Senior ML Engineer

Tasks

• Own end-to-end delivery of production AI/ML solutions, from problem framing and data analysis through modeling, deployment, monitoring, and retraining.
• Build, train, and validate models (supervised, unsupervised, NLP, retrieval, document intelligence, computer vision, GenAI) using approved data and platforms.
• Establish rigorous evaluation, explainability, bias assessment, and model governance practices suited to a regulated environment.
• Implement MLOps for versioning, CI/CD, deployment, observability, and drift detection.
• Develop secure APIs and integration patterns, partnering with architecture, engineering, data, risk, and cybersecurity teams.
• The contractor will also mentor existing engineers to strengthen the team's AI/ML capability.

Requirements

• Skills: AI/ML, GenAI, NLP, GCP ecosystem, Vector DB, Knowledge Graphs and possible exp in SLM (Small Language Model).
• Bachelor's or advanced degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 8+ years in software engineering, data science, or ML, including at least one complete AI/ML lifecycle delivered to production.
• Strong foundation in statistics, probability, linear algebra, optimization, and model evaluation.

Schedule

• Contract
• 100% Onsite - No flexibility

How to apply

• Share resume by email or phone.

Location

• Austin, TX