050293-Data Scientist Senior Consultant with GCP Experience

The AI & Analytics practice group at Capgemini is expanding its footprint… rapidly.  As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries, including Media & Entertainment, High Tech, Automotive, Consumer Products & Retail,   Industrial Products, Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities.

The AI & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the AI & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems. If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the AI & Analytics practice group at Capgemini is the best place to grow your career.

Role & Responsibilities:

 Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data

  • Automate ML models deployments on Google Cloud Platform (GCP)
  • Oversee all aspects of Google Cloud infrastructure
  • Setup cloud alerts, monitors, dashboards, logging, etc.
  • Setup CI / CD pipelines of multiple applications

Qualifications  

  •  2+ years of industry experience with a strong interest in consulting
  • Experience with Google Cloud Platform including with Docker containers and Kubernetes
  • Thorough skills in creating Python REST APIs with containerized applications.
  • Machine Learning and Deep Learning (Regression, Classification, Deep Neural Nets – Feed forward, LSTM, RNN and CNNs etc.)
  • Machine Learning concepts – Evaluating Models (Confusion Matrix, ROC Curve analysis, Precision, Recall metrics), Overfitting, Regularization, Cross Validation, Ensemble techniques etc.
  • Experience building auto-scaling ML systems
  • Experience with database systems including BigQuery and Snowflake
  • Demonstrated ability to collaborate with team to provide data-driven recommendations and solutions to clients by clearly articulating complex technical concepts through generation and delivery of presentations

 

Qualifications  

  •  2+ years of industry experience with a strong interest in consulting
  • Experience with Google Cloud Platform including with Docker containers and Kubernetes
  • Thorough skills in creating Python REST APIs with containerized applications.
  • Machine Learning and Deep Learning (Regression, Classification, Deep Neural Nets – Feed forward, LSTM, RNN and CNNs etc.)
  • Machine Learning concepts – Evaluating Models (Confusion Matrix, ROC Curve analysis, Precision, Recall metrics), Overfitting, Regularization, Cross Validation, Ensemble techniques etc.
  • Experience building auto-scaling ML systems
  • Experience with database systems including BigQuery and Snowflake
  • Demonstrated ability to collaborate with team to provide data-driven recommendations and solutions to clients by clearly articulating complex technical concepts through generation and delivery of presentations

Ref:

050293

Posted on:

October 15, 2020

Experience level:

Experienced (Non Manager)

Education level:

Bachelor's Degree (±16 years)

Contract type:

Regular

Location:

Toronto

Department:

CA013231

cookies.

By continuing to navigate on this website, you accept the use of cookies.

For more information and to change the setting of cookies on your computer, please read our Privacy Policy.

Close

Close cookie information