You should have expertise in AI and ML technologies, strong programming skills, experience with data analysis, and knowledge of relevant frameworks and tools. Proven problem-solving skills are essential.

You will design, develop, and implement AI/ML models, analyze data, optimize algorithms, and collaborate with cross-functional teams to deliver innovative solutions for clients.

United States

Philadelphia

Mental Health Care

Occupational Accident Insurance

Retiree Health & Medical

Supplemental Life Insurance

Health Savings Account (HSA)

Large

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 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.

Technology

Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Responsibilities


 * Study call logs to identify patterns and insights.
 * Perform intent mining to get customer queries and improve response accuracy.
 * Establish and optimize call trees to enhance call routing efficiency.
 * Develop and implement NLP models to extend the capabilities of the contact center.
 * Measure and improve deflection rates to reduce call volumes.
 * Collaborate with data scientists and analysts to deploy machine learning models.
 * Utilize AWS SageMaker for model training deployment and management.
 * Integrate AI/ML solutions with existing systems to optimize contact center performance.
 * Preprocess data to improve model accuracy and efficiency.
 * Work closely with cross-functional teams to get project requirements and deliver innovative solutions.
   
   

Skills


 * Experience in AI/ML engineering with a focus on NLP.
 * Proficiency in Python programming.
 * Hands-on experience with AWS SageMaker.
 * Strong understanding of machine learning algorithms and frameworks.
 * Knowledge of data preprocessing and feature engineering technique
   
   

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 work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

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.

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.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

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 business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

AI/ML Engineer - Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Responsibilities&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt; Study call logs to identify patterns and insights.&lt;/li&gt;&lt;li&gt; Perform intent mining to get customer queries and improve response accuracy.&lt;/li&gt;&lt;li&gt; Establish and optimize call trees to enhance call routing efficiency.&lt;/li&gt;&lt;li&gt; Develop and implement NLP models to extend the capabilities of the contact center.&lt;/li&gt;&lt;li&gt; Measure and improve deflection rates to reduce call volumes.&lt;/li&gt;&lt;li&gt; Collaborate with data scientists and analysts to deploy machine learning models.&lt;/li&gt;&lt;li&gt; Utilize AWS SageMaker for model training deployment and management.&lt;/li&gt;&lt;li&gt; Integrate AI/ML solutions with existing systems to optimize contact center performance.&lt;/li&gt;&lt;li&gt; Preprocess data to improve model accuracy and efficiency.&lt;/li&gt;&lt;li&gt; Work closely with cross-functional teams to get project requirements and deliver innovative solutions.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Skills&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt; Experience in AI/ML engineering with a focus on NLP.&lt;/li&gt;&lt;li&gt; Proficiency in Python programming.&lt;/li&gt;&lt;li&gt; Hands-on experience with AWS SageMaker.&lt;/li&gt;&lt;li&gt; Strong understanding of machine learning algorithms and frameworks.&lt;/li&gt;&lt;li&gt; Knowledge of data preprocessing and feature engineering technique&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;Life at Capgemini&lt;br&gt;&lt;br&gt;Capgemini Supports All Aspects Of Your Well-being Throughout The Changing Stages Of Your Life And Career. For Eligible Employees, We Offer&lt;br&gt;&lt;br&gt;Flexible work&lt;br&gt;&lt;br&gt;Healthcare including dental, vision, mental health, and well-being programs&lt;br&gt;&lt;br&gt;Financial well-being programs such as 401(k) and Employee Share Ownership Plan&lt;br&gt;&lt;br&gt;Paid time off and paid holidays&lt;br&gt;&lt;br&gt;Paid parental leave&lt;br&gt;&lt;br&gt;Family building benefits like adoption assistance, surrogacy, and cryopreservation&lt;br&gt;&lt;br&gt;Social well-being benefits like subsidized back-up child/elder care and tutoring&lt;br&gt;&lt;br&gt;Mentoring, coaching and learning programs&lt;br&gt;&lt;br&gt;Employee Resource Groups&lt;br&gt;&lt;br&gt;Disaster Relief&lt;br&gt;&lt;br&gt;&lt;strong&gt;Disclaimer&lt;br&gt;&lt;br&gt;&lt;/strong&gt;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.&lt;br&gt;&lt;br&gt;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.&lt;br&gt;&lt;br&gt;Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.&lt;br&gt;&lt;br&gt;Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law&lt;br&gt;&lt;br&gt;Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

AI/ML Engineer

FAQs

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