Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work More ❯

Skills & Experience: Essential - Demonstrable experience in Machine Learning, NLP, and GenAI including LLM/SLM fine-tuning and prompt development. Proficiency in Python and data libraries such as Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow. Practical knowledge in SQL/NoSQL databases and API development/integration. Proven ability to analyze model performance and optimize for accuracy, efficiency, and scalability. More ❯

await patterns * Data structures and algorithms for efficient data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture More ❯

await patterns * Data structures and algorithms for efficient data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture More ❯

development environment Preferred Qualifications: 2-5 years Python work experience Any GUI development experience (Qt/PyQt would be ideal) Experience with Python data science libraries such as Pandas, Numpy, and Scipy XMIDAS familiarity C/C++ Code Management (Git would be ideal) Familiarity with the Atlassian tools (JIRA, Stash, Confluence, and Jenkins) and Gitlab Ability to analyze and improve More ❯

5+ years of experience developing AI/ML applications, data science, or algorithm development Experience with Python and data science/machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.) Experience with one or more of the following: Applying unsupervised and/or supervised machine learning techniques Applying and/or developing algorithms based in More ❯

analysis, and root-cause analysis Working knowledge of basic analysis using tools such as Microsoft Excel, Microsoft Power BI, Qlik, Databricks, Tableau, and/or Python (with Pandas, Matplotlib, NumPy, SciPy, Seaborn, etc.) Experience drafting U.S. Navy documents and administrative products (instructions, TACMEMOs, publications, naval messages, etc.) At least 4 years of recent experience leading and training functional teams in More ❯

Data Analytics or AI Concentration) or related degree Technical Skills: Programming & Data Tools Proficiency in Python and R for machine learning and data analysis. Experience with libraries like Pandas, NumPy, and scikit-learn for data manipulation and model building. Familiarity with data visualization tools such as Matplotlib or Plotly. Machine Learning & Model Development Experience developing and fine-tuning machine learning More ❯

Top Skills: - Python - Machine Learning - JavaScript - Numpy and Pandas is a plus - This position requires an active DoD Clearance (Secret, Top Secret, Top Secret/SCI) or the ability to be obtain an (Interim Secret, Interim Top Secret) - Because an active or interim DoD clearance is required, U.S. Citizenship is required Eligibility requirements apply to some benefits and may depend More ❯

Python with 2-5+ years of hands-on experience Familiarity with AI/ML concepts, or strong interest in learning quickly Experience with data processing tools (e.g., pandas, NumPy) Comfort working with JSON, APIs, and automation workflows Prior experience in a secure or classified environment is preferred Clearance: MUST HAVE active TS/SCI with CI poly More ❯

academic and industry advances in temporal modeling and deep learning. Document methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In-depth knowledge of machine learning for time-series, including RNNs, LSTMs, GRUs, transformers, attention mechanisms. Solid understanding of probabilistic models (HMMs, Bayesian inference More ❯

DC/Northern Virginia with occasional travel to client sites. A degree in Computer Science or a related field. 3+ years of hands-on experience with Python coding (pandas, numpy, sklearn, TensorFlow, PyTorch, etc.). Proven experience deploying machine learning models into production environments. Proficiency with SQL/NoSQL databases, version control tools (e.g., Git), Docker, and Kubernetes. Strong ownership More ❯

Chatbors, particular voice, is a must-have. Strong recent hands-on capabilities in Python are a must-have. Experience with a microservice environment using tools such as Jupyter, Pandas, Numpy, Fast API, and SQL alchemy is a must. Srong's understanding of deploying and supporting LLM’s in a production environment is a must-have. An interest and understanding of More ❯

Object Detection and LLM analysis implementation LLM fine tuning Machine Learning & AI Libraries including: Transformers/Hugging Face Python expertise with an understanding of object-oriented programming Pandas, PyTorch, Numpy SQLAlchemy, Boto3 AWS - Lambda, S3, CDK API Development Design and implementation of AI/ML solutions Excellent communicator Strong stakeholder management Keen collaborator The above is not exhaustive. For further More ❯

Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data structures More ❯

Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data structures More ❯

years of experience in data science, machine learning, or software development. Proficiency in programming languages such as Python, R, Java, or Scala. Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn). Strong understanding of machine learning frameworks (e.g., scikit-learn, TensorFlow). Hands-on experience with HPC environments, cloud computing, and containerization technologies. Familiarity More ❯

in Computer Science (or related field). 3+ years of experience writing production-grade Python code. 3+ years of hands-on experience with core Python data libraries (e.g., pandas, numpy, sklearn, tensorflow, pytorch, matplotlib). At least 1 year of experience deploying machine learning models in production environments. 1-2 years of experience working with SQL/NoSQL databases (e.g. More ❯

science, machine learning, or software development Bachelors Degree in related field Proficiency in programming languages such as Python, R, Java, or Scala. Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn). Strong understanding of machine learning frameworks (e.g., scikit-learn, TensorFlow). Hands-on experience with HPC environments, cloud computing, and containerization technologies. Familiarity More ❯

benefits) or 1099 employment options. Required: Demonstrated experience with Python, Jupyter demonstrated experience with Machine Learning, including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow Exposure to/understanding of network data analysis (IP traffic)using Bro/Zeek, TShark/PyShark, or other network analysis tools Desired: Demonstrated experience with one More ❯

Significant experience in data science or a quantitative academic field. Strong programming background; must be able to quickly become fluent in Python . Proficiency with key data science libraries (NumPy, Pandas, Scikit-Learn) and experience with deep learning frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/ More ❯

optimizations Write application specifications and documentation Articulate methodologies, experiments, and findings clearly in actionable way. Work in a fast-paced environment. REQUIRED QUALIFICATIONS: Candidates must have extreme fluency in numpy and pandas Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study. No experience in lieu of. 5+ years of Data Science development experience More ❯

integration layers. Qualifications A Bachelor's degree in Data Science, Computer Science, Statistics, or related field. Or, HS and 4 years of relevant experience. Demonstrated proficiency in Python (Pandas, NumPy), R, and SQL. Experience with visualization tools: Tableau, Power BI, Matplotlib, Seaborn. Solid understanding of statistical methods and hypothesis testing. Familiarity with AWS or other cloud platforms is a plus. More ❯

for individuals with excellent verbal and written communication and a strong troubleshooting and problem-solving skills. We are looking for knowledge and expertise of: Python data science packages: Pandas, numpy, scikit-learn, pytorch... Machine Learning techniques: Neural Networks, XGBoost, ... Pipelines and deployment technologies: Azure DevOps, docker, GitHub actions, ... A good understanding of architecture and design patterns Committed to More ❯

for individuals with excellent verbal and written communication and a strong troubleshooting and problem-solving skills. We are looking for knowledge and expertise of: Python data science packages: Pandas, numpy, scikit-learn, pytorch... Machine Learning techniques: Neural Networks, XGBoost, ... Pipelines and deployment technologies: Azure DevOps, docker, GitHub actions, ... A good understanding of architecture and design patterns Committed to More ❯