Devops/AI/ML/Kubernetes

Position: Data Engineer/Devops/Big data -Open Position-CA
Type: contract
Duration: 12+ months
Location: Pleasanton, CA

Job Description:
We are really looking for someone that has experience building an analytics platform and some light work with showing people how to use it. The candidate would need to know enough to get users and how to do simple submits maybe and someone who is an operational visionary in this space of analytics / bigdata that can help develop or implement new tools to better run Kubernetes platforms, storage, GPU usage, parallel processing code (CUDA) etc.

Required Skills:

Spark

Hadoop/CDH

H2O/Steam

MapR

Kubernetes
Docker

Tensorflow

Apache Airflow

Apache Toree

Jupyterhub

Rstudio

PyTorch

ELK

OpenVino

MySql

GitLab

Traefik

Prometheus, Grafana, Node Manager, Alert Manager

Vault

Machine learning methods and data mining, Including the use of 2 or more novel/emerging methods in supervised learning (Eg: Standard regression, shrinkage methods, subset selection, discriminant analysis, tree-based methods, boosting, random forests, neural networks) Unsupervised learning (clustering, Self-organizing maps) and ensemble modeling Distributed computing methodology both in terms of HW (working across multiple servers) as well as SW tools,(Hadoop, H20 etc) In-memory analytic Packages (R, Python, Scala) and Visualization (Tableau)

3 yrs of experience on Projects, programs, requiring the integration of cross-functional technology and business solutions.

4 years in leadership role with project or technical teams.

Notes: Client needs someone who can bring the ecosystem together

Currently client has on prime environment

The want someone to bring the data environment ,containerization with docker with backend and

hook all the components together like R, python, pytorch, spark, Mapr, Big data

Please do reply to me with your updated resume with the hourly rates ASAP

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