51 to 65 of 65 Permanent Jupyter Jobs

collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). ...

collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). ...

patents or conference presentations related to AI or data science in finance. Technical Skills Programming: Python (pandas, scikit‐learn, TensorFlow/PyTorch), R, SQL, Jupyter notebooks and version control (Git). Machine Learning: regression, classification, clustering, tree‐based models, neural networks, MLOps practices and model deployment. Data Platforms: relational ...

delivering business value Proficiency in Python and ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow) Experience with AI/ML tools (e.g., Jupyter, MLflow, Vertex AI, Azure ML, Amazon SageMaker Experience of creating delivery client-facing proof of concepts Strong knowledge of cloud platforms (Azure, AWS, GCP) and MLOps ...

Strong hands-on experience with, programming & Analytics: Python, SQL, Scikit-learn, TensorFlow Data & Cloud: AWS (Athena, S3, Redshift), data warehousing, ETL pipelines Visualisation & Tools: Jupyter, Visual Studio Code, Microsoft Excel, dashboards and reporting solutions Development Environments: Linux/Ubuntu, Git/Bitbucket, Jira, Confluence Familiarity with JavaScript, jQuery and Microsoft ...

Strong hands-on experience with, programming & Analytics: Python, SQL, Scikit-learn, TensorFlow Data & Cloud: AWS (Athena, S3, Redshift), data warehousing, ETL pipelines Visualisation & Tools: Jupyter, Visual Studio Code, Microsoft Excel, dashboards and reporting solutions Development Environments: Linux/Ubuntu, Git/Bitbucket, Jira, Confluence Familiarity with JavaScript, jQuery and Microsoft ...

solving skills: Able to decompose messy, real-world problems and craft tailored solutions. Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar) Confident with data cleaning, analysis, transformation, and visualisation. Excellent communication: Advanced written and spoken English; concise, direct, and audience-appropriate (technical + ...

looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation: experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer ...

employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow ...

Python Databricks/Apache Spark SQL Pandas/NumPy Git REST APIs Cloud technologies (Azure or AWS) Numerix (or equivalent pricing/risk platform) Jupyter/notebook-based analytics workflows Requirements 1-3 years' commercial Python development experience Strong understanding of data structures and software engineering fundamentals Experience working with ...

solutions Data processing & orchestration Apache Spark understanding of distributed data processing architecture and execution Apache Airflow configuring DAGs and managing task orchestration at scale Jupyter Notebooks for exploratory data analysis and pipeline prototyping Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3) Data analysis skills ...

Python, SQL, and familiarity with PySpark Experience using Apache Airflow for task orchestration Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena to query and validate data Data analysis to identify root cause of issues Understanding of dimensional data models and slowly changing ...

serving and inference platforms (e.g. KServe, vLLM, or equivalent) Supporting LLM-based workloads, including optimisation and serving considerations Providing notebook-based environments such as JupyterHub in secure platforms Exposure to emerging tooling such as InstructLab, Trustworthy/Responsible AI tooling, or comparable solutions Desirable experience Building internal platforms specifically ...

those teams have. Fluent in how data and quant teams actually consume APIs today. Parquet, DuckDB, Polars, Snowflake shares, not just pandas in a Jupyter notebook. You can rip through a notebook live on a call. Exposure to MEDDPICC/MEDDICC. Nice to have Prior IC background in a technical ...

Glue, AWS EMR, AWS EC2, AWS ECR, AWS DynamoDB, AWS CloudWatch, AWS IAM, Python, Java, SQL, Bash, GitLab CI/CD, Jupyter Notebooks, Apache Spark, Terraform, Docker Key Skills Strong proficiency in Python, Java, SQL, and Scripting (eg, Bash) Experience with Apache Airflow for orchestration and log analysis Hands … services (S3, Glue, Athena, EMR, CloudWatch, IAM, DynamoDB, EC2, ECR) Experience using GitLab and GitLab CI/CD pipelines Ability to analyse data using Jupyter Notebooks and Amazon Athena Understanding of Apache Spark and EMR (basic to intermediate) Experience with infrastructure as code (Terraform) Familiarity with Docker and containerization Knowledge ...