AI/ML Engineer

Tasks

• Develop and deploy machine learning models using Python.
• Process data and engineer features for model training.
• Build predictive solutions using Scikit-learn, TensorFlow, or PyTorch.
• Explore LLMs, prompt engineering, and RAG applications.
• Evaluate models and optimize performance.
• Deploy and monitor AI/ML solutions on cloud platforms.
• Automate workflows and support production models.
• Collaborate with data engineers, developers, and business teams to deliver scalable AI solutions.

Requirements

• Python, SQL, and machine learning
• Scikit-learn, TensorFlow, or PyTorch
• Data preprocessing and feature engineering
• Model evaluation and deployment
• AWS, Azure, or GCP
• REST APIs and ML workflows
• Preferred: Generative AI, LLMs, and RAG
• Preferred: NLP and deep learning
• Preferred: MLflow and MLOps
• Preferred: Docker, Kubernetes, and vector databases
• US Citizens, Green Card, H1B, and EAD holders. C2C welcome.

Schedule

• 12 Months
• Contract
• Hybrid/Remote

How to apply

• Send your updated resume by email.

Location

• Austin, TX (Hybrid/Remote)