Cohere North Platform Engineer SME/Remote-6-12 months

Role Name: Consultant-(Cohere North Platform Engineer SME)Location: Onsite or Remote-Based Delivery with ability to travelDuration: Project Duration or potentially six-to-twelve (6-12) months based on demand pipelineSkill Summary: Cohere North Platform Engineer SME1 Opportunity OverviewAs a consultant aligned to Client's, you will participate in customer-facing engagements implementing Cohere North on Dell AI Factory.Your responsibilities will directly support the RROM-defined objectives:Deploying and operationalizing the foundational Cohere North platform on Dell AI Factory in the customer's environment.Supporting Agentic AI orchestration.Conducting workshops to identify implementation requirements and validate customer needs and use cases for Cohere North.Deploying the Cohere Platform Deployment on Dell AI Factory leveraging the automation framework, including:o Chat interfaceo Conversational speecho RQAo administrative configurationYou will be partnering with Dell consultants to ensure successful delivery, enablement, and customer readiness for Cohere North deployments.2 Essential Requirements and Skills3+ years of experience implementing and supporting infrastructure deployment, setup and configuration through automation.1+ years of experience configuring, managing, and administering Cohere North Platform.Experience in Large Language Models and Generative AI solutions, with a focus on AI development agents.Ability to collaborate with Customer SMEs to lead the requirement gathering, use case definition, prioritization, and model identification.Ability to translate business specifications to documentation.Understanding of data related concepts and technologies, including data models, metadata, data dictionaries, and sequences.Experience configuring SSO, DNS, and LDAP authenticationWork with data science projects, workbenches, configure data connections, Deploy trained models using model serving, Create data science pipelinesUnderstanding of data warehousing concepts and technologies.Experience with data management including data profiling, sourcing, quality, and transformation.3 Desired and Skills• Containerso Kubernetes, Docker, Tanzu, Rancher• CI/CD Pipelines and Orchestrationo Jenkins, Concourse, ServiceNow, Gitlab CI/CD, Tekton• AIOps and MLOps Platformso Cnvrg.ai, Nemo, Mlflow, Domino, Triton Inference Server, Hugging Face• Methodology and Processo Scrum, Kanban, Lean, SRE, GitOps• Automation Toolso Puppet, Chef, Ansible, Terraform, Cloud Formations• Machine and Deep Learning languages, tools, and librarieso Python, TensorRT, Pytorch, Keras, Scikit-learn, CUDA, Pandas• NoSql Databaseso Cassandra, MongoDB, Redis, Vector Databases