T
AI Summary
Design and implement scalable data pipelines using AWS services. Build end-to-end AI models and agents from data preprocessing through deployment and monitoring. Lead technical delivery with client stakeholders and mentor engineering teams.
Key Highlights
Design scalable data pipelines
Build end-to-end AI models
Lead technical delivery
Key Responsibilities
Design scalable data pipelines using AWS services
Build end-to-end AI models and agents from data preprocessing through deployment and monitoring
Implement large-scale data processing solutions using platforms such as Databricks and Snowflake
Establish CI/CD pipelines for data systems within DevOps environments
Lead technical delivery with client stakeholders and mentor engineering teams
Technical Skills Required
Benefits & Perks
$75-95/hr
100% remote - EST hours
Nice to Have
AWS Certified Solutions Architect
Databricks certification
AWS SageMaker experience
Job Description
Duration: 6+ month contract
Compensation: $75-95/hr
Location: 100% remote - EST hours
Key Responsibilities
- Design scalable data pipelines using AWS services including S3, Glue, Lambda, Kinesis, Redshift, Step Functions
- Build end-to-end AI models and agents from data preprocessing through deployment and monitoring
- Implement large-scale data processing solutions using platforms such as Databricks and Snowflake
- Apply Generative AI architectures including large language model integration and retrieval-augmented generation
- Establish CI/CD pipelines for data systems within DevOps environments
- Lead technical delivery with client stakeholders and mentor engineering teams
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Requirements
- 7+ years data engineering experience
- Experience with Amazon Web Services (AWS) data architecture
- Experience building AI models and GenAI architectures
- Skilled in Python programming
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Preferred Skills
- AWS Certified Solutions Architect or equivalent certification
- Databricks certification
- AWS SageMaker experience
Airflow; AWS (Glue, Kinesis, Lambda, Redshift, S3, Step Functions); CI/CD pipelines; Databricks; DevOps practices; Generative AI (LLMs, RAG); Python; Snowflake; SQL; Spark
Job ID: 26-00412
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