Location: Dallas/Fort Worth, TX (Locals, F2F interview)
Top 3 Mandatory Skills and Experience:
-Proficient in Python
-Experience/knowledge on designing and implementing Gen AI applications- Hands-on experience with Machine Learning and AI pipeline build, model deployment, orchestration, monitoring, and optimization
Job Description:
Minimum Qualifications – Education & Prior Job Experience
Master or PhD degree with 5+ years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.)
Python proficiency (production-grade coding, modularization, testing, performance tuning)
Hands on experience with building Gen AI applications – prompt engineering, classifiers, knowledge bases, RAG solutions, LLMs as judges, etc.
Hands-on experience with ML/AI pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)
Depth of knowledge in statistical and machine learning techniques
Preferred qualifications – Education & Prior Job Experience
Experience with Azure ML, Databricks
Proficiency in SQL and working with data
Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)
Practical experience designing, building and deploying machine learning models
Domain knowledge in the airline industry
Experience working in a consulting role
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
5-7 years of experience required
Nice to Have Skills:
- Microsoft Dynamics
- Prompt Engineering
- Proficiency in SQL and working with data
-Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)
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