Collabera
AI DevOps Engineer
Collabera, Santa Clara, California, us, 95053
Description
Home Search Jobs Job Description
AI DevOps Engineer
Contract: Santa Clara, California, US
Salary: $44.00 Per Hour
Job Code: 356770
End Date: 2025-01-10 Days Left: 26 days, 2 hours left
Apply
Job Title: AI Devops Engineer
Location:
Santa Clara, CA 95054 (Hybrid Role)
Duration: 12 + Months Contract Role + Extension
Pay Range: $40/hr to $45/hr
Job Description:
Position Overview:
We are seeking an innovative and highly motivated AI DevOps Engineer to join our dynamic team. In this role, you will bridge between development and operations in AI-focused projects, ensuring the seamless deployment, scalability, and reliability of AI and machine learning (ML) applications. You will design and manage the infrastructure, tools, and pipelines that enable data scientists and AI engineers to efficiently develop, train, and deploy models.
In addition, you will leverage external and internal AI tools to automate from prompts to execution.
Key Responsibilities:
Infrastructure Automation and Management: Design, implement, and manage cloud-based or on-premise infrastructure for AI/M.L workflows. Automate infrastructure provisioning, configuration, and scaling using tools like Terraform, kubernete, or equivalent. Optimize compute resources, ensuring cost-effective and efficient use for training and inference. Familiarize with the fundamentals of artificial intelligence:
Develop and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines tailored for AI/M.L workflows. Automate the testing, validation, and deployment of AI models into production. Integrate with monitoring tools to ensure pipeline reliability and performance. Model Deployment and Monitoring:
Deploy machine learning models to production environments using containerization (e.g., Docker) and orchestration platforms (e.g., Kubernetes). Implement model monitoring for drift detection, performance, and real-time insights. Collaborate with data scientists to establish A/B testing and versioning strategies. Collaboration with Cross-functional Teams:
Work closely with data scientists, M.L engineers, and software developers to streamline workflows. Build tools and frameworks that accelerate experimentation and productionalization of AI systems. Security and Compliance:
Ensure data and model security by implementing robust access controls, encryption, and compliance with industry regulations. Manage secure handling of sensitive data used in AI/M.L training and testing. Performance Optimization and Troubleshooting:
Identify bottlenecks in AI/M.L workflows and optimize system performance. Diagnose and resolve issues in the deployment pipeline or production environment. Education:
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. New graduate is welcome Experience:
Familiar with the fundamentals of artificial intelligence and machine learning. Ideally have (but not required) Hands-on experience with open-source AI models Proven fast learning capability. Technical Skills:
Proficiency in scripting and automation languages or AI tools (Python, Bash, Jupiter Notebook, Golang, etc.). Familiarity with one of following: AI models (hugging face, Claude, etc.), M.L frameworks (TensorFlow, PyTorch, etc.), deployment tools (e.g., M.Lflow, Seldon, or TFX) Solid understanding of computer algorithms, AI training, inference, and AI powered use cases Good to have infrastructure as code (IaC) tools like Terraform or Ansible. Soft Skills:
Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Adaptability to a fast-paced, evolving environment. Location: Must be Santa Clara, CA-based. Required Skills:
ARTIFICIAL INTELLIGENCE MACHINE LEARNING PRODUCTION ENVIRONMENT Additional Skills:
PERFORMANCE OPTIMIZATION SHELL SCRIPTING PROBLEM-SOLVING ENCRYPTION USE CASES PROVISIONING SCRIPTING DATA SCIENCE REAL-TIME CONTINUOUS INTEGRATION/DELIVERY PYTORCH DOCKER TERRAFORM CONTAINERIZATION DEV OPS OPERATIONS PYTHON KUBERNETES Minimum Degree Required: Bachelor's Degree Certifications & Licenses: Proficiency in scripting and automation languages or AI tools (Python, Bash, Jupiter Notebook Job Requirement
AI Python Hugging Face Open AI Claude Pytorch Bash Jupiter Notebook Golang Tensorflow Reach Out to a Recruiter Recruiter Email Phone Parth Shah parth.rshah@collabera.com
Apply Now
Home Search Jobs Job Description
AI DevOps Engineer
Contract: Santa Clara, California, US
Salary: $44.00 Per Hour
Job Code: 356770
End Date: 2025-01-10 Days Left: 26 days, 2 hours left
Apply
Job Title: AI Devops Engineer
Location:
Santa Clara, CA 95054 (Hybrid Role)
Duration: 12 + Months Contract Role + Extension
Pay Range: $40/hr to $45/hr
Job Description:
Position Overview:
We are seeking an innovative and highly motivated AI DevOps Engineer to join our dynamic team. In this role, you will bridge between development and operations in AI-focused projects, ensuring the seamless deployment, scalability, and reliability of AI and machine learning (ML) applications. You will design and manage the infrastructure, tools, and pipelines that enable data scientists and AI engineers to efficiently develop, train, and deploy models.
