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Position: Senior Machine Learning Operations Engineer
Institution: LigaData
Location: United States
Duties: As a Machine Learning Operations (MLOps) Engineer at Ligadata, you will play a key role in developing, training, monitoring & refining ML models as well as developing and maintaining the infrastructure and processes necessary for seamless deployment and scaling of machine learning models. You will collaborate with cross-functional teams to ensure the reliability, efficiency, and performance of our machine learning models & systems
Requirements: Bachelor's/Master's in Computer Science, Data Science, or related field; Proven ML model building, training, and MLOps experience; Proficiency in diverse ML models, LLMs, GenAI, and Python automation; Familiarity with Java, Scala, and containerization tools (Docker, Kubernetes)
   
Text: Senior Machine Learning Operations Engineer As a Machine Learning Operations (MLOps) Engineer at Ligadata, you will play a key role in developing, training, monitoring & refining ML models as well as developing and maintaining the infrastructure and processes necessary for seamless deployment and scaling of machine learning models. You will collaborate with cross-functional teams to ensure the reliability, efficiency, and performance of our machine learning models & systems Bachelor's/Master's in Computer Science, Data Science, or related field; Proven ML model building, training, and MLOps experience; Proficiency in diverse ML models, LLMs, GenAI, and Python automation; Familiarity with Java, Scala, and containerization tools (Docker, Kubernetes)
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