Data Scientist 3

We are looking for an experienced AWS Data Scientist to drive data-driven innovation through advanced analytics, Machine Learning, Generative AI, and AWS Cloud technologies. The ideal candidate should have strong experience in AWS data architecture, ML model development and deployment, MLOps, and modern AI technologies.

Responsibilities:

• Design and implement scalable AWS Data Lake and data processing architectures.
• Develop and optimise solutions using Amazon Redshift.
• Build data processing and analytics solutions using Python and SQL.
• Work with AWS services including S3, Lambda, Athena, Glue, Step Functions, and CloudWatch.
• Develop, deploy, and monitor Machine Learning models on AWS.
• Implement MLOps practices for model deployment, monitoring, and lifecycle management.
• Work with Amazon SageMaker, Bedrock, and Redshift for AI and ML solutions.
• Develop Generative AI and LLM-based applications using RAG and related techniques.
• Collaborate with data engineering, software engineering, and business teams to deliver data-driven solutions.
• Maintain code repositories and infrastructure using GitHub and Terraform.
• Ensure solutions are scalable, secure, reliable, and aligned with business requirements.

Requirements:

• 10+ years of relevant experience in Data Science, Machine Learning, or related fields.
• Strong experience with AWS Data Lake Architecture.
• Strong knowledge of Amazon Redshift Architecture.
• Proficiency in Python and SQL.
• Hands-on experience with AWS S3, Lambda, Athena, Glue, Step Functions, and CloudWatch.
• Experience with GitHub and Terraform.
• Strong understanding of MLOps and Machine Learning model deployment.
• Hands-on experience with SageMaker, Bedrock, and Redshift.
• Experience with Generative AI, LLMs, and RAG.
• Strong analytical and problem-solving skills.

Preferred Skills:

• Experience with Docker and Kubernetes.
• Knowledge of CI/CD pipelines.
• Experience with Power BI or Amazon QuickSight.
• Exposure to cloud-based data and AI solutions.

Skills

AWS Bedrock, MLOps, Python, SageMaker