AI/ML Engineer

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. Years of Experience: 12.00 Years of Experience Rate Details Data Mgt\_Administration AWS Admin Yes 1