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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 RemoteWhat you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
