Description

Design and implement machine learning models and data analytics solutions on AWS.

This role is on-site.

Responsibilities

• Collect, clean, and preprocess large datasets for analysis.
• Build and optimize machine learning models for business applications.
• Deploy models and implement data pipelines using AWS services including S3, EC2, RDS, Redshift, SageMaker, Bedrock, Glue, and Lambda.
• Collaborate with data engineers, software developers, and business teams to deliver insights.
• Enhance process efficiency by staying updated on data science trends.

Required Skills

• 5+ years of experience in data science roles.
• Hands-on expertise with AWS services: Bedrock, SageMaker, Redshift, EMR, Kinesis, and Glue.
• Proficiency in SQL, Pandas, NumPy, and Spark for data manipulation.
• Experience with ETL processes, data warehousing, and data governance.
• Working knowledge of AWS infrastructure including S3, EC2, and RDS.
• Strong problem-solving and communication skills.
• Ability to work independently and manage multiple priorities.

Preferred Skills

• Knowledge of Microsoft Azure.
• AWS Certified AI Practitioner or Machine Learning Engineer certification.

Key Skills

Education

Any Graduate