What are the responsibilities and job description for the Gen AI Engineer position at ExecutivePlacements.com?
Job Description
Responsibilities:
Responsibilities:
- Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
- Ingest, transform, and curate structured and unstructured data from diverse sources for AI/ML consumption.
- Optimize data workflows for performance, reliability, and cost-efficiency.
- Enable data access and preparation for Azure AI services including Azure Machine Learning, Azure OpenAI, and Cognitive Services.
- Collaborate with data scientists and ML engineers to operationalize AI models using MLOps and GenAIOps practices.
- Support RAG (Retrieval-Augmented Generation) and other GenAI patterns through data engineering best practices.
- Implement CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions.
- Automate infrastructure provisioning using Terraform, Bicep, or Client templates.
- Monitor and troubleshoot data pipelines and cloud resources using Azure Monitor and Log Analytics.
- 8- 10 years of experience in data engineering, cloud platforms, and big data technologies.
- Strong proficiency in Azure services: Data Factory, Synapse, Data Lake, Azure SQL, Cosmos DB.
- Experience with Python, Spark, SQL, and distributed data processing.
- Familiarity with AI/ML workflows and tools such as Azure ML, MLflow, and OpenAI APIs.
- Understanding of data governance, security, and compliance in cloud environments.
Software Engineer III -Gen AI Inferencing
Bank of America -
Kennesaw, GA
Software Engineer III-Gen AI Inferencing
Bank of America -
Kennesaw, GA
Senior/Lead Gen AI/ML Engineer
Wissen Technology -
Alpharetta, GA