Artificial Intelligence/Machine Learning

AI/ML EngineerAustin TX 78744Minimum Years of Experience, Skills, and QualificationsCore Technical (Foundational):" Python 1-2 years of hands-on experience through professional work, internships, or substantial projects" AI/ML Fundamentals Experience building and evaluating ML models beyond coursework (projects, internships, early production exposure)" Cloud Platforms Familiarity with at least one major cloud platform (AWS, Azure, GCP, or OCI); production depth not required" DevOps Basics Introductory experience with Docker and basic CI/CD concepts" Databases Basic experience with SQL and exposure to NoSQL or vector databases" Scripting Working knowledge of Bash or PowerShell for simple automationML Domains (Experience or strong interest in 1-2 areas):" NLP/LLMs: Coursework or project experience with transformers, prompt engineering, or LLM applications" Time Series: Introductory experience with forecasting or anomaly detection" Recommender Systems: Academic or project exposure to personalization or ranking models" MLOps Tools: Familiarity with MLflow, Airflow, or similar tools is a plus but not requiredPreferred Skills and QualificationsExposure to CI/CD tools such as GitHub Actions or Azure DevOpsBasic computer vision experience through projects or labsFamiliarity with PyTorch or TensorFlowInterest in edge deployment, streaming data, or real-time ML systemsOpen-source contributions, coursework projects, or technical blogsOur Stack:Core: Python | PyTorch/TensorFlow | Scikit-learn | FastAPI/Flask | Git | Bash/PowerShellML/AI Tools: MLflow | Airflow/Kubeflow | Azure AI | AWS SageMaker/Bedrock | GCP Vertex AI | OCI AI ServicesInfrastructure: Docker | Kubernetes | AWS/Azure/GCP/OCI | PostgreSQL | Azure DevOps | GitHub Actions