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AI Architect
Job Location:
Job Location:
Fort Worth, TX - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
19 May 2026 (30+ days ago)
Posted:
Application Deadline:
16 August 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Hybrid Position - 3 Days/Week Onsite
Need Local Candidates
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
Job Description:
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
