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
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.