Role: AI Architect
Location: Fort Worth, TX, 76195
Duration: Contract
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
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.
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 skill sets
Thanks
Saiteja