Jr. Architect (AI Engineer with AWS)
Why This Role Stands Out
This hybrid role at Swanktek Inc. offers a fantastic opportunity to leverage your AWS, AI/ML, and Kubernetes expertise to design and implement cutting-edge solutions, fostering significant career growth within a reputable technology company. If you're an experienced architect with a passion for innovation and a knack for collaboration, you'll thrive in this dynamic environment, contributing to impactful projects while enjoying excellent work-life balance.
Quick Overview
Job Description
Desired Skills: AI/ML knowledge (not a data scientist but knowledge on 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: Job Description 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 on AI ML capabilities, patterns and integrations 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, 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 similar related tech Expertise in R, Python and predictive analytics. Containers Docker, 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, Serverless. Strong communication and collaboration skills. Desired Skills AI ML knowledge not a data scientist but knowledge on AI ML capabilities, patterns and integrations Experience with Snowflake.
Skills
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