CareerPlan

Machine Learning Engineer

Austin, TX, USFull-time2026-11-07 → 2026-11-09
HybridNo visa sponsorship

Core

Design and implement machine learning algorithms and models to drive innovation, streamline processes, and solve complex problems for digital banking and lending solutions.

Role type

Machine Learning Engineer

Builds

Scalable machine learning pipelines and systems integrating AI solutions into production environments

Domain

Fintech / Digital Banking

Deliverable

production ML models

Required skills

Python, R, Java, TensorFlow, PyTorch, scikit-learn, statistics, optimization, probability theory, experimental methodologies, cloud platforms, scalable computing

Preferred skills

N/A

Technologies

TensorFlow, PyTorch, scikit-learn, Python, R, Java

Responsibilities

Design and implement machine learning algorithms and models; Conduct research and experimentation to advance machine learning capabilities; Collaborate with cross-functional teams to integrate AI solutions into production environments; Analyze large datasets to extract meaningful insights; Develop scalable machine learning pipelines and systems; Ensure the quality and performance of AI systems through testing and validation

Seniority

Mid-level (2-5 years experience)