Python, Scala and HCL. What we speak when we're not coding?
Python, Scala and HCL. What we speak when we're not coding?
Python, Scala and HCL. What we speak when we're not coding?
Strong proficiency in programming languages such as Rust, Node.js (JavaScript/TypeScript) and Python.
Strong proficiency in programming languages such as Rust, Node.js (JavaScript/TypeScript) and Python.
We use: Snowflake Database, Python, FastAPI, OpenAI APIs, Sklearn, Streamlit, Facebook Prophet, Decision
Knowledge of SQL (Oracle) is highly recommended Knowledge of Python or other scripting languages (along
Extensive knowledge of Python ML frameworks (Pytorch, TensorFlow, Keras), ML development lifecycle tools..detection to enhance system performance trends.Proficiency in designing, developing and maintaining Python
European Qualification Framework (Master's degree of 5 years).KNOWLEDGE AND SKILLS:- Proficiency in Python
professional experience in deploying machine learning models in BI solutions (e.g. integration Power BI-Python
Technical Proficiency: Familiarity with graph database systems, and coding languages (e.g., SQL, Python
Minimum 5 years of combined experience coding in any of the following languages: Erlang, Java, Ruby, Python
You are proficient in SQL, SAS or Python or other programming languages.
algorithms & principles (regression trees, neural networks etc.).Demonstrated ability in utilizing Python
familiarity with databases like MySQL & MongoDB.Your expertise includes server-side languages including Java/Python
(AWS, Azure, Google cloud) Back-end experience, preferably building APIs with Spring boot and/or Python
Expertise in using analytics tools and software (e.g., SQL, Python, R, Tableau, Google Analytics).
hands-on coding experience of at least one of the following Spark, Scala, Java or production grade Python
preferred.An understanding of SQL database design and multiple programming languages including Java/Python
software solution recommendations.Knowledge of the following tools: SQL, SAS, Harry Pilot, Spotfire, Python
issues in the banking sector.Understand departmental and company needs.Develop automated codes (e.g., Python..junior data scientists into product teams and maintain team cohesion.Proficiency in languages like Python
