We use:Snowflake Database, Python,FastAPI, OpenAI APIs, Sklearn, Streamlit, Facebook Prophet, Decision
We use:Snowflake Database, Python,FastAPI, OpenAI APIs, Sklearn, Streamlit, Facebook Prophet, Decision
various assignments providing regulatory and/or safety support;Knowledge of programming languages such as Python
analytics.The objective of the internship is to develop accurate floor cleaning classification models and python
similar technologies), Docker, Kubernetes and similar, design and implementation of automation scripts( Python
Enjoys maintaining scripts in Bash and/or Python to automate boring tasks.
Studio, including model building, training, and deployment.Proficient in programming languages like Python
usable information.Skills and abilitiesStrong interpersonal skills requiredData Science & programming: Python
languages:Ruby in the backend (for APIs and crawlers).Typescript in the frontend (for our React SPA).Python
customer-centric Proven knowledge of one or more object oriented programming or scripting languages (Python
nature-related/LCA databases is an asset;Excellent analytical and technical skills (skilled user in Python
Experience with Python for deep learning is a plus.Eager to learn about new trends in hardware and in
hands-on coding experience of at least one of the following Spark, Scala, Java or production grade Python
Expertise in using analytics tools and software (e.g., SQL, Python, R, Tableau, Google Analytics).
Excellent command of Python and proficiency with relevant libraries, including but not limited to NumPy
lifecycle management and execution Hands on experience developing applications using Java, JavaScript or Python
. • Very good knowledge of programming in Python (programming in R is considered an asset). • Very good
We also have several Python services, mainly to run ML models developed by our data scientists.We monitor
EXPERTISE AND TECHNOLOGIES• Proficiency with back-end languages and frameworks such as Java, PHP/HTML, PYTHON
Excellent command of Python and proficiency with relevant libraries, including but not limited to NumPy
practicesCI/CD tooling (Jenkins/Cloudbees CI, Nexus, Bitbucket/git, or equivalent)Automation/scripting (Python