AI/ML Platform Engineer (GCP)

Our client, a successful industry leader in financial services and banking, has an excellent opportunity for an AI/ML Platform Engineer to work on a contract opportunity. Work will be a hybrid on-site/remote schedule in Concord, CA. The AI/ML Platform Engineer will be responsible for designing, implementing, and maintaining AI/ML infrastructure and solutions that leverage the full power of GCP. Your expertise will be crucial in enabling our data scientists and machine learning engineers to develop, deploy, and scale AI models efficiently and effectively. This position is a contract opportunity, offering a comprehensive benefits package that includes medical, dental, vision, disability, and life insurance, plus 401(k), and weekly payment. Responsibilities of the AI/ML Platform Engineer (GCP): Build robust AI/ML platforms on GCP, ensuring scalability, reliability, and performance. Set up and maintain GCP services such as AI Platform, BigQuery, Cloud Storage, Compute Engine, and Kubernetes Engine. Develop automated workflows and pipelines for model training, validation, deployment, and monitoring. Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solutions. Continuously optimize the AI/ML infrastructure for cost, performance, and security. Implement monitoring solutions to ensure the health and performance of AI/ML systems and troubleshoot any issues that arise. Maintain comprehensive documentation of the architecture, workflows, and best practices. Requirements of the AI/ML Platform Engineer (GCP): Proven experience as an AI/ML engineer with a focus on platform engineering and GCP. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Experience in Terraform and Helm will be an advantage. Experience in implementing inferencing, benchmarking and fine-tuning of Generative AI models using GCP services. Strong understanding of LLMs and proven experience building platforms and applications that leverage them. Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Strong understanding of data storage, processing, and ETL workflows. Knowledge in chunking strategies for vector database Knowledge on classification & Embedding models. Preferred Skills: B.S. in Computer Science, Mathematics, or Engineering or equivalent work experience Designing, developing, testing, optimizing Python microservices using gRPC Python development experience Linux experience Job ID: JN-012025-92285

Created: 2025-01-23