Lead the design and implementation of end-to-end data science projects, develop large-scale data pipelines, and automate deployment processes while leveraging AWS services.
We are looking for a MLOps Senior Data Scientist to lead the design and implementation of end-to-end data science projects. This role involves developing large-scale data pipelines, leveraging AWS Glue and PySpark, and utilizing Amazon SageMaker for machine learning model development and deployment. You will also be responsible for monitoring production models using AWS CloudWatch and automating deployment processes to enhance operational efficiency.Key Responsibilities
- Design and implement end-to-end data science solutions.
- Develop large-scale data pipelines using AWS Glue and PySpark.
- Build, train, and deploy ML models using Amazon SageMaker.
- Monitor and maintain production models with AWS CloudWatch.
- Automate deployment processes to streamline MLOps workflows.
- We are looking for candidates who have:
- Bachelor’s degree in Computer Science, Data Science, Statistics, or related fields.
- 3+ years of experience in data science roles.
- Proficiency in Python and PySpark.
- Hands-on experience with AWS Glue, SageMaker, and CloudWatch.
- Strong problem-solving and analytical skills.
- Experience with CI/CD pipelines for data workflows.
- Knowledge of MLOps best practices.
Location(s):
India RemoteTop Skills
Amazon Sagemaker
Aws Cloudwatch
Aws Glue
Ci/Cd
Pyspark
Python
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