{"schemaVersion":"jobsearcher.job.v1","id":"e431566056ddea6d28189f89","url":"https://jobsearcher.com/jobs/e431566056ddea6d28189f89","canonicalUrl":"https://jobsearcher.com/jobs/e431566056ddea6d28189f89","title":"Artificial Intelligence/Machine Learning","description":"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","company":"Smart Ims","rawCompany":"smart ims","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-05-21T03:20:09.340Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Artificial Intelligence/Machine Learning","description":"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","datePosted":"2026-05-21T03:20:09.340Z","dateModified":"2026-05-21T03:20:09.340Z","hiringOrganization":{"@type":"Organization","name":"Smart Ims","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e431566056ddea6d28189f89"},"url":"https://jobsearcher.com/jobs/e431566056ddea6d28189f89"}}