GCP ML Engineer (Vertex AI)

• Design and build scalable AI/ML platform components across on-prem and public cloud environments including Google Cloud Platform, GKE, OpenShift AI (RHOAI), and IBM Cloud Pak for Data for multi-tenant operations.
• Architect hybrid CPU/GPU grid computing, object and high-performance storage, and low-latency networking to support demanding AI workloads.
• Deploy and manage enterprise AI tooling including H2O AI platforms (Driverless AI) for automated model development and data virtualization.
• Implement and administer Run:ai to optimize GPU/CPU utilization with high-throughput and low-latency scheduling for training and inference.
• Operationalize end-to-end LLM and classical ML pipelines using Vertex AI with CI/CD, automated validation, and observability.
• Build and maintain vector databases, chunking, and embedding strategies to enable RAG-based applications.
• Deploy and manage Istio service mesh for secure, observable, and resilient service-to-service and AI API communication.
• Apply SRE practices including circuit breakers, autoscaling, and reliability patterns to ensure system health.
• Lead cross-functional architecture discussions and influence platform direction and standards.

Do you have experience in Python?, * 5+ years of Python programming and 3+ years of MLOps experience in production environments.

• 5+ years with Big Data platforms such as BigQuery or Hadoop and 3+ years with PySpark.
• 2+ years building APIs, preferably with FastAPI, and integrating with Google Cloud Platform/Azure or API gateways.
• Expertise with containerization and orchestration including Google Cloud Platform, GKE, Red Hat OpenShift, and Docker with service mesh integration.
• Hands-on experience with Vertex AI for pipelines and IBM Cloud Pak for Data for enterprise data management.
• Strong understanding of LLMs and vector databases, plus working knowledge of AutoML platforms such as H2O Driverless AI or DataRobot.
• Advanced IaC skills with Terraform, Helm, or Ansible for automating cloud landing zones and cluster configurations.
• Proficiency in PySpark, Hadoop, or BigQuery for high-throughput data processing and vectorization pipelines.
• Experience with RAG, prompt orchestration, fine-tuning, and safety/guardrails (preferred).
• Deep understanding of GPU/CPU orchestration and high-performance storage for AI workloads (preferred).
• Ability to lead cross-functional architecture forums and influence senior stakeholders (preferred).
• Familiarity with Agile methodologies and enterprise project management tools (preferred).

Alaska Remote $84 - $94 an hour, Pulled from the full job description

• Referral program
• Health insurance
• 401(k) matching
• Vision insurance
• Dental insurance
• Life insurance
• Disability insurance, acknowledge, agree, and consent to OpenKyber’s use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of OpenKyber who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with OpenKyber, please ensure that you are working directly with us by confirming the following: When you work with OpenKyber, all email communication will come from an OpenKyber.com address, never Gmail, Yahoo, etc. OpenKyber will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with OpenKyber. If you have any indication of fraudulent activity, please contact . About OpenKyber: OpenKyber is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. OpenKyber is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. OpenKyber does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!