ML Data Engineer: Scale Pipelines & MLOps

PODS Enterprises, LLC; Clearwater (FL); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

PODS Enterprises, LLC is seeking a Data Engineer- Machine Learning to scale a modern data & AI stack and drive measurable business impact. You will bridge data engineering and ML engineering, building feature pipelines in Snowflake/Snowpark, Databricks, and productionizing batch/real-time inference with MLOps practices.

Work with ED&A to enrich data, optimize models, and ensure governance. You will innovate cost/performance, implement observability, and share best practices across analytics and

Qualifications

• Bachelor’s or Master’s in CS, Data/ML, or related field (or equivalent experience).
• 4+ years in data/ML engineering building production-grade pipelines with Python and SQL.
• Strong hands-on with Snowflake/Snowpark and Databricks; comfort with Tasks & Streams for orchestration.
• 2+ years of experience optimizing models: batch jobs and/or real-time APIs, containerized services, CI/CD, and monitoring.
• Solid understanding of data modeling and governance/lineage practices expected by ED&A.

Responsabilités

• Design, build, and operate feature pipelines that transform curated datasets into reusable, governed feature tables in Snowflake.
• Productionize ML models (batch and real-time) with reliable inference jobs/APIs, SLAs, and observability.
• Setup processes in Databricks and Snowflake/Snowpark to schedule, monitor, and auto-heal training/inference pipelines.
• Collaborate with our ED&A team to replicate operational data into Snowflake and enable advanced analytics & ML.
• Partner with Data Science to optimize models that grow customer base and revenue, improve CX, and optimize resources.
• Implement MLOps/LLMOps: experiment tracking, reproducible training, model/asset registry, safe rollout, and retraining triggers.
• Enforce data governance & security policies and contribute metadata, lineage, and definitions to the ED&A catalog.
• Optimize cost/performance across Snowflake/Snowpark and Databricks.
• Follow robust version control and DevOps practices.
• Create runbooks and documentation, and share best practices with analytics, data engineering, and product partners.

Connaissances

Python

SQL

ML engineering

Data engineering

Model optimization

Formation

Bachelor’s or Master’s in CS, Data/ML

Outils

Snowflake/Snowpark

Databricks

Tasks & Streams

Description du poste

PODS Enterprises, LLC is seeking a Data Engineer- Machine Learning to scale a modern data & AI stack and drive measurable business impact. You will bridge data engineering and ML engineering, building feature pipelines in Snowflake/Snowpark, Databricks, and productionizing batch/real-time inference with MLOps practices.

Work with ED&A to enrich data, optimize models, and ensure governance. You will innovate cost/performance, implement observability, and share best practices across analytics and