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 travel
Duration: Project Duration or potentially six-to-twelve (6-12) months based on demand pipeline

Skill Summary: Cohere North Platform Engineer SME

1 Opportunity Overview
As 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 interface
o Conversational speech
o RQA
o administrative configuration
You will be partnering with Dell consultants to ensure successful delivery, enablement, and customer readiness for Cohere North deployments.
2 Essential Requirements and Skills
• 3+ 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 authentication
• Work with data science projects, workbenches, configure data connections, Deploy trained models using model serving, Create data science pipelines
• Understanding of data warehousing concepts and technologies.
• Experience with data management including data profiling, sourcing, quality, and transformation.
3 Desired and Skills
• Containers
o Kubernetes, Docker, Tanzu, Rancher
• CI/CD Pipelines and Orchestration
o Jenkins, Concourse, ServiceNow, Gitlab CI/CD, Tekton
• AIOps and MLOps Platforms
o Cnvrg.ai, Nemo, Mlflow, Domino, Triton Inference Server, Hugging Face
• Methodology and Process
o Scrum, Kanban, Lean, SRE, GitOps
• Automation Tools
o Puppet, Chef, Ansible, Terraform, Cloud Formations
• Machine and Deep Learning languages, tools, and libraries
o Python, TensorRT, Pytorch, Keras, Scikit-learn, CUDA, Pandas
• NoSql Databases
o Cassandra, MongoDB, Redis, Vector Databases