AI Architect
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Job Location:
Fort Worth, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
10 years of experience.
Minimum Qualifications Education & Prior Job Experience
Masters/PhD degree with 3 years of experience in quantitative discipline (e.g. Data Science
Machine Learning Engineer Computer Science Applied Mathematics Statistics etc.)
Experience with Python programming language
Practical experience with data extraction cleaning and analysis
Depth of knowledge in statistical and machine learning techniques
Preferred qualifications Education & Prior Job Experience
10 years of experience in a technical professional environment in addition to the minimum
requirements
Strong understanding and hands on -building traditional ML model (classification Regression
and all varities of Supervised Models)
* Strong hands on Deep Learning Algorithm and implementations
* Advance AIML knowledge
* Must have deployed the end to end Machine Learning pipeline.
Practical experience designing building and deploying machine learning models
Experience in using cloud platforms and parallel processing to scale model development/
deployment (Databricks Azure)
Domain knowledge in the airline industry
Experience working in a consulting role
-Experience with SQL and data visualization (Tableau PowerBI)
Platform mindset reuse - building shared components/templates/patterns used by multiple
teams (not one off implementations).
Operational readiness for AI - monitoring/telemetry production maintenance practices and
reliability-focused troubleshooting.
AI Platform architecture API design distributed systems reliability engineering- building
reusable platform components used by multiple teams (not one off apps)
Experience implementing AI quality/evaluation practices and AI telemetry/monitoring
foundations.
Skills Licenses & Certifications
Ability to effectively communicate both verbally and written with all levels within the
organization
Demonstrated motivation and aptitude for logical analysis problem identification and problem
solving
Ability to view data from different angles to employ feature engineering techniques to better
represent models
Ability to work on a diverse team with diverse skillsets
Top 4 Must Have Skills: (with MS/Phd)
Python Machine Learning Deep Learning ML design and deployment
Nice to Have Skills: Databricks Azure ML SQL Tableau/PowerBI
Describe a great candidate that you are looking for and what skills and experience they will have:
Experienced data scientist with ML/DL model training deployment and evaluation. Advanced in
Python and Databricks. Good communication and collaboration. Consulting background is a plus.
Experienced data scientist with ML/DL model training deployment and evaluation. Advanced in
Python and Databricks. Good communication and collaboration. Consulting background is a plus.
What is the team environment and structure like:
Centralized ML team supporting 7 business units. All team members are data scientist levels
from senior to principal level. Team culture is friendly supportive and collaborative. Focus on
quality innovation and revenue impact.
How will the resource(s) fit into your team:
The resource will embed within the centralized ML team and support active Loyalty and
Marketplace projects. They will independently execute model development validation and
deployment tasks while collaborating with peer data scientists data engineers and product
partners.
