
Machine Learning Specialist
14 hours ago
We are seeking a highly skilled Machine Learning Professional to leverage expertise in designing and developing machine learning workflows using Python.
- Utilize AWS SageMaker for deployment of ML pipelines and models, leveraging Sagemaker pipelines, Sagemaker mlflow, and Sagemaker Feature Store.
- Develop APIs using FastAPI, Flask, or Django with 3+ years of experience in API development.
- Apply knowledge of popular ML frameworks and tools such as scikit-learn, PyTorch, xgboost, lightgbm, and mlflow, with 3+ years of experience.
- Understand the machine learning lifecycle, including model development, training, validation, deployment, and monitoring.
- Experience with CI/CD pipelines specifically for ML workflows, using bitbucket, Jenkins, Nexus, and AUTOSYS for scheduling.
- Work with ETL processes for ML pipelines using PySpark, Kafka, and AWS EMR Serverless.
Required Skills and Qualifications:
- 5+ years of Python experience for scripting ML workflows.
- 4+ years of experience in using AWS SageMaker for deployment of ML pipelines and ML Models.
- 3+ years of development of APIs using FastAPI, Flask, or Django.
- 3+ year of experience in ML frameworks & tools like scikit-learn, PyTorch, xgboost, lightgbm, mlflow.
- Solid understanding of ML lifecycle: model development, training, validation, deployment, and monitoring.
- Experience with ETL process for ML pipelines with PySpark, Kafka, AWS EMR Serverless.
Benefits:
The ideal candidate will have a strong background in machine learning and experience working with various tools and technologies. This is a great opportunity to grow professionally and make a significant impact on our organization.
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