AI Operations
Jobs via Dice · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Job highlights
- Engineer AI operations for production environments.
- Build and maintain CI/CD pipelines for AI.
- Implement monitoring for AI workflows and models.
- Promote workflows across development and production.
- Collaborate across product, engineering, and operations.
About the role
AI Operations Engineer
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Digitive LLC, is seeking an experienced AI Operations Engineer.
Job Summary
We are seeking an experienced AIOps / AI Platform Engineer who will enable reliable deployment and operation of AI workflows in production environments.
Key Responsibilities
- Build and maintain CI/CD pipelines for AI workflows.
- Implement monitoring for workflow execution, model performance, and data drift.
- Support environment configuration, release automation, and rollback strategies.
- Enable controlled promotion of workflows across development, test, and production environments.
- Provide regular updates to leadership and stakeholders through status reports and review meetings.
- Ensure alignment between business goals, project delivery, and change management.
- Foster collaboration between product, engineering, operations, and other departments.
Qualifications
- Bachelor's degree in computer science, Information technology, or related field experience.
- Fluency in AWS based platforms is a plus.
- 4+ years of proven experience in AI, preferably in the automotive sectors or manufacturing sectors.
- Strong leadership skills to guide project teams, manage stakeholders, and drive success.
- Project Management Professional (PMP) certification, CISSP or CSM is a plus.
Key skills/competency
- AI Operations
- AIOps
- AI Platform Engineering
- CI/CD Pipelines
- Production Environments
- Workflow Automation
- Model Performance Monitoring
- Data Drift
- AWS
- Automotive Industry Experience
Skills & topics
- AI Operations
- AIOps
- AI Platform Engineer
- CI/CD
- AWS
- Automotive
- Manufacturing
- Remote
- W2
- C2C
How to get hired
- Tailor your resume: Highlight AI Operations, AIOps, and CI/CD experience relevant to Digitive LLC's needs.
- Showcase automotive experience: Emphasize any background in the automotive or manufacturing sectors.
- Detail technical skills: List your experience with AI workflows, monitoring, and AWS platforms.
- Prepare for behavioral questions: Be ready to discuss leadership and collaboration skills.
- Apply via Dice: Utilize the platform for your application to reach the hiring team.
Technical preparation
Master CI/CD for AI workflows.,Practice AWS deployment and management.,Build AI model monitoring solutions.,Understand data drift detection techniques.
Behavioral questions
Describe leadership in AI projects.,How do you foster cross-department collaboration?,Share an experience of stakeholder communication.,How do you ensure project alignment with goals?
Frequently asked questions
- What is the work arrangement for the AI Operations Engineer role at Digitive LLC?
- The AI Operations Engineer role at Digitive LLC is a remote position, offering flexibility in where you work.
- What specific industry experience is required for the AI Operations Engineer position?
- Candidates for the AI Operations Engineer role must have experience in the automobile industry. Experience in manufacturing sectors is also highly regarded.
- What are the key responsibilities of an AI Operations Engineer at Digitive LLC?
- Key responsibilities include building CI/CD pipelines for AI, implementing monitoring for AI workflows and models, managing environment configurations, and fostering collaboration across departments.
- What technical skills are most important for this AI Operations Engineer job?
- Strong skills in AI Operations, AIOps, CI/CD pipelines, workflow automation, model performance monitoring, and familiarity with AWS platforms are crucial for this role.
- How does Digitive LLC ensure reliable deployment of AI workflows?
- Digitive LLC focuses on building robust CI/CD pipelines, implementing comprehensive monitoring for workflow execution and model performance, and enabling controlled promotion of workflows across environments.
- What qualifications are needed to apply for the AI Operations Engineer role?
- A Bachelor's degree in computer science or a related field, 4+ years of AI experience (preferably in automotive/manufacturing), and strong leadership skills are required. AWS platform familiarity is a plus.
- Can I apply as a C2C candidate for this AI Operations Engineer position?
- Yes, the AI Operations Engineer position at Digitive LLC accepts both W2 and C2C contract types.