Machine Learning Data Engineer

Client Name : Kforce

End Client Name : Metrc

Job Title : Machine Learning Data Engineer

Location : Hybrid Tampa FL (Must be within an hour of Tampa FL)

Work Type : Hybrid

Job Type : 4 6 Month Contract to Hire

Rate : $55 / hour on w2 Salary : $120000 $130000

LinkedIn needed. Clear unhidden copy of the visa copy needed.

Notes :

Interview Type : Video

Job Description :

The Data Engineer AI / ML Pipelines is a critical technical role focused on building robust scalable and intelligent data infrastructure that powers analytics and machine learning across the enterprise. This position requires hands-on experience supporting ML initiatives end-to-end-from data ingestion and feature engineering to model deployment and monitoring.

The candidate will design and maintain production-grade pipelines that ingest normalize and transform data from systems such as Warehouse Management Systems (WMS) and ERP platforms. The engineer will support data scientists contribute to real-time predictive systems and develop data solutions that directly impact ML performance and operational intelligence.

Roles and Responsibilities :

Build and manage ML data pipelines ensuring scalability and reliability.

Support end-to-end model lifecycle workflows from feature engineering to deployment.

Collaborate with data scientists and operations teams to optimize ML data infrastructure.

Ingest and transform large-scale data from WMS and ERP systems.

Lead initiatives that enhance data availability and performance for analytics and AI.

Required Skills :

Proven experience in ML data pipelines feature engineering and supporting model lifecycle workflows.

Proficiency in Python SQL and modern data transformation tools like dbt Spark or Delta Lake.

Strong understanding of data modeling orchestration and cloud data platforms (e.g. Azure Databricks).

Familiarity with ML-oriented tools such as MLflow TensorFlow Extended (TFX) or similar.

Hands-on experience working with WMS or operational logistics data.

Preferred Skills :

Experience supporting enterprise-scale ML or AI-driven systems.

Strong background in real-time data processing and pipeline optimization.

Ability to collaborate effectively with cross-functional technical and business teams.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1