AI Architect

Position: AI Architect

Location: Fort Worth, TX (Hybrid – 3 days onsite)

Duration: 6 Months+

Job Description:

• Master’s/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.

• 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

• Must Have Skills: (with MS/Phd) Python, Machine Learning, Deep Learning , ML design and deployment