Skills

Agile Programming Methodologiesunmatched

Amazon Web Services (AWS)unmatched

Application Integrationunmatched

Application Programming Interface (API)unmatched

Architectural Designunmatched

Artificial Intelligence (AI)unmatched

Chef (Configuration Management)unmatched

Cloud Computingunmatched

Communication Skillsunmatched

Computer Scienceunmatched

Data Scienceunmatched

DevOpsunmatched

Dockerunmatched

Gitunmatched

GitHubunmatched

IBM WebSphere DataStageunmatched

Information Technology & Information Systemsunmatched

Information/Data Security (InfoSec)unmatched

JSONunmatched

Jenkinsunmatched

Machine Learningunmatched

Order Picking/Packingunmatched

Predictive Modelingunmatched

Puppet (Configuration Management)unmatched

Python Programming/Scripting Languageunmatched

R Programming Languageunmatched

REST (Representational State Transfer)unmatched

Team Playerunmatched

Warehousingunmatched

Description

Desired Skills:
AI/ML knowledge (not a data scientist but knowledge of AI/ML capabilities, patterns, and integrations)

Job Summary:

We are seeking an experienced Architect with 8 to 10 years of expertise in AWS Machine Learning, Docker, AI & ML concepts, Machine Learning, Artificial Intelligence, and Kubernetes.
The role involves designing and implementing innovative solutions to drive business success.
This hybrid role offers the opportunity to work in a dynamic environment during day shifts, with no travel required.

Responsibilities:

Bachelor's Degree in a related field, Computer Science, AI, and ML.
8 to 10 years of IT and business industry development experience
2 to 4 years of AI ML knowledge, not a data scientist, but knowledge of AI/ML capabilities, patterns, and integrations
Knowledge of data standards, security, ingestion, warehousing, and storage. Validated knowledge of successful design, architecture, and development using AWS Cloud technologies.
Experience with AWS product categories like Analytics, Application Integration, Compute, Database, and Serverless.
Experience with Snowflake
Experience with AI ML. Collaborate with Agile teams to recommend the right architectures with high quality and software standard methodologies.
Strong communication skills.
Nice to have Experience with one or more data Integration Technologies, Matillion, Pentaho, DataStage, etc APIs, Apigee, Developer Portals.
Expertise in JSON, RESTful services, and related tech
Expertise in R, Python, and predictive analytics. Docker containers, Kubernetes, OpenShift, Ansible, Nexus, Software-defined networking.
DevOps DevSecOps: Chef, Puppet, Jenkins, Packer, Git, GitHub Mandatory Skills Knowledge of data standards, security, ingestion, warehousing, storage Validated knowledge of successful design, architecture, and development using AWS Cloud technologies.
Experience with AWS product categories like Analytics, Application Integration, Compute, Database, and Serverless.
Strong communication and collaboration skills.
Desired Skills: AI/ML knowledge, not a data scientist, but knowledge of AI/ML capabilities, patterns, and integrations
Experience with Snowflake.

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