The AI & ML Platform Engineer will be instrumental in implementing architecture and engineering processes, and best practices to enable application hosting in environments on-premises, on public cloud platforms, or as hybrid deployments. The candidate should have knowledge of AI & ML solutions, modern micro-services architectures, Kubernetes, and cloud infrastructure. The role is responsible for exploration, technical advisory, and development of platform services using secure, safe, and robust architecture(s).

Responsibilities: 

• Design and deliver AI & ML Platform as a Service solution(s) including Generative AI (GenAI) capabilities as turn-key offerings to support Citi lines of businesses.
• Work on designing hybrid cloud architecture patterns, product evaluations, and enablement efforts to build solutions using IaaS, PaaS, and SaaS capabilities.
• 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 and apply them to build new capabilities.

Qualifications: 

• Strong understanding of private and public cloud technologies, architectures, network designs, etc., along with working experience of one of the major public cloud service providers – AWS, GCP, or Azure. GCP experience preferred.
• Knowledge of GenAI services on GCP, AWS or Azure.
• Proven experience and understanding of working with AI & ML technologies.
• Understanding of platform architecture, high availability, fail-over, disaster recovery planning, and implementation considerations based on service level agreements. 
• Knowledge of business intelligence solutions such as Tableau, Qlik, etc. and analytics solutions such as H2O, Dataiku, Google Vertex AI, etc.
• Exposure to Big Data technologies like Hadoop, Spark, Hive, Impala, HBase, YARN, etc. using distribution from Cloudera or MapR. Cloudera experience preferred.
• Hands on work with one of the major programming languages Java, Python, Ruby, etc. 
• 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 new ideas to technical, non-technical, and business communities.  
• Experience managing vendor interactions for troubleshooting sessions, enhancement requests, and guiding vendor roadmaps to meet Citi standards and functional requirements.  
• Self-starter able to work with minimal supervision and in a global team of members with diverse skills and backgrounds.

Preferred Qualifications:

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

Education:

• Bachelor's degree required, 8 or more years of experience in Computer Science, Applications, or relevant technologies

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In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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