Gen AI Architect

Capgemini•Atlanta, GA

About The Position

The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems. Plays a critical role in leading and supporting machine learning initiatives. Combined with technical expertise and management skills to drive successful project execution, deploying and mointoring the models, foster collaboration, and align machine learning strategies with broader business goals.

Requirements

14+ yrs 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 Haves

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 back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief