AI/ML Engineer (Gen AI-LLM-MLOps)

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AI-ML Lead Engineer/Architect (Gen AI/MLops)

Location: Wilmington, DE (Onsite Day1, Hybrid 3 Days a Week)

Employment Type: Long Term, W2/Full Time Highly Preferred

Company: Ccube

Job Overview

Join our team at Ccube as an AI/ML Engineer with a focus on data engineering, feature engineering, and MLOps. Drive innovative AI solutions and architecture design in a collaborative environment.

Key Responsibilities

  • Design and architect scalable AI platforms leveraging ML and Deep Learning techniques.
  • Collaborate with business stakeholders, data scientists, and engineering teams to gather requirements for AI use cases.
  • Evaluate emerging AI technologies and align them with our Enterprise AI strategy.
  • Define AI/ML architecture best practices, frameworks, and standards.
  • Lead AI/ML infrastructure setup including cloud services, data pipelines, and model deployment.
  • Ensure the robustness, reliability, and scalability of AI/ML solutions in production.
  • 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 teams.
  • Communicate AI/ML architecture decisions and strategies to stakeholders and executives.

Key Requirements

  • Proven experience in AI/ML platform design and architecture.
  • Deep understanding of ML algorithms, Deep Learning architectures, and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Expertise in cloud platforms (e.g., GCP, Azure) and their AI services.
  • Strong knowledge of the model development lifecycle, software engineering principles, and data engineering principles.
  • Experience with containerization and orchestration tools (e.g., AKS, GKE, OpenShift, Docker, Kubernetes).
  • Ability to design and optimize distributed computing systems for AI/ML workloads.
  • Familiarity with DevOps practices, CI/CD pipelines, and automation tools.
  • Excellent problem-solving skills and the ability to address complex technical challenges.
  • Effective communication skills for collaborating with cross-functional teams and stakeholders.

Benefits

Actual compensation is influenced by years of experience, specialized skill sets, and unique qualifications. Ccube provides various benefits such as subsidized medical, dental, and vision insurance.

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