Data Scientist, Senior

Responsibilities

• Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments such as AWS and Microsoft Azure
• Develop and optimize engineering workflows to support AI model development, deployment, and maintenance
• Architect and manage CI/CD pipelines for the continuous integration and delivery of AI models and applications
• Implement and manage containerization solutions using technologies like Docker and Kubernetes
• Ensure efficient AI model lifecycle management, including versioning, monitoring, and scaling
• Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization
• Oversee system performance, security, and scalability of AI infrastructure

Requirements

• Active TS/SCI with polygraph
• Bachelor's degree in a relevant technical field with 10 years of experience, or a Master's degree with 8 years of experience (4 additional years of experience may be considered in lieu of a degree)
• Proficiency in DevOps principles and practices
• Demonstrated expertise in containerization

Preferred Qualifications

• Experience with infrastructure as code (IaC) tools such as Terraform or Ansible
• Understanding of machine learning concepts and their implications for infrastructure
• Extensive experience with AI model lifecycle management and maintenance
• Familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, or the ELK stack

Benefits

• Medical, dental, and vision insurance
• Paid time off and holidays
• 401(k) retirement plan
• Life insurance
• Flexible work schedules

About the Company

Parsons Corporation is a digitally enabled solutions provider focused on creating the future of the defense, intelligence, and critical infrastructure markets. From Earth to outer space, we deliver tomorrow’s solutions today through an agile, innovative, and disruptive approach.