1 to 25 of 41 Jupyter Jobs

promote model automation, facilitate AutoML, and create reusable template-based solutions. Adhere to Software Engineering Excellence: Write highly efficient, maintainable Python code (advanced Python skills required), utilizing tools like JupyterLab and VSCode, and enforce Git version control and best practices for testing and quality assurance. Develop User-Facing AI Applications: Build front-end tools and prototypes using Streamlit alongside standard More ❯

ideas and findings to diverse audiences, including customers, executives, and non-specialists. Has performed deep dives into data and presented the results of analysis and modelling using tools like Jupyter Notebooks. Has experience designing and developing data ingestion and transformation pipelines in languages like Python, potentially using cloud solutions in AWS, Azure, or GCP. Is familiar with the full lifecycle More ❯

ideas and findings to diverse audiences, including customers, executives, and non-specialists. Has performed deep dives into data and presented the results of analysis and modelling using tools like Jupyter Notebooks. Has experience designing and developing data ingestion and transformation pipelines in languages like Python, potentially using cloud solutions in AWS, Azure, or GCP. Is familiar with the full lifecycle More ❯

ideas and findings to diverse audiences, including customers, executives, and non-specialists. Has performed deep dives into data and presented the results of analysis and modelling using tools like Jupyter Notebooks. Has experience designing and developing data ingestion and transformation pipelines in languages like Python, potentially using cloud solutions in AWS, Azure, or GCP. Is familiar with the full lifecycle More ❯

AI models across domains such as natural language processing, computer vision, or predictive analytics Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Strong teamwork and interpersonal skills, with a collaborative and agile mindset Proven ability to work within agile More ❯

as GeoPandas, Shapely, and GDAL Knowledge of PostgreSQL/PostGIS for spatial data management Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Experience working with large datasets, including data preprocessing Excellent communication skills, both written and verbal English, with More ❯

2+ Programming experience, from either an engineering role, a computer science degree, or personal projects Python proficiency Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools A passion for connecting with real users and enabling them to be power users of the product Good organization of assigned More ❯

include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series More ❯

and visualizations for business teams Communicate findings to non-technical stakeholders What You Bring 5+ years in applied data science or analytics Strong Python or R skills (pandas, NumPy, Jupyter) and solid SQL experience Familiarity with BI tools like Tableau or Power BI Strong foundation in statistics, experimentation, and A/B testing Excellent communication and storytelling abilities Role Details More ❯

OT data, data modelling, analytics, data lakes, data governance, data management, master data management, and application/data integration Hands-on experience with tools and technologies such as pandas, Jupyter Notebooks, Databricks, (experience with other libraries is also acceptable) Experience in Python development is preferred Strong knowledge and experience in data modeling and designing data products that are reusable across More ❯

management practices. Familiarity with distributed systems and high-throughput data processing (e.g. Ray, Dask, Spark). Experience with feature engineering, model lifecycle management, and data-driven research environments (e.g. JupyterHub). Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're More ❯

management practices. Familiarity with distributed systems and high-throughput data processing (e.g. Ray, Dask, Spark). Experience with feature engineering, model lifecycle management, and data-driven research environments (e.g. JupyterHub). Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're More ❯

Position requires Masters/equivalent in Business Analytics & Information Systems, CIS, or related field; and 1 year of experience including SQL, Python, SAS, R, AWS Redshift, AWS S3, Jupyter Notebook, MicroStrategy, NumPy, Pandas, Airflow, S3, Tableau, and ServiceNow. $127,234. Medical, Dental, Vision. Position requires travel/relocation to various unanticipated US locations. Send resume to: Digtinctive Inc., 525 Washington More ❯

production. Requirements: Experience in a client-facing technical role (Solutions Engineer, AI Consultant, or similar) Strong Python skills and experience with LLMs/LangChain Confident building quick prototypes (Streamlit, Jupyter, etc.) Able to bridge business needs and technical delivery Startup mindset: fast-moving, collaborative, hands-on Bonus: experience in finance, legal, or insurance; Azure exposure; ISO 27001 familiarity This is More ❯

that require multiple areas of expertise - Team member will be expected to provide subject matter expertise in managing Hadoop and Data Science Platform operations with focus around Cloudera Hadoop, Jupyter Notebook, OpenShift, Docker-Container Cluster Management and Administration - Integrates solutions with other applications and platforms outside the framework - He/She will be responsible for managing platform operations across all More ❯

Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return More ❯

Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return More ❯

for specific business/data service needs; provide technical consultation during sales calls for Redis Vector Similarity; perform data analysis/research on internal/external datasets using notebooks (Jupyter); participate in peer code reviews (GitHub) to ensure team standards; reduce bugs/quality issues; write/maintain automated software tests (PyTest) to ensure accurate, high quality code; research/… implement fixes to client reported issues in Redis AI libraries; communicate status (GitHub, JIRA, and Zendesk); create/maintain self-contained examples to demonstrate use of Redis AI libraries (Jupyter, Docker); communicate status/proactively address issues; attend daily progress/cross department meetings; create/review Redis promotional materials for public; create documentation for AI software projects using internal More ❯

the BI reporting team by creating and maintaining data solutions for KPI reporting. Developing scalable, performance-optimised ELT/ETL pipelines using T-SQL, Python, ADO, C#, PySpark and Jupyter Notebooks. Working with the Gazetteer and GIS teams to maintain stable, consolidated database platforms for mapping and GIS systems. Contributing to the development and maintenance of a Data Warehouse and More ❯

team. Skills: • 13 years of experience. • HDFS, Hive, S3, ADLS, Spark, Confluent Kafka, Spark Streaming, Databricks, Git, CICD, Big query, Python, SQL, Unix shell scripting, RDBMS, ETL, (ETL), Spyder, Jupyter Notebook, Salesforce. TRIGYN IS AN EQUAL OPPORTUNITY EMPLOYER About Trigyn: Trigyn is an IT Services Company that has been in business for 30 years with more than 1,500 resources More ❯

as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt based … train AI systems. You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the More ❯

as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt based … train AI systems. You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the More ❯

as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt based … train AI systems. You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the More ❯

as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt based … train AI systems. You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the More ❯

as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt based … train AI systems. You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the More ❯