Fidelity Bank · 5 hours ago
Principal, AI/ML Engineer
Durham, NC
Full-time
Hybrid
Senior Level, Lead/Staff
3+ years expFidelity Bank is seeking a Principal, AI/ML Engineer to design, implement, and improve technical solutions for AI model deployment and data pipelines. The role involves deploying code and services to AWS, developing APIs, and performing deep data analysis to support customer personalization efforts using AI and Machine Learning techniques.
BankingBitcoinCustomer ServiceFinancial ServicesInsuranceWealth Management
Responsibilities
Automates manual and error prone processes using AI and ML techniques
Deploys ML models and operations
Deploys solutions using software engineering principles
Deploys solutions using Cloud technologies
Builds innovative and high business value AI powered solutions to improve customer experiences
Designs, builds, and automates complex and customized data pipelines with multiple ingress sources and consumers
Participates in architecture design discussions and implements application-level architecture
Develops comprehensive documentation for multiple applications or subsystems
Establishes full project life cycle plans for complex projects across multiple platforms
Advises on risk assessment and risk management strategies for projects
Plans and coordinates project schedules and assignments for multiple projects
Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives
Advises senior management on technical strategy
Mentors junior team members
Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives
Develops original and creative technical solutions to on-going development efforts
Qualification
Required
Bachelor's degree in Computer Science, Computer Information Systems, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal, AI/ML Engineer (or closely related occupation) performing requirement gathering, design, and development of Oracle EBS application programs in a financial services environment
Or, alternatively, Master's degree in Computer Science, Computer Information Systems, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal, AI/ML Engineer (or closely related occupation) performing requirement gathering, design, and development of Oracle EBS application programs in a financial services environment
Demonstrated Expertise (“DE”) deploying AI/ML applications in Cloud using Python; implementing highly available and high-security Cloud and big data solutions on Amazon Web Services (AWS) to build data pipelines and develop daily file processing jobs; deploying AWS infrastructure using Docker and Cloud formation templates; and monitoring application performance using Data Dog
DE extracting and building AI model features from structured data bases and semi-structed data sources using Snowflake and Python; developing AI model deployment pipelines using Airflow DAG, Directed Acyclic Graph, or Step Functions; and identifying model and feature drift using Snow SQL, Python, and AWS services (Sagemaker and model monitoring)
DE developing scalable and low latency (<100 millisecond) full stack applications and data solutions using Continuous Integration/Continuous Delivery (CI/CD) methodologies; and resolving production issues in the AI/ML project lifecycle and ensuring end-to-end delivery
DE analyzing, architecting, modeling, designing, and developing database applications, data warehouses, and operational data stores using ETL tools (Informatica, SQL, and PL/SQL) and Control M (for scheduling) within a UNIX environment; and designing and developing pseudo record keeping system
Company
Fidelity Bank
Fidelity Bank is a commercial bank providing services financial sercvices.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2018-12-17Acquired
2014-09-01Private Equity
Company data provided by crunchbase