NEWPosted 1 hour ago

Job ID: JOB_ID_7688

Job Overview

We are seeking a highly experienced GCP AI/ML Tech Lead to design, develop, and deploy scalable, production-grade AI solutions. The ideal candidate will possess strong expertise in Vertex AI, Generative AI, and MLOps, coupled with proven leadership experience in guiding teams to deliver cutting-edge AI applications on the Google Cloud Platform.

Key Responsibilities

  • Define and implement robust AI/ML architecture and best practices on GCP.
  • Lead the development of enterprise-scale AI solutions, including Generative AI and multi-agent systems.
  • Utilize a range of GCP services such as Vertex AI, Gemini, BigQuery ML, and Dataflow to build and deploy AI models.
  • Drive end-to-end MLOps practices, encompassing CI/CD, deployment, monitoring, and lifecycle management of ML models.
  • Provide technical leadership and mentorship to development teams, ensuring the delivery of high-quality, production-grade AI solutions.
  • Collaborate effectively with stakeholders, including product managers and business leaders, to align technical solutions with strategic business needs.
  • Ensure the scalability, reliability, and performance of AI/ML solutions deployed on GCP.
  • Stay abreast of the latest advancements in AI/ML, Generative AI, and GCP technologies.

Key Skills Required

  • 9-10 years of comprehensive experience with cloud platforms, with a specific focus on GCP.
  • Strong hands-on experience with Vertex AI and the broader GCP AI/ML stack.
  • Expertise in Python programming and popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Demonstrated experience with Generative AI / LLMs and building agent-based workflows.
  • Hands-on experience with containerization technologies like Docker and Kubernetes (GKE).
  • Proven experience in establishing and managing CI/CD pipelines for AI/ML projects.
  • Proven experience in leading technical teams and successfully delivering production-grade AI solutions.

Preferred Skills

  • Google Cloud Professional ML Engineer Certification.
  • Experience in building and managing scalable distributed systems.
  • Industry experience in Healthcare, Finance, or High-Tech domains.

Employment Type

Remote C2C Contract

Location

Remote


Special Requirements

Industry experience in Healthcare, Finance, or High-Tech domains is preferred.


Compensation & Location

Salary: $70 – $90 per year

Location: Remote


Recruiter / Company – Contact Information

Email: tjobs10@gmail.com


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