Data & ML Engineer – Lakehouse & MLOps

Next Ventures; Fort Lauderdale (FL); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Next Ventures is seeking a Data & ML Engineer to design, build, and scale a next-generation data platform and ML ecosystem. You will work closely with the VP, Machine Learning to architect the cloud lakehouse and drive hands-on deployment of scalable models and data pipelines powering BI, personalization, and predictive analytics.

The role offers significant growth and the chance to lead AI initiatives as the company scales.

Qualifications

• 5+ years in data engineering or ML engineering.
• Experience building and scaling data platforms.
• Experience deploying ML models in production with MLOps.
• Familiarity with MLOps platforms such as Azure ML, MLflow, Kubeflow, or Databricks.
• Solid understanding of data modeling, ELT/ETL patterns, streaming, and orchestration (ADF, Airflow, Fabric Data Pipelines).

Responsibilities

• Architect and build the enterprise lakehouse across Microsoft Fabric, Snowflake, Databricks, or AWS.
• Ensure data governance, quality, and security throughout the architecture.
• Partner with leadership to translate business challenges into data/BI or AI/ML solutions.
• Contribute to end-to-end development of ML models and supporting use cases across retail and eCommerce.
• Build reusable MLOps pipelines.

Skills

Data engineering

ML engineering

Data platform scaling

MLOps practices

Data governance & security

Tools

Azure ML

MLflow

Kubeflow

Databricks

ADF / Airflow

Fabric Data Pipelines

Job description

Next Ventures is seeking a Data & ML Engineer to design, build, and scale a next-generation data platform and ML ecosystem. You will work closely with the VP, Machine Learning to architect the cloud lakehouse and drive hands-on deployment of scalable models and data pipelines powering BI, personalization, and predictive analytics.

The role offers significant growth and the chance to lead AI initiatives as the company scales.