Enexus Global
Machine Learning Engineer
San Francisco, California, USA · third party, contract
Sponsorship not specifiedDetected 71 days ago
PythonAlgorithmsSQLAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningTensorFlowPyTorchscikit-learnSparkData AnalysisData EngineeringMLOpsResearchCommunicationProblem SolvingHadoop
About the role
- Role - Machine Learning Engineer Location - San Francisco, CA(hybrid) Exp - 5+ W2 only Job Description: We are looking for a talented Machine Learning Engineer to design, develop, and deploy ML models that drive business insights and automation. 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. Key Responsibilities: Develop, test, and deploy machine learning models and algorithms Collaborate with data scientists and data engineers to optimize data workflows Build and maintain scalable data pipelines for training and inference using Spark,
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
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