MLOps Engineer
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title:Machine Learning Engineer / MLOps Engineer (Short JD)
Qualifications:Bachelors or Masters in Computer Science Data Science or related field; 6 years in ML engineering DevOps or data engineering.
Experience:Deploying ML models in production familiarity with microservices CI/CD Docker Kubernetes and at least one cloud platform (AWS/Azure/GCP).
Skills:Python (mandatory) TensorFlow/PyTorch/Scikitlearn MLflow/Kubeflow/SageMaker Airflow/Prefect Jenkins/GitHub Actions SQL Spark Kafka (preferred).
Responsibilities:Model deployment building APIs and pipelines CI/CD for ML monitoring model performance and maintaining production ML systems.
Qualifications:Bachelors or Masters in Computer Science Data Science or related field; 6 years in ML engineering DevOps or data engineering.
Experience:Deploying ML models in production familiarity with microservices CI/CD Docker Kubernetes and at least one cloud platform (AWS/Azure/GCP).
Skills:Python (mandatory) TensorFlow/PyTorch/Scikitlearn MLflow/Kubeflow/SageMaker Airflow/Prefect Jenkins/GitHub Actions SQL Spark Kafka (preferred).
Responsibilities:Model deployment building APIs and pipelines CI/CD for ML monitoring model performance and maintaining production ML systems.
Required Skills:
ML
