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2 weeks ago
Job Title: Data Science Specialist
We are seeking a skilled professional to spearhead the development of machine learning pipelines. The ideal candidate will have expertise in Python, experience with AWS SageMaker, and a comprehensive understanding of machine learning lifecycle.
Key Responsibilities:
- Design and deploy efficient machine learning workflows utilizing real-time, batch, and event-triggered architectures.
- Develop APIs using FastAPI, Flask, or Django frameworks.
- Collaborate with various machine learning tools such as scikit-learn, PyTorch, xgboost, lightgbm, and mlflow.
- Implement Continuous Integration/Continuous Deployment (CI/CD) pipelines specifically for ML workflows using Bitbucket, Jenkins, Nexus, and Autosys for scheduling.
- Experience with Extract Transform Load (ETL) processes for ML pipelines using PySpark, Kafka, and AWS EMR Serverless is an asset.
- Auditable skills in H2O.ai, containerization using Docker, and orchestration using Kubernetes would be beneficial.
Benefits:
- Opportunity to work on complex projects and enhance technical expertise.
- Chance to collaborate with experienced professionals in the field.
- Flexibility to design and implement innovative solutions.
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