Data & ML Engineer

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

I am partnered with a Ecommerce Retail Business based our of Fort Lauderdale, who are looking to hire a critical technical role for the business.

This Data & ML Engineer would be responsible for designing, building, and scaling the companies next-generation data platform and ML ecosystem. You will work as the right hand to the VP, Machine Learning and help in architecting the foundation of their cloud lakehouse and drive the hands-on design, development, and deployment of scalable models and data pipelines that power business intelligence, personalization, and predictive analytics across the organization.

This role offers huge growth, but also the chance to be able to come in and join a company where you can be at the forefront of them scaling their AI initiatives.

Responsibilities

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

Qualifications

• 5+ years in data engineering or ML engineering
• Demonstrated experience in building and scaling data platforms
• Experience deploying and maintaining ML models in production with MLOps best practices
• 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)

The team work on a hybrid model meaning you will be in the office on Tuesdays and Thursdays.