AI Engineer - SFL Scientific
Columbus, OH · On-site
They are seeking an AI Engineer to work alongside data scientists and machine learning engineers to develop AI infrastructure and deployment services, focusing on modern data architecture and ...
AI Engineer - SFL Scientific
Columbus, OH · On-site
They are seeking an AI Engineer to work alongside data scientists and machine learning engineers to develop AI infrastructure and deployment services, focusing on modern data architecture and ...
Experience with Azure data, analytics, or artificial intelligence and machine learning services The ... Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA)
Experience with Azure data, analytics, or artificial intelligence and machine learning services The ... Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA)
Cloud Security Consultant - Azure Infrastructure & AI
Columbus, OH · On-site
$63.25 - $84/hr
Experience with Azure data, analytics, or artificial intelligence and machine learning services The ... Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA)
Cloud Security Consultant - Azure Infrastructure & AI
Columbus, OH · On-site
$63.25 - $84/hr
Experience with Azure data, analytics, or artificial intelligence and machine learning services The ... Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA)
Cloud Security Manager - Azure Infrastructure & AI
Columbus, OH · On-site
$63.25 - $84/hr
Experience with Azure data, analytics, or artificial intelligence and machine learning services The ... Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA)
Cloud Security Manager - Azure Infrastructure & AI
Columbus, OH · On-site
$63.25 - $84/hr
Experience with Azure data, analytics, or artificial intelligence and machine learning services The ... Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA)
Cisco Machine Learning information
See salary details
$90.87 - $91.72
4% of jobs
$91.72 - $92.57
15% of jobs
$93 is the 25th percentile. Wages below this are outliers.
$92.57 - $93.42
12% of jobs
$93.42 - $94.27
16% of jobs
The median wage is $94.51 / hr.
$94.27 - $95.13
12% of jobs
$95.13 - $95.98
16% of jobs
$96.03 is the 75th percentile. Wages above this are outliers.
$95.98 - $96.83
9% of jobs
$96.83 - $97.68
5% of jobs
$97.68 - $98.54
3% of jobs
$98.54 - $99.39
5% of jobs
$99.39 - $100.24
3% of jobs
$90
$94
$100
How much do cisco machine learning jobs pay per hour?
As of Jun 26, 2026, the average hourly pay for cisco machine learning in the United States is $94.95, according to ZipRecruiter salary data. Most workers in this role earn between $92.79 and $96.15 per hour, depending on experience, location, and employer.
What are popular job titles related to Cisco Machine Learning jobs? For Cisco Machine Learning jobs, the most frequently searched job titles are:
What job categories do people searching Cisco Machine Learning jobs look for? The top searched job categories for Cisco Machine Learning jobs are:
What states have the most Cisco Machine Learning jobs? States with the most job openings for Cisco Machine Learning jobs include:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
57th of 139 rated financial services
Job description
Job Summary:
Deloitte is a leading professional services firm that helps clients navigate critical moments and transformational initiatives. They are seeking an AI Engineer to work alongside data scientists and machine learning engineers to develop AI infrastructure and deployment services, focusing on modern data architecture and solutions for various industries.
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
• Participate in the design and 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
• Participate in technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display thought leadership and execution in pursuit of modern data architecture principles and technology modernization
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 2+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 2+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 2+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 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)
• 1+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
• Experience in a client facing role
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.
Deloitte is a leading professional services firm that helps clients navigate critical moments and transformational initiatives. They are seeking an AI Engineer to work alongside data scientists and machine learning engineers to develop AI infrastructure and deployment services, focusing on modern data architecture and solutions for various industries.
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
• Participate in the design and 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
• Participate in technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display thought leadership and execution in pursuit of modern data architecture principles and technology modernization
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 2+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 2+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 2+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 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)
• 1+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
• Experience in a client facing role
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.