We are looking for a MLOpsSenior Data Scientist to lead the design and implementation of endtoend data science projects. This role involves developing largescale 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 endtoend data science solutions.
Develop largescale 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:
Bachelors degree in Computer Science Data Science Statistics or related fields.
3 years of experience in data science roles.
Proficiency in Python and PySpark.
Handson experience with AWS Glue SageMaker and CloudWatch.
Strong problemsolving and analytical skills.
Experience with CI/CD pipelines for data workflows.
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