Cloud ML Engineer: Build Scalable Pipelines & MLOps

GCS Recruitment; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

GCS Recruitment is seeking a Machine Learning Engineer to join a high-performing AI and Data Science team in Chicago. The role focuses on designing end-to-end ML pipelines, building scalable predictive models, and operationalizing ML workloads in a cloud-based environment.

Ideal candidates have 5+ years of ML experience, strong Python, PySpark, Scikit-learn skills, and hands-on AWS/MLOps exposure. Experience with LLMs and deploying models in production is highly valued.

Qualifications

• 5+ years of experience in Machine Learning Engineering or related fields.
• Strong programming skills in Python.
• Hands-on PySpark and large-scale data processing experience.
• Experience with Scikit-learn for model development.
• Experience building MLOps pipelines and production deployment.
• Experience with AWS cloud environments and model monitoring.
• Familiarity with LLMs, NLP, or Generative AI.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, develop, and deploy machine learning models focused on predictive analytics and business intelligence use cases.
• Build scalable data processing and feature engineering pipelines using PySpark and distributed computing technologies.
• Develop, test, and optimize machine learning algorithms using Python and Scikit-learn.
• Implement and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Work with large structured and unstructured datasets to derive actionable insights and improve model performance.
• Collaborate with data scientists, software engineers, and business stakeholders to translate requirements into production-ready ML solutions.
• Support the integration of machine learning models into enterprise applications and workflows.
• Leverage AWS cloud services to build scalable and reliable machine learning infrastructure.
• Explore and implement Large Language Model (LLM) solutions where applicable.
• Participate in model evaluation, performance tuning, and continuous improvement initiatives.

Skills

Python

PySpark

Scikit-learn

ML pipelines

MLOps

NLP / Generative AI

Tools

AWS

LLMs

PyTorch

TensorFlow

Job description

GCS Recruitment is seeking a Machine Learning Engineer to join a high-performing AI and Data Science team in Chicago. The role focuses on designing end-to-end ML pipelines, building scalable predictive models, and operationalizing ML workloads in a cloud-based environment.

Ideal candidates have 5+ years of ML experience, strong Python, PySpark, Scikit-learn skills, and hands-on AWS/MLOps exposure. Experience with LLMs and deploying models in production is highly valued.