Hi

This is *Abdul Raheem* from *Exatech Inc*. I have an immediate position
mentioned below. Please review and let me know your interest.


*Please share the updated resume to *rah...@exatechinc.com



*Role: ML Ops Engineer*

Location: San Francisco, CA

Duration: 12+ Months

Interview: Video



*Must have: *Experience with GCP, Kubernetes, Terraform, or Airflow.



*Required:*

·         Develop and deploy customized Kubernetes clusters for MLOps
services like Kubeflow

·         Configure and integrate various MLOps application components such
as model lifecycle management, model serving, hyperparameter tuning, object
storage, load balancers, authentication, etc. (e.g. mlflow, knative, katib,
minio, istio, dex, oidc authservice)

·         Understanding of the ML workflow, and how ML pipelines automate
the workflow (data preprocessing, model training, model evaluation,
hyperparameter tuning, model serving, model registries, etc.)

·         Build and test ML pipelines

·         Develop custom container images optimized for ML experimentation

·         Develop and deploy SageMaker domains with custom lifecycle
configurations (e.g. idle kernel auto-shutdown) and custom images

·         Wide experience with Kubernetes and Docker is a must have

·         Industry experience with Amazon Web Services, IAM, VPC, API
Gateway, NLB, ALB, EC2, ECS, EKS, Lambda, S3, RDS, DynamoDB, SQS, etc.

·         Candidate must have demonstrated a strong knowledge of Linux
systems

·         Proficiency in Python and Bash scripting is a must

·         Experience in CI/CD/CT pipelines implementation. Deployment
automation with CICD tools and Infrastructure-as-Code (IaC)

·         Good understanding of networking and related protocols. (HTTP,
DNS, TLS, TCP)

·         Candidates must have demonstrated experience in troubleshooting
problems and working with a team to resolve production issues.

·         Understanding of cloud provisioning tools, e.g. CloudFormation
and Terraform.

·         Good understanding of database technologies

·         Intimate familiarity with the DevOps toolkit (Terraform, Ansible,
Chef, and other tools).

·         Exposure to messaging pub/sub systems (e.g. AWS SNS, SQS, RedisQ
etc.)

·         Exposure to data science IDEs like Rstudio or Jupyter notebook is
a huge plus



Thanks and Regards



*Abdul Raheem, Sr. Talent Acquisition Lead*

*Phone: *(202) 301-7873

*Email:* rah...@exatechinc.com

Skype & Hangout: mdabdulrahee...@gmail.com

*4555 Lake Forest Drive, Suite 650 **| **Cincinnati, OH  45242  *

An E-Verified Company

USA-Canada-INDIA

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