libraries (pandas, numpy, scikit-learn) and writing clear, modular, reusable code with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib or Streamlit cloud and tooling : experience with AWS (S3, Lambda, Bedrock, Athena, or SNS), or other cloud services Azure, or GCP; and familiarity with version control (Git/ More ❯
libraries (pandas, numpy, scikit-learn) and writing clear, modular, reusable code with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib or Streamlit cloud and tooling : experience with AWS (S3, Lambda, Bedrock, Athena, or SNS), or other cloud services Azure, or GCP; and familiarity with version control (Git/ More ❯
libraries (pandas, numpy, scikit-learn) and writing clear, modular, reusable code with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib or Streamlit cloud and tooling : experience with AWS (S3, Lambda, Bedrock, Athena, or SNS), or other cloud services Azure, or GCP; and familiarity with version control (Git/ More ❯
TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions More ❯
running command line operations in one or more operating systems: o Windows and/or Linux (command line) Experience with two or more visualization tools packages: o e.g. (ggplot, Plotly, matplotlib, D3, Tableau, bokeh) Experience connecting to two or more database and web data sources: o Database: e.g. Postgres, Oracle, SQLite, and/or Arc SDE o Web: e.g API More ❯
algorithms with R, Python, SQL, or NoSQL. Knowledge of distributed data and computing tools such as Hadoop, Hive, Spark, MapReduce, or EMR. Hands-on experience with visualization tools like Plotly, Seaborn, or ggplot2. Security+ certification. More ❯
problem solving skill set. Familiarity with the Software Development Life Cycle (SDLC) process and its various stages, including experience with JIRA and Confluence. Good to have skills: Familiarity with Plotly and Matplotlib for data visualization of large datasets. Experience with cloud architecture applications such as Dataiku or Databricks; competency with ETL tools. Knowledge of regulatory frameworks, RISK, CCAR, and GDPR. More ❯
experience as a frontend engineer Strong proficiency in JavaScript/TypeScript, HTML, and CSS Experience with modern frontend frameworks (React, Vue, or Svelte) Familiarity with data visualization libraries (D3.js, Plotly, Three.js, etc.) Experience in data-heavy scientific or engineering domains is a bonus Why Join Orbital? Competitive salary commensurate with AI sector Flexible and generous paid time off Excellent health More ❯
