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Data AI/ML Engineer

Job

Masterapp Labs

Milton, GA (In Person)

Full-Time

Posted 1 week ago (Updated 5 days ago) • Actively hiring

Expires 7/20/2026

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Job Description

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