Data Science
TATA Consulting Services - Juno Beach, FL
posted 16 days ago
About the position
The position involves designing, developing, and deploying machine learning models using various AWS services. The role requires expertise in cloud-based data science, data processing, and integration, as well as model development and automation. The candidate will work with large-scale datasets and ensure that data and models are securely managed in the cloud, adhering to best practices and governance frameworks. Collaboration with cross-functional teams is essential to define project requirements and deliver impactful data science solutions. Continuous learning and innovation are also key components of this role, as the candidate will need to stay updated with the latest technologies and methodologies in the field.
Responsibilities
- Design, develop, and deploy machine learning models using AWS services like Amazon SageMaker, AWS Lambda, AWS Glue, and others.
- Utilize AWS tools such as AWS Redshift, AWS S3, AWS EMR, and AWS Glue to manage and process large-scale datasets.
- Build, train, and fine-tune machine learning models using AWS SageMaker or custom frameworks.
- Scale machine learning workflows and automate tasks using AWS technologies.
- Ensure models and data are securely managed in the cloud, following AWS security best practices and governance frameworks.
- Work closely with data engineers, DevOps, product teams, and business stakeholders to define project requirements.
- Conduct A/B testing, model validation, and experimentation to assess model performance and derive insights.
- Stay updated with the latest AWS technologies, machine learning algorithms, and best practices.
Requirements
- Experience with AWS services such as Amazon SageMaker, AWS Lambda, AWS Glue, AWS Redshift, AWS S3, and AWS EMR.
- Strong understanding of machine learning algorithms and frameworks.
- Proficiency in building and deploying machine learning models in a cloud environment.
- Experience in designing and maintaining data pipelines for data collection, transformation, and storage.
- Knowledge of cloud security best practices and governance frameworks.
