drjobs AI/ML Platform Support Engineer

AI/ML Platform Support Engineer

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Charlotte - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Role: AI/ML Platform Support Engineer

Location: Charlotte NC (Onsite)

Type: Contract

  • We are seeking a talented AI/ML Platform Support Engineer to join our dynamic this role you will be responsible for supporting the platforms used to develop AI/ML infrastructure and solutions.

Core Technical Skills

  • Vector Databases: Hands-on experience with Elasticsearch or similar; understanding of similarity search indexing strategies and embedding management.
  • Linux Systems: Strong command-line skills; shell scripting; system-level monitoring and debugging.
  • Python Programming: Proficient in automation scripting; experience in building AI models data pipelines and OpenAI integrations.
  • Big Data Technologies: Familiarity with Hadoop-based platforms like MapR and Hortonworks.

AI Platform & Production Support

  • Experience supporting predictive AI workloads in production.
  • Troubleshooting across data ingestion model inference and deployment layers.
  • Familiarity with CI/CD pipelines and containerization (Docker Kubernetes).
  • On-call support for GenAI and predictive pipelines (1 week every 6 8 weeks).
  • Understanding of enterprise disaster recovery (DR) solutions including backup and restore.

Observability & Monitoring

  • Ability to define and implement observability strategies for AI systems.
  • Experience with tools such as Splunk Grafana ELK stack OpenTelemetry.
  • Proactive monitoring of model failures latency and system health.

Bonus Qualifications

  • Multi-cloud Experience: Exposure to GCP and Azure environments.
  • Data Science Lifecycle: Involvement in full-cycle projects including problem definition data exploration modeling evaluation training scoring and operationalization.
  • MLOps Principles: Understanding of model lifecycle management and collaboration with data scientists to deploy solutions.

Desired Qualifications:

  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and collaboration skills to work effectively with cross-functional teams.
  • 2 years of Python development experience
  • 3 years of Linux experience

Employment Type

Full-time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.