Machine Learning Engineer
Position Summary
We are seeking 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.
The ideal candidate will possess strong expertise in Python, PySpark, machine learning frameworks, data analysis, and MLOps practices. Experience working with Large Language Models (LLMs) and deploying machine learning solutions in AWS environments is highly desired.
Required Qualifications
- 5+ years of experience in Machine Learning Engineering, AI Engineering, or related disciplines.
- Strong programming expertise in Python.
- Hands-on experience with PySpark and large-scale data processing.
- Experience developing machine learning models using Scikit-learn.
- Strong background in data analysis, feature engineering, and statistical modeling.
- Experience building and maintaining MLOps pipelines and model deployment workflows.
- Knowledge of machine learning lifecycle management, CI/CD, and production model monitoring.
- Experience working within AWS cloud environments.
- Familiarity with Large Language Models (LLMs), NLP, or Generative AI technologies.
- Strong problem-solving and communication skills.
GCS is acting as an Employment Business in relation to this vacancy.
Machine Learning Engineer
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