Capgemini
Software Engineer Lead - Machine Learning Engineer
Capgemini, Houston, Texas, United States,
Job Description
Design, develop, and implement machine learning models, focusing on Model Deployment, MLOps processes, Model monitoring, Data and Model drift detection.Utilize Python programming language to write robust and efficient code.Use Azure environment for cloud computing needs, Databricks for big data processing and Azure Data Factory for ETL operations.Collaborate with cross-functional teams to understand business requirements and provide AI solutions.Maintain up-to-date knowledge of AI and machine learning developments and participate in professional development opportunities.Evaluate and fine-tune models based on performance and business needs.Implement and monitor data and model drift detection systems.Qualifications
Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field.Minimum of 5 years of experience in AI, machine learning, or a similar role.Proven experience with Model Deployment, MLOps processes, Model monitoring, Data and Model drift detection.Proficiency in Python and experience with Azure environment, Databricks, and Azure Data Factory.Strong understanding of machine learning algorithms and principles.Excellent problem-solving skills and ability to work independently and in teams.Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.Life at Capgemini
Capgemini Supports All Aspects Of Your Well-being Throughout The Changing Stages Of Your Life And Career. For Eligible Employees, We Offer:Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefAbout Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.Disclaimer
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.
#J-18808-Ljbffr
Design, develop, and implement machine learning models, focusing on Model Deployment, MLOps processes, Model monitoring, Data and Model drift detection.Utilize Python programming language to write robust and efficient code.Use Azure environment for cloud computing needs, Databricks for big data processing and Azure Data Factory for ETL operations.Collaborate with cross-functional teams to understand business requirements and provide AI solutions.Maintain up-to-date knowledge of AI and machine learning developments and participate in professional development opportunities.Evaluate and fine-tune models based on performance and business needs.Implement and monitor data and model drift detection systems.Qualifications
Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field.Minimum of 5 years of experience in AI, machine learning, or a similar role.Proven experience with Model Deployment, MLOps processes, Model monitoring, Data and Model drift detection.Proficiency in Python and experience with Azure environment, Databricks, and Azure Data Factory.Strong understanding of machine learning algorithms and principles.Excellent problem-solving skills and ability to work independently and in teams.Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.Life at Capgemini
Capgemini Supports All Aspects Of Your Well-being Throughout The Changing Stages Of Your Life And Career. For Eligible Employees, We Offer:Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefAbout Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.Disclaimer
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.
#J-18808-Ljbffr