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AI/ML Engineer

  • Full Time, onsite
  • InterSec Inc.
  • On Site Hybrid 3 days onsite, United States of America
Salary undisclosed

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Job Title:AI/ML Engineer

Location: Brooklyn, NY (Hybrid 3 days onsite, 2 days remote)

Duration: 12 months

Job Description:

Seeking an AI/ML Engineer, the role involves architecting and deploying an on-prem AI/ML environment, optimizing GPU clusters, and integrating AI solutions into enterprise systems.

Key Responsibilities:

  • Design and deploy on-prem AI/ML infrastructure, including GPU clusters and HPC resources.
  • Optimize networking, storage, and compute resources for AI workloads.
  • Implement scalable storage solutions for efficient data management.
  • Ensure system reliability, security, and performance in Linux environments.
  • Configure MLOps pipelines using Docker, Kubernetes, and CI/CD frameworks.
  • Set up ML Oracle Cloud from scratch for scalable AI operations.
  • Collaborate with cross-functional teams to integrate AI models into Power BI, Oracle Analytics, and enterprise applications.

Mandatory Qualifications:

  • Master s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  • 3+ years of experience in AI/ML engineering, MLOps, and cloud AI deployment.
  • Expertise in Linux-based AI/ML environments, performance tuning, and scripting.
  • Hands-on experience with HPC environments, GPU clusters (H100, A100), and distributed AI workloads.
  • Proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch.
  • Experience integrating AI models with Power BI, Oracle Analytics, or APIs.
  • Certifications in Oracle Data Science Platform (preferred).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Job Title:AI/ML Engineer

Location: Brooklyn, NY (Hybrid 3 days onsite, 2 days remote)

Duration: 12 months

Job Description:

Seeking an AI/ML Engineer, the role involves architecting and deploying an on-prem AI/ML environment, optimizing GPU clusters, and integrating AI solutions into enterprise systems.

Key Responsibilities:

  • Design and deploy on-prem AI/ML infrastructure, including GPU clusters and HPC resources.
  • Optimize networking, storage, and compute resources for AI workloads.
  • Implement scalable storage solutions for efficient data management.
  • Ensure system reliability, security, and performance in Linux environments.
  • Configure MLOps pipelines using Docker, Kubernetes, and CI/CD frameworks.
  • Set up ML Oracle Cloud from scratch for scalable AI operations.
  • Collaborate with cross-functional teams to integrate AI models into Power BI, Oracle Analytics, and enterprise applications.

Mandatory Qualifications:

  • Master s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  • 3+ years of experience in AI/ML engineering, MLOps, and cloud AI deployment.
  • Expertise in Linux-based AI/ML environments, performance tuning, and scripting.
  • Hands-on experience with HPC environments, GPU clusters (H100, A100), and distributed AI workloads.
  • Proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch.
  • Experience integrating AI models with Power BI, Oracle Analytics, or APIs.
  • Certifications in Oracle Data Science Platform (preferred).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job