Senior Software Engineer - Senior Azure Engineer/Data Analyst
Senior Software Engineer - Senior Azure Engineer/Data Analyst
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Job Description
Software Engineers perform requirements analysis. They then design develop or maintain the physical application (components) or the application environment based on the Software Architecture (models and principles). Activities include coding integrating implementing installing or changing frameworks and standard components or technical and functional application management. A Software Engineer also develops languages methods frameworks and tools and/or undertakes activities in support of server-based databases in development test and production environments.
Required Skills and Experience:
You have mastered several Software Engineering areas applications or database environments. You act as a Software Engineering stream leader with technical delivery ownership within a (limited) number of technology areas. You contribute to bids or client proposals based on your technological expertise. You also act as a team leader with delivery ownership and guide individuals and groups towards desired outcomes. You actively participate in at least one community and contribute to community discussions.
Qualification: 7-10 years (3 years min relevant experience in the role)experience Bachelors Degree.
Certification: Should have SE Level 1 and seeking level 2.
Should be proficient in Business Analysis Business Knowledge Software Engineering Testing Data Management Architecture Knowledge and Technical Solution Design.
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race national origin gender identity/expression age religion disability sexual orientation genetics veteran status marital status or any other characteristic protected by law.
This is a general description of the Duties Responsibilities and Qualifications required for this position. Physical mental sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed provided that such accommodations do not pose an undue hardship.
Must have:
using ML Flow or similar tool to deploy operational models in Azure Cloud.
mentoring and developing best practices for model management health monitoring and model tuning.
in using Python and Pyspark for predictive supervised model building.
Good to have:
Experience in creating/implementing machine learning models using Python/R/SAS and integrating them into Batch Inference pipelines.
Expertise in working with machine learning related python packages - Scikit learn XGBoost matplot lib and proficient is data pre-processing using pandas.
Expertise on a variety of machine learning techniques (clustering segmentation etc.) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression properties of distributions statistical tests and proper usage etc.) and experience with applications.
Ability to present model explain ability and model results to business stakeholders.
Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development Support and Deployment.
Required Experience:
Senior IC
Employment Type
Full-Time
