Real-Time ML Engineer - Production Systems & Optimization

Speria; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Speria MTech in Atlanta seeks a highly skilled Machine Learning Engineer to design, build, and deploy scalable ML and optimization systems that drive real-time decision-making across operations and supply chains. You will work on data processing, feature engineering, model development, and production deployment, collaborating with data engineering, and applying CI/CD practices.

The role offers a collaborative, innovative environment with opportunities to impact profitability and sustainability

Qualifications

• Bachelor’s or Master’s in a relevant field; MS may qualify with 1–2 years; BS typically 4–6 years.
• 2–4 years experience in Machine Learning or optimization.
• Experience deploying ML systems in production.
• Familiarity with Machine Learning flow, Databricks, CI/CD.
• Strong Python programming (production-level).
• Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn).

Responsibilities

• Design and build machine learning and optimization pipelines
• Develop and deploy production-grade models
• Build feature pipelines using distributed systems (e.g., Spark)
• Collaborate with data engineering on data readiness
• Develop decisioning systems for automated actions
• Monitor model performance and improve continuously

Skills

Machine Learning

Python

Spark

Databricks

CI/CD

PyTorch

TensorFlow

Scikit-learn

Real-time systems

LLMs

Education

BS/MS in Computer Science, Statistics, or related field

Tools

Git

CI/CD

Docker

Spark

Distributed systems

Databricks

Job description

Speria MTech in Atlanta seeks a highly skilled Machine Learning Engineer to design, build, and deploy scalable ML and optimization systems that drive real-time decision-making across operations and supply chains. You will work on data processing, feature engineering, model development, and production deployment, collaborating with data engineering, and applying CI/CD practices.

The role offers a collaborative, innovative environment with opportunities to impact profitability and sustainability