Artificial Intelligence Engineer

Senior AI/ML Engineer

Austin, TX - Hybrid

$125,000 - $175,000

Our client has reached Series B Funding. If you’re passionate about building impactful AI products, writing clean Python code, and working at the forefront of AI/ML innovation, this is the role for you.

What You’ll Do:

Design, build, and deploy production-grade AI/ML systems with Python.
Implement scalable ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
Develop and optimize deep learning models for real-world tasks (NLP, computer vision, recommender systems, etc.).
Collaborate closely with product, engineering, and data teams to translate business problems into ML solutions.
Conduct experiments, A/B tests, and rigorous evaluations to improve model performance.
Apply best practices in MLOps: model versioning, CI/CD pipelines, monitoring, and logging.
Mentor junior engineers as we grow and contribute to the growth of an AI-first engineering culture.

What We’re Looking For:

Deep Python expertise – you live and breathe Python for ML and engineering tasks.
Solid experience with ML/AI frameworks: PyTorch, TensorFlow, scikit-learn, Hugging Face, or similar.
Experience with data engineering and pipelines: Pandas, NumPy, SQL, Spark, or Dask.
Familiarity with cloud platforms (AWS, Azure, GCP) for model deployment and data processing.
Strong understanding of ML concepts: supervised/unsupervised learning, deep learning, feature engineering, and model evaluation.
Experience with model serving and deployment (FastAPI, Flask, TorchServe, or cloud-native ML services).
Knowledge of version control (Git) and collaborative software development best practices.
Passion for writing clean, maintainable, and scalable code.

Bonus Points: