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Machine Learning Engineer
2 months ago
We are seeking a highly skilled Machine Learning Engineer to join our team at Centraprise. As a key member of our data science team, you will be responsible for designing, developing, and deploying machine learning models and systems that drive business growth and innovation.
Key Responsibilities- Design and Develop Machine Learning Systems: Collaborate with cross-functional teams to design and develop machine learning systems that meet business requirements.
- Automate Data Pipelines: Automate end-to-end data pipelines using structural understanding of data products and implement data quality checks.
- Deploy and Maintain ML Pipelines: Deploy and maintain machine learning pipelines into existing cloud resources, ensuring scalability and reliability.
- Work with Data-Related Technical Issues: Collaborate with team members to resolve data-related technical issues and support data product needs.
- Evaluate and Improve ML Systems: Work with team members to evaluate and improve existing machine learning systems and models.
- Strong Background in Computer Science or Engineering: Minimum of 2 years of professional experience in a quantitative field.
- Programming Skills: Strong Python/Java programming skills and experience in implementing data pipelines using Python.
- Cloud Computing and Workflow Scheduling: Experience with workflow scheduling/orchestration such as Kubernetes, Airflow, or Oozie.
- ETL Experience: Experience with Extract, Transform, Load (ETL) using Spark, Kafka, Hadoop, or similar technologies.
- Query APIs and Unix-Based CLI: Experience with query APIs using JSON, ProtocolBuffers, or XML and Unix-based command line interface and Bash scripts.
- Computer Vision or NLP: Experience with computer vision or natural language processing a plus.
- Database Development: Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hive a plus.
- Data Visualization or Web Development: Data visualization or web development skills a plus.