What are the responsibilities and job description for the Junior Architect (AI Engineer with AWS Skills) -W2 ONLY - In-Person Interview position at Saransh Inc?
In-Person Interview Mandatory
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.
Job Description
Bachelor s Degree in a related field (Computer Science, AI/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 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 Snowflake
Experience with One or more data Integration Technologies (Matillion, Pentaho, Datastage, etc.).
API s, 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.
Job Description
Bachelor s Degree in a related field (Computer Science, AI/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 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 Snowflake
Experience with One or more data Integration Technologies (Matillion, Pentaho, Datastage, etc.).
API s, 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