Job Location
Whippany, NJ / Atlanta, GA (Day One Onsite - Hybrid)
Qualifications
14+ years of experience
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Extensive experience in designing and implementing AI/ML platforms and architectures.
Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud.
Strong understanding of AI/ML model development, deployment, and lifecycle management.
Experience with data management, including data pipelines, storage solutions, and processing frameworks.
Strong communication and collaboration skills, with the ability to work effectively with cross‑functional teams.
Nice to Have
Experience with generative AI models and frameworks such as GPT, GANs, or other deep learning models.
Knowledge of big data technologies and tools such as Hadoop, Spark, or Kafka.
Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
Experience with AI/ML tools and libraries such as TensorFlow, PyTorch, or scikit‑learn.
Strong understanding of DevOps practices and CI/CD pipelines.
Benefits
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 backup child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Equal Opportunity Employer 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.
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Qualifications
14+ years of experience
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Extensive experience in designing and implementing AI/ML platforms and architectures.
Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud.
Strong understanding of AI/ML model development, deployment, and lifecycle management.
Experience with data management, including data pipelines, storage solutions, and processing frameworks.
Strong communication and collaboration skills, with the ability to work effectively with cross‑functional teams.
Nice to Have
Experience with generative AI models and frameworks such as GPT, GANs, or other deep learning models.
Knowledge of big data technologies and tools such as Hadoop, Spark, or Kafka.
Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
Experience with AI/ML tools and libraries such as TensorFlow, PyTorch, or scikit‑learn.
Strong understanding of DevOps practices and CI/CD pipelines.
Benefits
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 backup child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Equal Opportunity Employer 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.
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