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AI/ML Engineer

Salary undisclosed

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Job Title: AI/ML Engineer

Location: Brooklyn, NY

Job Type: Full-Time

Onsite

Job Description:

We are seeking a skilled and proactive AI/ML Engineer to join our dynamic team. The ideal candidate will collaborate closely with our network and DevOps teams to design, implement, and manage AI/ML infrastructure both on-premises and in the cloud. This role requires hands-on experience with end-to-end AI/ML solutions, from development to deployment, as well as the ability to work independently on smaller-scale implementations.

Key Responsibilities:

  • Collaborate with network and DevOps teams to build and maintain AI/ML infrastructure across on-premises and cloud environments.
  • Design, develop, and deploy machine learning models, ensuring scalability, reliability, and performance.
  • Manage and optimize data pipelines, model training processes, and MLOps workflows.
  • Integrate AI/ML solutions into existing systems and workflows, ensuring seamless operation.
  • Monitor, troubleshoot, and enhance AI/ML applications and infrastructure.
  • Stay updated on the latest AI/ML technologies and recommend improvements to systems and processes.

Requirements:

  • Proven experience in AI/ML engineering, with a strong understanding of infrastructure and deployment strategies.
  • Hands-on experience with cloud platforms like Azure and Oracle Cloud Infrastructure (OCI).
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with CI/CD pipelines and infrastructure as code (IaC).
  • Strong problem-solving skills and the ability to work both independently and as part of a team.

Job Title: AI/ML Engineer

Location: Brooklyn, NY

Job Type: Full-Time

Onsite

Job Description:

We are seeking a skilled and proactive AI/ML Engineer to join our dynamic team. The ideal candidate will collaborate closely with our network and DevOps teams to design, implement, and manage AI/ML infrastructure both on-premises and in the cloud. This role requires hands-on experience with end-to-end AI/ML solutions, from development to deployment, as well as the ability to work independently on smaller-scale implementations.

Key Responsibilities:

  • Collaborate with network and DevOps teams to build and maintain AI/ML infrastructure across on-premises and cloud environments.
  • Design, develop, and deploy machine learning models, ensuring scalability, reliability, and performance.
  • Manage and optimize data pipelines, model training processes, and MLOps workflows.
  • Integrate AI/ML solutions into existing systems and workflows, ensuring seamless operation.
  • Monitor, troubleshoot, and enhance AI/ML applications and infrastructure.
  • Stay updated on the latest AI/ML technologies and recommend improvements to systems and processes.

Requirements:

  • Proven experience in AI/ML engineering, with a strong understanding of infrastructure and deployment strategies.
  • Hands-on experience with cloud platforms like Azure and Oracle Cloud Infrastructure (OCI).
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with CI/CD pipelines and infrastructure as code (IaC).
  • Strong problem-solving skills and the ability to work both independently and as part of a team.