AI/ML Architect

Employer
Applied Information Sciences
Location
Chevy Chase, MD
Posted
Nov 28, 2021
Closes
Nov 30, 2021
Ref
229377116
Function
IT, IT Architect
Hours
Full Time
Intro: As an AI/ML Architect you will be part of an important consulting team providing capabilities to major financial institution at the early stages of their AI/ML journey. You will work closely with clients and other team members to solve an array of business problems with AI/ML solutions. As one of the early members of the team, you will play an important role through mentoring, guidance, ideation, solutioning, and finally delivering solutions. What You'll Be Doing: Work with clients to determine if AI/ML solutions fit business problems Determine high-level architecture and support estimates for solutions to business problem Lead proofs of concept to demonstrate possible solutions to clients Support creation and delivery of client presentations Work with data scientists to design and operationalize solutions Train, evaluate and deploy ML Models Connect data pipelines and model compute environments Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines Mentor various levels of staff in AI/ML technologies and techniques, for example developers wishing to make a shift to an AI/ML career Location and Travel Details: This is a remote position with occasional travel once COVID restrictions are lifted. Security Clearance and Citizenship Requirements: This position does not require a clearance Profile of Success: 4+ years of experience designing and implementing cloud solutions, primarily in Azure 2+ years of hands-on experience with AI/ML Familiar with deploying models written in Python web frameworks like Django, fast API, flask to enterprise production environments Basic knowledge about infrastructure management (Azure Resource Management), data pipelines, and ML Ops specifically in Azure Understanding of Azure Cognitive Services Have a consulting mentality and enjoy solving complex problems Have a passion for mentoring junior personnel Desirable Skills: Certifications or experience related to AI-900/ AI-100 Certifications or equivalent experience - AZ303 and AZ304 About AIS: AIS, Dedicated to Our People AIS employees can spend their entire career at AIS doing challenging, rewarding work and reach their desired level of achievement and responsibility. We offer the opportunity to move up, without the obligation to move out of a position where one excels. We are committed to our employee's success; however, they define it. It's our dedication to our employees that inspired our leadership to invest in our future and become partially employee-owned through an Employee Stock Ownership Program (ESOP). Our employees are our greatest strength, and we do all that we can to serve them. We invest in technology as early adopters, allowing us to create transformative and innovative solutions for our customers while exposing our team to cutting edge technology. We hire outstanding individuals who are committed to curiosity, passionate about emerging technology, and who are excited to find innovative solutions for the biggest tech challenges facing international brands and government agencies today. We Invest in Individuals Committed to Innovation AIS is seeking professionals of a certain character and level of excellence. People that we can learn from and that we can help grow to achieve their personal career goals. We are looking for: Smart people with a passion for technology Strong technical capabilities with a consultancy mindset Close involvement with local technical communities A willingness to think outside of the box to provide innovative solutions to clients Ability to solve challenging technical business problems Self-directed professionals Our Core Values Client Success Continued Learning and Technical Excellence Strong Client Relationships Citizenship and Community EEO Statement: Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status or any other basis covered by law. Employment decisions are based solely on qualifications merit, and business need.