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Internship Deloitte Computer Science Jobs in Burbank, CA

Deloitte

Senior AI Engineer - SFL Scientific

Los Angeles, CA · On-site

$112K - $154K/yr

Deloitte is a leading professional services firm, and they are seeking a Senior AI Engineer to join ... Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or ...

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Internship Deloitte Computer Science information

What is an internship at Deloitte for computer science students?

An Internship at Deloitte for Computer Science students is a temporary position that offers hands-on experience in technology, consulting, or related fields within the company. Interns work alongside experienced professionals, contributing to real projects, learning industry best practices, and developing technical and soft skills. The program is designed to provide insight into Deloitte's work culture and can often lead to full-time job opportunities upon graduation. Interns may be involved in tasks such as software development, data analysis, or IT consulting, depending on the specific team and project needs.

What types of projects do computer science interns typically work on at Deloitte, and how do these projects support professional development?

As a computer science intern at Deloitte, you can expect to work on real-world projects that often involve data analysis, software development, automation, or cybersecurity initiatives. These projects are designed to address client needs or improve internal processes, allowing interns to apply their technical skills in a business context. You'll typically collaborate with multidisciplinary teams, including consultants and senior engineers, which fosters both technical and soft skill growth. This hands-on experience not only builds your resume but also exposes you to Deloitte's methodologies and work culture, supporting your long-term professional development.

What are the key skills and qualifications needed to thrive as an intern in computer science at Deloitte, and why are they important?

To thrive as a Computer Science intern at Deloitte, you need a solid understanding of programming fundamentals, data structures, and algorithms, typically demonstrated through ongoing studies in a relevant degree program. Familiarity with programming languages like Python or Java, experience with databases, and knowledge of version control systems such as Git are commonly required. Strong analytical thinking, effective communication, and a willingness to learn make interns stand out in collaborative and fast-paced environments. These skills and qualities are vital for successfully contributing to client projects, adapting to new technologies, and working efficiently within Deloitte's multidisciplinary teams.

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The top searched job categories for Internship Deloitte Computer Science jobs in Burbank, CA are:

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Infographic showing various Internship Deloitte Computer Science job openings in Burbank, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.

Senior AI Engineer - SFL Scientific

Deloitte

Los Angeles, CA • On-site

$112K - $154K/yr

Full-time

Re-posted 25 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm, and they are seeking a Senior AI Engineer to join their Strategy & Transactions team. In this role, you will work cross-functionally to develop robust AI infrastructure and deployment services for machine learning applications, while leveraging advanced technical skills in data architecture and engineering.
Responsibilities:
• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 2+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
• 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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