Cloud Architect - Pittsburgh, United States - Indotronix International Corporation

Description

Job Title: AWS Solution Architect

Location: Hybrid – 3 Days a week in office

Duration: 08 Months Contract To Hire

Only on W2

Job description:

Impact/Function this role has within the bank/LOB: Mitigating Risk

Team Background and Preferred Candidate History: Technology Based Background

Candidate preferred industry background: Tech

Key responsibilities:

• *Be able to design, implement, and operate a framework for Machine Learning Operations (MLOps) on cloud (AWS)
• Build MLOps pipelines orchestration on Amazon Sage Maker and/ or on-prem leveraging Client's DevOps tools and OCP platforms
• *Will also need to support on TND- URSIT related platform stability, security and reliability
• AML Modeling platform build and integration to FRAML ecosystem + designing and implementing CI-CD practices across AAH- AME model and application ecosystem.
• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
• Design, develop, integrate, and deploy tools for Data Science and ML Research, such as, Model Monitoring, Model Governance, Model Deployment, Data Management, Feature Engineering, among others.
• Data science models testing, validation and tests automation
• Communicate with a team of data scientists, data engineers and architect, document the processes
• Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings.

Must have technical skills/experience:

• Ability to build MLOps pipelines on AWS Sage Maker
• Support on AML Model ecosystem, FRAML
• Hands on DevOps experience – CI/CD in Jenkins , Bitbucket, Kubernetes ,OpenShift.
• Agile
• Python/Java
• TensorFlow
• AWS
• Node.JS

Flex Skills:

• Support engineering organizations in troubleshooting or addressing issues with applications and dev/test environments
• Relevant AWS/ Cloud Computing/ ML certifications
• Ability to understand several testing techniques (e.g. performance, unit, integration, regression, automated), their strengths and weakness, and ability to use them to best effect - including tracking and addressing of any discovered issues.
• Ability to use tools (such as IDE, debugger, build tools, source control, profilers, system administration/Unix tools) to assist with daily tasks
• Masters in Computer Science / Computer Engineering or related subjects with 6 years of work experience + relevant AWS/ Cloud Computing/ ML certifications

Soft skills:

• Excellent communication, Ability to take a project from scoping the requirements and building solutions

• Work with developers to design specific testing strategies for features being developed and automate them

Education: Bachelors in Computer Science / Computer Engineering or related required-

Years of experience: 3-5

Role Differentiator: What is different about this specific role compared to other hiring with the same skill set?

Large cross-functional teams, continually focused on Innovation and fighting crime, especially in the space of Anti Money laundering, Fraud prevention. Exploring pilots in new models, AI/ ML/ genAI use cases

Interview Process:

2nd round 30 min (HM to finalize)