ZS
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Seeking an experienced HR professional to join ZS as a Staffer to build teams, assign staffing, and manage reporting for project engagements efficiently.
Seeking an experienced HR professional to join as a Staffer. Responsibilities include team building, staffing assignments, system management, capacity monitoring, and reporting.
Seeking an experienced HR professional to join as a Staffer at ZS, responsible for building teams for project engagements, managing system reporting, and ensuring accurate capacity and skills assessment of consulting staff.
Seeking an experienced HR professional to join ZS as a Staffer. Responsible for building teams to deliver project engagements efficiently, managing system reports, and ensuring accurate capacity and skills management of consulting staff.
Seeking an experienced HR professional to join ZS as a Staffer to build teams and support senior staffers in efficient project delivery. Responsibilities include assessing team options, understanding project pipelines, communicating with leaders, and monitoring staffing levels and constraints.
Develop advanced algorithms for large data sets, evaluate emerging datasets and technologies, contribute to thought leadership, possess strong analytical and quantitative skills, and have expertise in machine learning algorithms and big data concepts.
Seeking an HR professional to join ZS as a Staffer for building and managing project teams, ensuring efficient staffing assignments and system management, and supporting senior staffers in capacity and skills reporting. Responsibilities include assessing team options, understanding project pipeline, monitoring staffing levels, conducting training, and collaborating with HR team.
Develop advanced AI algorithms, data mining techniques, and machine learning models to solve complex problems efficiently. Evaluate emerging datasets and technologies. Contribute to thought leadership by researching and publishing on evolving topics. Requires a Bachelor's or Master's degree in STEM, expertise in Python and Pyspark, and experience in engineering features from various data sources.
Develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, contribute to thought leadership, possess a STEM degree, expertise in Python and Pyspark, experience in feature engineering and ML platforms, knowledge of big data concepts and machine learning algorithms, strong communication and problem-solving skills.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets and technologies, contribute to thought leadership, possess a Bachelor's or master's degree in STEM, strong knowledge of Python and Pyspark, experience in engineering features from data sources, expertise in machine learning platforms and algorithms, excellent communication and critical thinking skills.
Develop advanced algorithms, execute statistical techniques, evaluate emerging datasets, and contribute to thought leadership. Requires strong academic background in STEM, expertise in Python, knowledge of ML platforms, and experience with big data analytics.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets, contribute to thought leadership, and possess excellent communication and problem-solving skills.
Develop advanced algorithms, execute statistical techniques, evaluate emerging datasets and technologies, contribute to thought leadership, strong communication and problem-solving skills.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, contribute to thought leadership, and have expertise in programming, data engineering, and machine learning. You will also need strong communication, critical thinking, and problem-solving skills.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets and technologies, contribute to thought leadership, and possess strong communication and problem-solving skills.
Build and orchestrate model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, collaborate with client teams, and stay updated on latest technologies in the AI field.
Develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, contribute to thought leadership, possess academic STEM degree, strong programming skills in Python and Pyspark, familiarity with ML platforms and machine learning algorithms, excellent communication and problem-solving skills.
As a Machine Learning Engineer at ZS, you will build, orchestrate, and monitor model pipelines, scale machine learning algorithms, enhance ML engineering platforms, implement ML Ops, write production-ready code, collaborate with client teams, and stay updated on the latest technologies.
The Machine Learning Engineer at ZS will be responsible for building and monitoring model pipelines, scaling machine learning algorithms, enhancing ML engineering platforms, implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies. Requires a Bachelor's/Master's degree in Computer Science or related field, 2-4 years of experience in deploying ML models, expertise in Python/PySpark, and experience in ML platforms like Dataiku and Sagemaker.
The Machine Learning Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, implementing ML Ops, writing production-ready code, and collaborating with client teams and global development team to deliver projects. They will also participate in researching and evaluating latest technologies to create prototype solutions.
