Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc. • Live within ... Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The ...
Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc. • Live within ... Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The ...
Live In Kafka information
See Columbus, OH salary details
$9.75 - $15.11
3% of jobs
$15.11 - $20.47
0% of jobs
$20.47 - $25.84
0% of jobs
$25.84 - $31.20
0% of jobs
$31.20 - $36.56
0% of jobs
$36.56 - $41.92
3% of jobs
$41.92 - $47.28
4% of jobs
$50.41 is the 25th percentile. Wages below this are outliers.
$47.28 - $52.64
25% of jobs
The median wage is $54.57 / hr.
$52.64 - $58
41% of jobs
$58 - $63.37
22% of jobs
$63.37 - $68.73
2% of jobs
$9
$54
$68
How much do live in kafka jobs pay per hour?
As of May 28, 2026, the average hourly pay for live in kafka in Columbus, OH is $54.09, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $58.27 per hour, depending on experience, location, and employer.
What are popular job titles related to Live In Kafka jobs in Columbus, OH? For Live In Kafka jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Live In Kafka jobs in Columbus, OH look for? The top searched job categories for Live In Kafka jobs in Columbus, OH are:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
60th of 138 rated financial services
Job description
Job Summary:
Deloitte's Strategy & Transactions team is seeking an AI Engineering Manager to lead the design, development, and deployment of innovative AI applications across various sectors. This role involves collaborating with clients to create robust AI platforms and cloud solutions, while mentoring junior team members and ensuring the successful implementation of AI strategies.
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.)
• 6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 6+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 6+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 4+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 4+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins etc.
• 4+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 3+ 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.
Deloitte's Strategy & Transactions team is seeking an AI Engineering Manager to lead the design, development, and deployment of innovative AI applications across various sectors. This role involves collaborating with clients to create robust AI platforms and cloud solutions, while mentoring junior team members and ensuring the successful implementation of AI strategies.
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.)
• 6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 6+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 6+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 4+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 4+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins etc.
• 4+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 3+ 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.