What are the responsibilities and job description for the Data Scientist position at Aptino, Inc.?
Summary – AWS Data Scientist / ML Engineer
Core Responsibilities:
- Design and implement end-to-end Machine Learning pipelines using AWS services:
- Amazon SageMaker
- AWS Glue
- AWS Lambda
- Amazon S3
- Perform:
- Data collection
- Data cleaning
- Feature engineering
- Build predictive models and statistical solutions using:
- Python
- R
- Similar ML/Data Science tools
- Deploy, monitor, and optimize ML models using AWS MLOps best practices
- Collaborate with Data Engineering teams to build and maintain ETL pipelines
- Use AWS analytics tools for reporting and visualization:
- Athena
- Redshift
- QuickSight
- EMR
- Convert business requirements into AI/ML-driven insights and solutions
- Work on AI/ML use cases including:
- Forecasting
- Anomaly Detection
- NLP
- Computer Vision
- Recommendation Systems
- Ensure data security, governance, and compliance standards within AWS environments
Required Skill Set:
- AWS Cloud & ML ecosystem expertise
- Machine Learning & Data Science experience
- Strong Python/R programming
- ETL and Data Engineering understanding
- MLOps & model deployment experience
- Analytical and stakeholder communication skills
Thanks and Regards,
Johnson S – Sr.Technical Recruiter
Aptino, Inc.
8176239800
Johnson.sakare@aptino.com
www.aptino.com