AI Engineer

Overview

Remote
$40 - $50
Contract - W2
Contract - Independent

Skills

Python
AWS
Azure
BI Tools
ETL/ELT
Agile

Job Details

Job Responsibilities

- Design, develop, and optimize data pipelines (ETL/ELT) to support scalable data architectures.

- Build, train, and deploy machine learning and generative AI models for diverse business use cases.

- Conduct statistical analysis, data exploration, and feature engineering to improve model performance.

- Develop interactive dashboards and reports using tools such as Power BI and Tableau.

- Collaborate with business stakeholders to translate complex data findings into actionable insights.

- Automate workflows to reduce manual effort and improve efficiency across projects.

- Contribute to practice-level knowledge sharing, frameworks, and accelerators.

- Stay current with advancements in cloud-based data solutions, ML/AI, and generative AI practices.

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Mandatory Skills

- Strong experience in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL (Redshift, Aurora, RDS, Oracle).

- Proven knowledge of cloud ecosystems (AWS, Azure) including services like SageMaker, Glue, Athena, Synapse Analytics, and Data Factory.

- Expertise in data modeling, statistical analysis, applied machine learning, and generative AI.

- Experience with BI tools (Power BI, Tableau) for KPI reporting and visualization.

- Strong understanding of ETL/ELT workflows and data warehousing concepts.

- Ability to work in Agile environments and collaborate effectively with cross-functional teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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