Role overview
A technology organization in Austin is seeking an Entry-Level AI/ML Engineer with a U.S.-completed Master’s degree. This role is designed for strong technical graduates who want to work on real-world machine learning applications, data engineering pipelines, and emerging AI solutions. This position offers direct exposure to production-oriented ML systems, infrastructure, and model experimentation.
*Key Responsibilities
Machine Learning & Modeling**
- Assist in training, evaluating, and tuning supervised and unsupervised ML models.
- Develop ML experiments using Python, Scikit-learn, PyTorch, TensorFlow, or similar frameworks.
- Conduct hyperparameter optimization using grid search, random search, or early stopping methods.
- Implement baseline models and compare against advanced architectures.
- Participate in building feature engineering pipelines and transformation logic.
What we're looking for
- Experience with LLM APIs or NLP techniques.
- Exposure to cloud ML tools (AWS Sagemaker, GCP Vertex, or Azure ML).
- Understanding of Git-based workflows.
- Experience with SQL or NoSQL databases.
- Exposure to MLOps concepts: Docker, pipelines, model monitoring.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Ai Engineer Machine Learning Pytorch Tensorflow Data Engineer