Work closely with client technical heads, business heads, and business analysts to understand and document business and technical requirements and constraints.
Work with a team of engineers to enhance ML pipelines to improve machine learning deployments.
Assist in tuning models for optimal performance.
Build ML applications and solutions using Azure cloud technologies.
Analyze and interpret complex digital data using machine learning and statistics-based models in order to assist business with decision-making.
Help identify new opportunities for machine learning models for improved customer experience.
Data Scientist/ML Engineer with Expertise in Supervised machine learning model building using Python/R/SAS and integrating them into Batch Inference pipelines.
Experience in using Python and Pyspark for predictive supervised model building.
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.
Experience using ML Flow or similar tool to deploy operational models in Azure Cloud.
Experience mentoring and developing best practices for model management, health monitoring and model tuning.
Ability to present model explain ability and model results to business stakeholders.
Azure Certifications and Databricks certifications.
Knowledge of SAS language .
Strong ability to independently complete big data application architect design, framework design and optimization.
Strong verbal and written communication skills.
Demonstrated ability to work in a demanding team-oriented environment.
Highly effective communication and collaboration skills working in a distributed team environment.
Technical leadership and strong independent problem-solving skills.
Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment.
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
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, Bachelor’s 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.
Click the following link for more information on your rights as an Applicant – http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year+ heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries. With Altran, the Group reported 2019 combined revenues of €17billion.
Visit us at www.capgemini.com. People matter, results count.