Enexus Global
Machine Learning Engineer
San Francisco, California, USA · third party, contract
Sponsorship not specifiedDetected 162 days ago
PythonAlgorithmsSQLAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningTensorFlowPyTorchscikit-learnSparkData AnalysisData EngineeringMLOpsResearchCommunicationProblem SolvingHadoop
Stay score
odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- We are looking for a talented Machine Learning Engineer to design, develop, and deploy ML models that drive business insights and automation.
Requirements
- The ideal candidate will have a solid foundation in ML techniques along with decent Data Engineering skills and hands-on experience with big data tools such as Spark and Hadoop to handle large-scale data processing.
Skills
- Experience with containerization and deployment (Docker, Kubernetes) Knowledge of MLOps practices and tools
Apply directly at Enexus Global →Create a free account for alerts like thisView Enexus Global immigration profile
This listing is sourced directly from Enexus Global's careers page and normalized into a canonical job model.