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Expert Machine Learning Data Engineer
2 weeks ago
The Lead Data Engineer will be responsible for designing, building, and maintaining data pipelines to support machine learning models. They will collaborate closely with the data science team to develop automated workflows for seamless integration of machine learning models into production.
To be successful in this role, the ideal candidate should have experience with data engineering frameworks such as Apache Beam, Flink, or Spark. Proficiency in programming languages like Python, Java, or Scala is also necessary. Familiarity with cloud services and containerization technologies like Docker and Kubernetes is a plus.
The successful candidate should have a strong background in computer science, engineering, or a related field, with at least 4 years of experience in data engineering, machine learning, or MLOps. Excellent problem-solving skills, analytical thinking, and effective communication with cross-functional teams are essential.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines
- Develop and implement automated workflows for seamless integration of machine learning models
- Ensure proper data pipeline processes are in place to support model training and inference
- Implement best practices related to data security, privacy, and compliance with regulations
- Produce architecture and design artifacts for complex applications