TC
Junior Architect (AI Engineer with AWS Skills)
TechDigital Corporation
🇺🇸 United States
Hybrid
Junior
2 months ago
- AI/ML
- AWS
- Machine Learning
- Docker
- AI
- Kubernetes
- AWS Cloud
- Snowflake
- Agile
- Apigee
- JSON
- Python
- OpenShift
- Ansible
- Nexus
- Devops
- DevSecOps
- Puppet
- Jenkins
- Packer
- Git
- GitHub
2 months ago
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.
Junior Architect (AI Engineer with AWS Skills) · TechDigital Corporation