Gen AI Engineer (Cohere North Platform)
Remote
Contract
4 weeks ago
Key skills
PythonNoSQLAIDeep LearningGenerative AILarge Language ModelsPyTorchscikit-learnPandasHugging FaceMLOpsKerasMLflowData WarehousingCassandraTerraformKubernetesDockerJenkinsGitLab CIAnsibleRancherMongoDBRedisLDAPSSOGitLabGitOpsServiceNowScrumKanbanCI/CD
About this role
Greetings!!
We have a Remote job opportunity for a Gen AI Engineer (Cohere North Platform) with one of our clients. If interested, please respond to me with the below-required details, or I would appreciate it if you could refer an ex-colleague/team member/friend looking for similar roles. CardinalIT offers a referral bonus of $500 for each such referral, to show gratitude and appreciation for this gesture.
- Updated Resume:
- Expected rate range W2:
- Availability to start:
I'm looking forward to hearing back from you.
Job Title: Gen AI Engineer (Cohere North Platform)
Location: Remote
Duration: 6 12+ Months Contract
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.
Desired and Skills
- 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
- Methodology and Process
- Scrum, Kanban, Lean, SRE, GitOps
- Automation Tools
- Puppet, Chef, Ansible, Terraform, Cloud Formations
- Machine and Deep Learning languages, tools, and libraries
- Python, TensorRT, Pytorch, Keras, Scikit-learn, CUDA, Pandas
- NoSql Databases
- Cassandra, MongoDB, Redis, Vector Databases