consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle Strong object-oriented programming skills and experience working with Python, PyTorch and NumPy are desirable Experience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you don't need to have all of the above Excellent ML reasoning More ❯
Science with reasonable industry experience, or an MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data More ❯
with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal More ❯
of. • 5+ years of Data Science development experience using Python • Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations. • Strong proficiency in numpy & pandas. • Demonstrated skills with Jupyter Notebook or comparable environments • Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking. Qualifications We Prefer: • Degree in Data More ❯
LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methodsExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goalsExperience with big data and More ❯
SQL databases and dashboarding software such as Power BI or Tableau is important. Familiarity with programming languages such as Python or R and their associated data analysis libraries (e.g., NumPy, Pandas, scikit-learn) is a plus. Statistical Expertise: Strong understanding of statistics, including descriptive statistics, regression, probability, sampling, and hypothesis testing. Communication: Excellent written and verbal presentation skills, with the More ❯
to apply. 5+ years of hands-on experience in machine learning/computer vision. Proficient in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, Pillow, and deep learning tools like PyTorch and TensorFlow; also experienced with Swift (OpenStack client). Proficient in writing and optimizing SQL queries for data retrieval, analysis, and management Experience More ❯
Chantilly, Virginia, United States Hybrid / WFH Options
The DarkStar Group
you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr … with interfacing with customer stakeholders to align on requirements and technical implementations Required Skills Minimum 3-5 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Desired Skills (Optional) Experience with Python ORM tools for More ❯
Herndon, Virginia, United States Hybrid / WFH Options
The DarkStar Group
you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr … with interfacing with customer stakeholders to align on requirements and technical implementations Required Skills Minimum 3-5 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Desired Skills (Optional) Experience with Python ORM tools for More ❯
working knowledge of software technologies used to support scientific operations in radio astronomy or related fields, including proficiency in Python, C++, Git, basic Linux administration, the use of the NumPy, SciPy and AstroPy scientific software libraries, and OpenMP Competency Summary An understanding of formal software engineering principles including design, documentation, ticketing systems, version control and testing frameworks Experience with large … Python and/or C++ and associated software life cycles. Experience in design and development using modern high performance computing platforms and frameworks such as Dask, Xarray, Numba/Numpy, CuPy or C++ for GPU acceleration, Docker/Kubernetes, Prefect, Jupyter, Bokeh, etc. Familiarity with basic astronomical principles and data reduction Demonstrated ability to learn new scientific concepts and apply … them to engineering implementation, ideally in radio astronomy and interferometry Experience with scientific software development, numerical processing techniques, and mathematical packages such as Python/numpy Experience with CASA (or similar data reduction package) Additional Requirement For a scientific staff appointment, the candidate must have a demonstrated record of scientific research publications. Total Rewards: Associated Universities, Inc. (AUI) offers a More ❯
working knowledge of software technologies used to support scientific operations in radio astronomy or related fields, including proficiency in Python, C++, Git, basic Linux administration, the use of the NumPy, SciPy and AstroPy scientific software libraries, and OpenMP Competency Summary An understanding of formal software engineering principles including design, documentation, ticketing systems, version control and testing frameworks Experience with large … Python and/or C++ and associated software life cycles. Experience in design and development using modern high performance computing platforms and frameworks such as Dask, Xarray, Numba/Numpy, CuPy or C++ for GPU acceleration, Docker/Kubernetes, Prefect, Jupyter, Bokeh, etc. Familiarity with basic astronomical principles and data reduction Demonstrated ability to learn new scientific concepts and apply … them to engineering implementation, ideally in radio astronomy and interferometry Experience with scientific software development, numerical processing techniques, and mathematical packages such as Python/numpy Experience with CASA (or similar data reduction package) Additional Requirement For a scientific staff appointment, the candidate must have a demonstrated record of scientific research publications. Total Rewards: Associated Universities, Inc. (AUI) offers a More ❯
validation and regular file verification 20. Enhance reporting accuracy, ensure data reliability, and minimize manual intervention in critical business processes. 21. Utilize Python's advanced libraries, including Pandas and NumPy, to perform statistical modeling and predictive analytics on clinical trial data. Travel and Relocation Requirements: The only travel required is when the Applicant relocates to unanticipated client locations anywhere in … integration across various sources, with S3 for scalable storage of raw and processed data. Applying statistical modeling and advanced analytical methodologies in Python (using libraries such as Pandas and NumPy) to derive actionable insights and interpret complex data. Migrating on-premise data to AWS with minimal downtime and developing serverless functions to automate data processing tasks, enabling real-time analytics … and improving operational efficiency. Proficiency in Python (with libraries like Pandas and NumPy), AWS (S3, Lambda, Glue, RDS), SQL, ETL tools, Git, and cloud-based services for deploying analytics solutions and managing scalable data pipelines. Bachelors degree (or its foreign equivalent) in Data Science, Information Technology, or closely related field. Please copy and paste your resume in the email body More ❯
enable decision-making at scale. Core Responsibilities Gather and reformat data from Government-identified primary and secondary sources for human and machine analysis. Use Python-based statistical tools (e.g., NumPy) and GIS tools (e.g., ArcGIS) to analyze datasets and identify trends, patterns, and insights relevant to mission outcomes. Prepare analytical reports that clearly communicate findings to executive leadership in the … of relevant experience applying data analysis principles, including predictive analytics and working with on-prem and cloud-based data systems. Intermediate proficiency with Python, including use of libraries like NumPy or pandas. Familiarity with business intelligence (BI) methodologies, API integrations, and database design. Demonstrated ability to identify trends and build diagnostic or predictive models. Experience preparing data-driven deliverables for More ❯
HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats. Job Description More ❯
