MLOps Engineer
Redolent
Role: MLOps Engineer
Duration: 12+ Months
Location:Sunnyvale CA - hybrid
Rate: DOE Job Description: Key Responsibilities : Design and implement scalable model serving platforms for both batch and real-time inference Build model deployment pipelines with automated testing and validation Develop monitoring, logging, and alerting systems for ML services Create infrastructure for A/B testing and model experimentation Implement model versioning and rollback capabilities Design efficient scaling and load balancing strategies for ML workloads Collaborate with data scientists to optimize model serving performance
Technical Requirements :
7+ years of software engineering experience, with 3+ years in ML serving/infrastructure Strong expertise in container orchestration (Kubernetes) and cloud platforms
Experience with model serving technologies (TensorFlow Serving, Triton, KServe) Deep knowledge of distributed systems and microservices architecture
Proficiency in Java or Python and experience with high-performance serving
Strong background in monitoring and observability tools
Experience with CI/CD pipelines and GitOps workflows
Duration: 12+ Months
Location:Sunnyvale CA - hybrid
Rate: DOE Job Description: Key Responsibilities : Design and implement scalable model serving platforms for both batch and real-time inference Build model deployment pipelines with automated testing and validation Develop monitoring, logging, and alerting systems for ML services Create infrastructure for A/B testing and model experimentation Implement model versioning and rollback capabilities Design efficient scaling and load balancing strategies for ML workloads Collaborate with data scientists to optimize model serving performance
Technical Requirements :
7+ years of software engineering experience, with 3+ years in ML serving/infrastructure Strong expertise in container orchestration (Kubernetes) and cloud platforms
Experience with model serving technologies (TensorFlow Serving, Triton, KServe) Deep knowledge of distributed systems and microservices architecture
Proficiency in Java or Python and experience with high-performance serving
Strong background in monitoring and observability tools
Experience with CI/CD pipelines and GitOps workflows
Vacancy posted 2 days ago
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