ML Engineer — Cloud ML & MLOps

GCS Recruitment Specialists; California (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

GCS Recruitment Specialists seeks a Machine Learning Engineer to join a high-performing AI and Data Science team responsible for developing, deploying, and maintaining predictive machine learning solutions. This role will focus on designing end-to-end ML pipelines, building scalable predictive models, and operationalizing machine learning workloads in a cloud-based environment using AWS.

The ideal candidate will possess strong expertise in Python, PySpark, machine learning frameworks, data

Qualifications

• 5+ years of experience in machine learning engineering or AI-related roles.
• Strong Python programming background and data analysis skills.
• Hands-on experience with PySpark and large-scale data processing.
• Experience building ML models with Scikit-learn and deploying via MLOps.
• Familiarity with AWS cloud environments and LLM/NLP concepts.

Responsibilities

• Design, develop, and deploy ML models for predictive analytics and BI use cases.
• Build scalable data processing and feature engineering pipelines with PySpark.
• Develop, test, and optimize algorithms using Python and Scikit-learn.
• Implement end-to-end MLOps pipelines for training, deployment, monitoring.
• Work with large structured and unstructured data to derive insights and improve performance.
• Collaborate with data scientists, software engineers, and stakeholders to productionize ML solutions.
• Support integration of ML models into enterprise applications.
• Leverage AWS to build scalable ML infrastructure.
• Explore LLM solutions where applicable.
• Participate in model evaluation and continuous improvement.

Skills

Python

PySpark

ML pipelines

MLOps

LLMs

NLP

Generative AI

Statistical modeling

Tools

Scikit-learn

AWS

PyTorch

TensorFlow

CI/CD

Distributed computing

Job description

GCS Recruitment Specialists seeks a Machine Learning Engineer to join a high-performing AI and Data Science team responsible for developing, deploying, and maintaining predictive machine learning solutions. This role will focus on designing end-to-end ML pipelines, building scalable predictive models, and operationalizing machine learning workloads in a cloud-based environment using AWS.

The ideal candidate will possess strong expertise in Python, PySpark, machine learning frameworks, data