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Senior Machine Learning Engineer
4 weeks ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our data team. As a key member of our team, you will be responsible for designing, constructing, and maintaining machine learning pipelines and services.
Key Responsibilities:
- Engineer and implement machine learning models into live environments.
- Construct and maintain robust ML training and inference pipelines using MLFlow and Kubeflow.
- Collaborate with the data science team to scale their algorithms effectively.
- Guarantee the performance, quality, and responsiveness of deployed models.
- Work alongside cross-functional teams to conceptualize, design, and launch new functionalities.
Requirements:
- A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
- At least 5 years of experience in crafting ML training and inference pipelines using MLFlow, Kubeflow on GCP.
- Profound knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture.
- Proficiency in programming languages such as Python, Java, Scala.
- Practical experience with machine learning algorithms, processes, tools, and platforms, including Python, TensorFlow, PyTorch, etc.
- Familiarity with cloud services (GCP, AWS, Azure).
We are looking for a talented individual who can contribute to the development of our data infrastructure and ensure the availability and reliability of data for analysis. Your expertise in data engineering will be instrumental in driving our organization's data-driven strategies and overall success.