In addition, you will leverage external and internal AI tools to automate from prompts to execution.
Key Responsibilities:
Infrastructure Automation and Management: Design, implement, and manage cloud-based or on-premise infrastructure for AI/M.L workflows. Automate infrastructure provisioning, configuration, and scaling using tools like Terraform, kubernete, or equivalent. Optimize compute resources, ensuring cost-effective and efficient use for training and inference. Familiarize with the fundamentals of artificial intelligence:
Develop and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines tailored for AI/M.L workflows. Automate the testing, validation, and deployment of AI models into production. Integrate with monitoring tools to ensure pipeline reliability and performance. Model Deployment and Monitoring:
Deploy machine learning models to production environments using containerization (e.g., Docker) and orchestration platforms (e.g., Kubernetes). Implement model monitoring for drift detection, performance, and real-time insights. Collaborate with data scientists to establish A/B testing and versioning strategies. Collaboration with Cross-functional Teams:
Work closely with data scientists, M.L engineers, and software developers to streamline workflows. Build tools and frameworks that accelerate experimentation and productionalization of AI systems. Security and Compliance:
Ensure data and model security by implementing robust access controls, encryption, and compliance with industry regulations. Manage secure handling of sensitive data used in AI/M.L training and testing. Performance Optimization and Troubleshooting:
Identify bottlenecks in AI/M.L workflows and optimize system performance. Diagnose and resolve issues in the deployment pipeline or production environment. Education:
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. New graduate is welcome Experience:
Familiar with the fundamentals of artificial intelligence and machine learning. Ideally have (but not required) Hands-on experience with open-source AI models Proven fast learning capability. Technical Skills:
Proficiency in scripting and automation languages or AI tools (Python, Bash, Jupiter Notebook, Golang, etc.). Familiarity with one of following: AI models (hugging face, Claude, etc.), M.L frameworks (TensorFlow, PyTorch, etc.), deployment tools (e.g., M.Lflow, Seldon, or TFX) Solid understanding of computer algorithms, AI training, inference, and AI powered use cases Good to have infrastructure as code (IaC) tools like Terraform or Ansible. Soft Skills:
Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Adaptability to a fast-paced, evolving environment. Location: Must be Santa Clara, CA-based. Required Skills:
ARTIFICIAL INTELLIGENCE MACHINE LEARNING PRODUCTION ENVIRONMENT Additional Skills:
PERFORMANCE OPTIMIZATION SHELL SCRIPTING PROBLEM-SOLVING ENCRYPTION USE CASES PROVISIONING SCRIPTING DATA SCIENCE REAL-TIME CONTINUOUS INTEGRATION/DELIVERY PYTORCH DOCKER TERRAFORM CONTAINERIZATION DEV OPS OPERATIONS PYTHON KUBERNETES Minimum Degree Required: Bachelor's Degree Certifications & Licenses: Proficiency in scripting and automation languages or AI tools (Python, Bash, Jupiter Notebook Job Requirement
AI Python Hugging Face Open AI Claude Pytorch Bash Jupiter Notebook Golang Tensorflow Reach Out to a Recruiter Recruiter Email Phone Parth Shah parth.rshah@collabera.com
Apply Now