Cryptographtechusa
Job Description:
Understand the business requirements and convert them into a well defined problem statement.
Building, installing, configuring, manage, and scaling state of art machine learning platform on Azure cloud and on-premises powering Data & Analytics products and solutions.
Collaborating with architects, DevOps engineers, and vendors to implement scalable ML/DL solutions in the cloud and on-premises to solve complex problems.
Creating & maintaining ML/DL pipelines and overall ML/DL workflow orchestration including but not limited to data collection, prep, transform, analyse, experiment, train, validate, serve, monitor, etc.
Implementing ML/DL solutions addressing performance, scalability, and the governance/ traceability of machine learning models.
Iterate quickly through the latest technologies, products, frameworks, and R&D on the latest information related to ML/DL frameworks, tools & services.
Identify the data sets required to develop the predictive models for internal and external business problem.
Utilize the tools & technologies like Python, AWS, SQL, Linux, PowerBI & etc. to achieve the insights and solutions.
Perform different statistical tests like Mann-Kendall, Kruskal-Wallis and Hurst-Exponent to identify the trends and seasonality in time series data.
Load, summarize and visualize the data.
Data visualization using Power BI & Tableau.
Build K-Means, Db-Scan, Agglomerative & Hierarchical Clustering models.
Create technical specifications.
Bug fixing and documenting the findings.
Mail Resumes to:
Cryptograph Tech USA, 18 Campus Blvd, Suite#100, Newtown Square, PA.19073; Email: hr@cryptographtechusa.com
Travel:
Must be willing to travel & relocate to unanticipated client locations throughout the US.
Work Location:
Cryptograph Tech USA, 18 Campus Blvd, Suite#100, Newtown Square, PA.19073
#J-18808-Ljbffr
Understand the business requirements and convert them into a well defined problem statement.
Building, installing, configuring, manage, and scaling state of art machine learning platform on Azure cloud and on-premises powering Data & Analytics products and solutions.
Collaborating with architects, DevOps engineers, and vendors to implement scalable ML/DL solutions in the cloud and on-premises to solve complex problems.
Creating & maintaining ML/DL pipelines and overall ML/DL workflow orchestration including but not limited to data collection, prep, transform, analyse, experiment, train, validate, serve, monitor, etc.
Implementing ML/DL solutions addressing performance, scalability, and the governance/ traceability of machine learning models.
Iterate quickly through the latest technologies, products, frameworks, and R&D on the latest information related to ML/DL frameworks, tools & services.
Identify the data sets required to develop the predictive models for internal and external business problem.
Utilize the tools & technologies like Python, AWS, SQL, Linux, PowerBI & etc. to achieve the insights and solutions.
Perform different statistical tests like Mann-Kendall, Kruskal-Wallis and Hurst-Exponent to identify the trends and seasonality in time series data.
Load, summarize and visualize the data.
Data visualization using Power BI & Tableau.
Build K-Means, Db-Scan, Agglomerative & Hierarchical Clustering models.
Create technical specifications.
Bug fixing and documenting the findings.
Mail Resumes to:
Cryptograph Tech USA, 18 Campus Blvd, Suite#100, Newtown Square, PA.19073; Email: hr@cryptographtechusa.com
Travel:
Must be willing to travel & relocate to unanticipated client locations throughout the US.
Work Location:
Cryptograph Tech USA, 18 Campus Blvd, Suite#100, Newtown Square, PA.19073
#J-18808-Ljbffr