Data AI/ML Engineer

Milton, GA, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
On-site
$50 - $62/hr
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Data AI/ML Engineer

Summary

Data AI/ML Engineer

Location: Alpharetta, GA (Onsite)
Interview: MS team interview/In-person

Job Description

We are seeking a Data AI/ML Engineer to join our team supporting UPS in Alpharetta, GA. This role involves building scalable data platforms, developing machine learning models, and deploying AI-driven solutions to enhance logistics, routing, and supply chain operations.

The ideal candidate has strong hands-on experience with Google Cloud Platform, Python, and modern AI/ML technologies, along with a solid foundation in data engineering and MLOps practices.

Key Responsibilities

  • Build and maintain scalable data pipelines and ETL/ELT workflows on Google Cloud Platform
  • Develop, train, and deploy machine learning models for forecasting, optimization, and analytics
  • Implement MLOps pipelines for model lifecycle management (CI/CD, monitoring, retraining)
  • Work with large datasets (structured & unstructured)
  • Collaborate with data scientists, engineers, and business stakeholders
  • Develop APIs and microservices for ML model deployment
  • Ensure data quality, integrity, and governance
  • Monitor and optimize model performance in production

Required Skills

  • 5+ years of experience in Data Engineering / ML Engineering
  • Strong programming in Python (Pandas, NumPy, Scikit-learn)
  • Hands-on experience with Google Cloud Platform:
    • BigQuery, Dataflow, Pub/Sub
    • Cloud Storage, Dataproc
    • Vertex AI
  • Strong SQL skills
  • Experience with machine learning frameworks (TensorFlow / PyTorch / Scikit-learn)
  • Experience deploying ML models in production

Technical Stack

  • Cloud: Google Cloud Platform (Google Cloud Platform)
  • Data: BigQuery, Dataflow, Pub/Sub, Dataproc
  • Programming: Python, SQL
  • ML/AI: TensorFlow, PyTorch, Scikit-learn, Vertex AI
  • Data Engineering: Apache Spark (PySpark), ETL pipelines
  • MLOps: Docker, Kubernetes (GKE), CI/CD pipelines (Jenkins / GitHub Actions / Cloud Build)
  • Streaming: Apache Kafka
  • APIs: RESTful services, Microservices architecture
  • Monitoring: Cloud Monitoring (Stackdriver), Prometheus, Grafana

Preferred Skills

  • Experience with logistics / supply chain analytics
  • Knowledge of Java / Spring Boot microservices
  • Experience with Snowflake or large-scale data warehousing
  • Familiarity with Kubeflow / Vertex AI Pipelines

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91091585
  • Position Id: 1984-37720-
  • Posted 1 day ago
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