drjobs AI-ML Platform Tech Lead Arch

AI-ML Platform Tech Lead Arch

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

Job title: AIML Platform Tech Lead & Arch

Location: Charlotte NC & San Leandro CA

Key Responsibilities:

  • Design and architect scalable AI platforms to develop deploy AI solutions leveraging ML techniques
  • and Deep Learning Techniques.
  • Drive Joint Architecture Design to collaborating with business stakeholders data scientists
  • engineering teams product and other key partners to gather functional nonfunctional
  • requirements for solving AI use case on the AI Platform
  • Evaluate emerging technologies and tools in AI area and do fitment analysis to the Enterprise AI
  • Platform and capabilities strategy.
  • Define and implement AI/ML architecture best practices frameworks and standards.
  • Lead AI/ML infrastructure setup including cloud services selection data pipelines and model
  • deployment.
  • Ensure robustness reliability and scalability of AI/ML solutions in production environments.
  • Design and implement data governance security and compliance measures for AI/ML platforms.
  • Optimize AI/ML workflows for performance cost efficiency and resource utilization.
  • Provide technical leadership and mentorship to AI/ML development teams.
  • Communicate AI/ML architecture decisions and strategies to stakeholders and executives.

Key Requirements:

  • Proven experience as an AI/ML platform architect
  • Deep understanding of ML algorithms Deep Learning architechture models and frameworks (e.g.
  • TensorFlow PyTorch ScikitLearn).
  • Expertise in cloud platforms (e.g. GCP Azure) and their AI services.
  • Strong knowledge of Model development life cycle software engineering principles data engineering
  • principles
  • Experience with containerization and orchestration tools onprem and cloud (e.g. AKS GKE OpenShift

Container Platform Docker Kubernetes) for deploying AI/ML models.

  • Ability to design and optimize distributed computing systems for AI/ML workloads.
  • Familiarity with DevOps practices CI/CD pipelines and automation tools in AIML contexts.
  • Excellent problemsolving skills and ability to address complex technical challenges.
  • Effective communication skills to collaborate with crossfunctional teams and stakeholders.

Employment Type

Full Time

Company Industry

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.