ClearML – GenAI Consultant
We are seeking a ClearML – GenAI Consultant to join our client's Consulting Services Delivery organization.
This remote position will last for over 6 months and focuses on customer-facing implementation engagements centered around deploying, configuring, and validating ClearML on the Client's AI Factory. The hourly rate is $90-$100. If you are interested, please reach out directly to [email protected].
Key responsibilities include:
- Deploying an onsite ClearML platform on AI Factory, ensuring end-to-end functionality with a single tenant.
- Conducting workshops to identify implementation requirements and validating customer use cases for ClearML.
- Installing and configuring the ClearML Infrastructure Control Plane for one GPU cluster.
- Enabling the AI Development Center and the GenAI App Engine for endpoint launch and monitoring.
- Supporting functional validation activities, including deploying a sample LLM or RAG endpoint with preconfigured authentication/networking via App Engine.
- Performing a basic training pipeline using the AI Development Center.
- Implementing baseline RBAC for a single tenant.
Essential requirements and skills:
- 3+ years of experience in infrastructure deployment, setup, and configuration through automation.
- 1+ years of experience with the ClearML Platform.
- Familiarity with Large Language Models and Generative AI solutions, focusing on AI development agents.
- Ability to collaborate with Customer SMEs for requirement gathering, use case definition, prioritization, and model identification.
- Proficiency in translating business specifications into documentation.
- Understanding of data concepts and technologies, including data models and metadata.
- Experience configuring SSO, DNS, and LDAP authentication.
- Background in data science projects, model serving, and creating data science pipelines.
- Knowledge of data warehousing concepts and data management practices.
Desired skills include experience with:
- Containers (Kubernetes, Docker, Tanzu, Rancher)
- CI/CD Pipelines and Orchestration (Jenkins, Concourse, ServiceNow, Gitlab CI/CD, Tekton)
- AIOps and MLOps Platforms (Cnvrg.ai, Nemo, Mlflow, Domino, Triton Inference Server, Hugging Face)
Remote
Skills:
Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Authentication, Automation, Consulting, Continuous Deployment/Delivery, Continuous Integration, Customer Relations, Customer/Client Research, DNS (Domain Name System), Data Management, Data Modeling, Data Science, Data Warehousing, Docker, Establish Priorities, Functional Testing, GPU (Graphics Processing Unit), Google App Engine (GAE), Jenkins, LDAP (Lightweight Directory Access Protocol), Metadata, Modeling Languages, Requirements Validation/Verification, Service Delivery, ServiceNow, Single Sign-On (SSO), Team Player, Use Cases
About the Company:
The Peak Organization
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This remote position will last for over 6 months and focuses on customer-facing implementation engagements centered around deploying, configuring, and validating ClearML on the Client's AI Factory. The hourly rate is $90-$100. If you are interested, please reach out directly to [email protected].
Key responsibilities include:
- Deploying an onsite ClearML platform on AI Factory, ensuring end-to-end functionality with a single tenant.
- Conducting workshops to identify implementation requirements and validating customer use cases for ClearML.
- Installing and configuring the ClearML Infrastructure Control Plane for one GPU cluster.
- Enabling the AI Development Center and the GenAI App Engine for endpoint launch and monitoring.
- Supporting functional validation activities, including deploying a sample LLM or RAG endpoint with preconfigured authentication/networking via App Engine.
- Performing a basic training pipeline using the AI Development Center.
- Implementing baseline RBAC for a single tenant.
Essential requirements and skills:
- 3+ years of experience in infrastructure deployment, setup, and configuration through automation.
- 1+ years of experience with the ClearML Platform.
- Familiarity with Large Language Models and Generative AI solutions, focusing on AI development agents.
- Ability to collaborate with Customer SMEs for requirement gathering, use case definition, prioritization, and model identification.
- Proficiency in translating business specifications into documentation.
- Understanding of data concepts and technologies, including data models and metadata.
- Experience configuring SSO, DNS, and LDAP authentication.
- Background in data science projects, model serving, and creating data science pipelines.
- Knowledge of data warehousing concepts and data management practices.
Desired skills include experience with:
- Containers (Kubernetes, Docker, Tanzu, Rancher)
- CI/CD Pipelines and Orchestration (Jenkins, Concourse, ServiceNow, Gitlab CI/CD, Tekton)
- AIOps and MLOps Platforms (Cnvrg.ai, Nemo, Mlflow, Domino, Triton Inference Server, Hugging Face)
Remote
Skills:
Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Authentication, Automation, Consulting, Continuous Deployment/Delivery, Continuous Integration, Customer Relations, Customer/Client Research, DNS (Domain Name System), Data Management, Data Modeling, Data Science, Data Warehousing, Docker, Establish Priorities, Functional Testing, GPU (Graphics Processing Unit), Google App Engine (GAE), Jenkins, LDAP (Lightweight Directory Access Protocol), Metadata, Modeling Languages, Requirements Validation/Verification, Service Delivery, ServiceNow, Single Sign-On (SSO), Team Player, Use Cases
About the Company:
The Peak Organization
Apply tot his job
Apply To this Job