AI ML Platform Engineer

• Design and deliver AI & ML Platform as a Service solution(s) including Generative AI capabilities
• Work on designing hybrid cloud architecture patterns, product evaluations, and enablement efforts
• Contribute towards driving strategy and roadmap for evolving Citi's data analytics ecosystem
• Stay up to date with industry trends and advancements in AI technologies including GenAI

• Strong understanding of private and public cloud technologies, architectures, network designs
• Working experience with one of AWS, GCP, or Azure (GCP preferred)
• Knowledge of GenAI services on GCP, AWS or Azure
• Proven experience with AI & ML technologies
• Understanding of platform architecture, high availability, fail-over, disaster recovery planning
• Knowledge of business intelligence solutions (Tableau, Qlik) and analytics solutions (H2O, Dataiku, Google Vertex AI)
• Exposure to BigData technologies (Hadoop, Spark, Hive, Impala, HBase, YARN) with Cloudera or MapR (Cloudera preferred)
• Hands-on work with Java, Python, Ruby or similar
• Working knowledge of container technologies, Kubernetes, Infrastructure as Code (IaC), and CI/CD
• Excellent written and verbal communication skills
• Capable of building, articulating, and presenting ideas to technical and non-technical audiences
• Experience managing vendor interactions
• Self-starter able to work with minimal supervision
• Bachelor's degree required
• 8 or more years of experience in Computer Science, Applications, or relevant technologies

Experience in moving application workloads from on-premises Hadoop platforms to GCP IaaS services like Google Cloud Engine, Google Cloud Storage and/or PaaS services like Dataproc, Big Query, and Big Table

• Medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages including vacation, sick leave, and paid holidays
• discretionary and formulaic incentive and retention awards