Negotiable
Undetermined
Hybrid
Remote or Houston, Texas
Summary: The role of AI/ML Engineer at Maddisoft involves building and deploying AI/ML solutions using Databricks and SAP Business Data Cloud (BDC). The position focuses on transforming SAP data into scalable AI-driven insights for enterprise analytics and finance applications. Candidates are expected to have significant experience in AI/ML, data engineering, and analytics engineering. This is a hybrid position based in Houston, TX.
Key Responsibilities:
- Design, build, and deploy AI/ML models using Databricks
- Develop data pipelines and feature engineering using Spark / Delta Lake
- Preferred Consume SAP data via SAP Business Data Cloud (BDC) and SAP Datasphere
- Enable governed, zero-copy data sharing between SAP and Databricks
- Productionize models using MLflow, model serving, and monitoring
- Partner with Finance, Analytics, and IT teams on AI use cases
- Ensure compliance with data governance, security, and enterprise standards
Key Skills:
- 5+ years in AI/ML, Data Engineering, or Analytics Engineering
- Hands-on experience with Databricks (Spark, Delta Lake, MLflow)
- Strong Python and SQL skills
- Preferred experience working with SAP data (S/4HANA, CDS, Datasphere, or BDC)
- Experience building production-grade data and ML pipelines
Salary (Rate): undetermined
City: Houston
Country: United States
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Maddisoft has the following immediate opportunity, let us know if you or someone you know would be interested. Send in your resume ASAP. - U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Send in resume along with LinkedIn profile without which applications will not be considered. Call us NOW! ***Visa sponsorship is available for this position.
Job Title: AI/ML Engineer - (BDC - Databricks)
Location: Houston, TX (Hybrid)
Role Overview
We are looking for an AI Engineer to build and deploy AI/ML solutions using Databricks and Preferred SAP Business Data Cloud (BDC). This role focuses on transforming trusted SAP data into scalable AI-driven insights for enterprise analytics and finance use cases.
Key Responsibilities
- Design, build, and deploy AI/ML models using Databricks
- Develop data pipelines and feature engineering using Spark / Delta Lake
- Preferred Consume SAP data via SAP Business Data Cloud (BDC) and SAP Datasphere
- Enable governed, zero-copy data sharing between SAP and Databricks
- Productionize models using MLflow, model serving, and monitoring
- Partner with Finance, Analytics, and IT teams on AI use cases
- Ensure compliance with data governance, security, and enterprise standards
Required Qualifications
- 5+ years in AI/ML, Data Engineering, or Analytics Engineering
- Hands-on experience with Databricks (Spark, Delta Lake, MLflow)
- Strong Python and SQL skills
- Preferred experience working with SAP data (S/4HANA, CDS, Datasphere, or BDC)
- Experience building production-grade data and ML pipelines
Preferred Qualifications
- Experience with Generative AI / LLMs on Databricks
- Preferred Knowledge of SAP Business Data Cloud (BDC) and Delta Sharing
- Cloud experience (Google Cloud Platform, Azure, or AWS)
- Finance or FP&A analytics experience is a plus