Associate AI/Machine Learning Engineer

ERP Integrated Solutions, LLC • Long Beach, CA

4d

About The Position

We are hiring an Associate AI / Machine Learning Engineer (Proof of Concept) to design and deliver hands-on AI/ML experiments using MySQL HeatWave and HeatWave ML. This early-career role is ideal for new graduates or technologists with a foundation in SQL and programming, basic ML knowledge, and a strong desire to learn; you will work with real operational data and be mentored by internal engineers and partners (Oracle, Domo) to produce reproducible, demo-ready POCs that generate actionable predictions and insights.

Requirements

• Experience: 0–2 years of professional experience or equivalent hands-on projects, internships, or academic work.
• Machine Learning Fundamentals: Practical or academic exposure to supervised learning and time series forecasting; familiarity with basic model evaluation metrics.
• Databases: Strong SQL skills and comfort with relational data concepts.
• Programming: Proficiency in Python for data workflows; familiarity with PHP is a plus.
• Mindset: Demonstrated curiosity, ability to learn quickly, and willingness to seek mentorship and iterate.
• Communication: Ability to document technical work clearly and present findings to both technical and nontechnical stakeholders.
• Independence: Able to run experiments, troubleshoot issues, and deliver a demo-ready POC with guidance from senior engineers.

Nice To Haves

• HeatWave ML: Prior exposure to HeatWave ML or other in-database analytics platforms.
• Domain Experience: Background in SaaS, logistics, operational analytics, or enterprise systems (SAP, ERP, WMS).
• Cloud Familiarity: Experience with OCI, AWS, or GCP for data pipelines and deployment planning.
• POC Operationalization: Experience or coursework that demonstrates understanding of moving POCs toward production, including cost modeling and monitoring.
• Security Awareness: Basic understanding of data security, access controls, and compliance considerations for operational data.

Responsibilities

• POC Design and Delivery Build an end-to-end ML proof of concept in MySQL HeatWave covering data ingestion, feature engineering, model training, evaluation, and inference.
• In-Database Modeling Leverage HeatWave ML where appropriate and evaluate tradeoffs between in-database and external model workflows.
• Integration and Automation Develop lightweight Python and/or PHP scripts or services to automate data flows, run experiments, and serve inference results.
• Feature Engineering and Evaluation Explore datasets, create features, compare model approaches for regression, classification, and forecasting, and produce clear evaluation metrics.
• Partner Collaboration Work closely with Oracle, Domo, and internal subject matter experts to absorb best practices and translate them into repeatable implementations.
• Documentation and Communication Produce architecture diagrams, assumptions, limitations, evaluation results, and an executive summary that communicates business impact.
• Productionization Roadmap Deliver a pragmatic recommendation for next steps including cost estimates, scalability considerations, security and compliance risks, and a prioritized implementation plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees