Remote ML Engineer – Build Scalable AI Solutions

Quik Hire Staffing

South Africa

Remoto

ZAR 1.469.000 - 2.285.000

Tempo pieno

6 giorni fa
Candidati tra i primi
Generatore di candidature

Aumenta le possibilità di ricevere una risposta da questo datore di lavoro — un curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

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Descrizione del lavoro

Quik Hire Staffing is seeking a Machine Learning Engineer for a full-time remote role. You will design, develop, and deploy ML models to solve business challenges, collaborating with data scientists and software engineers to integrate AI solutions into existing systems.

The role requires expertise in Python, ML frameworks, and cloud platforms, with a focus on scalable solutions and model performance optimization. Candidates should be able to work independently in a fast-paced environment.

Competenze

  • Proficiency in Python and ML frameworks (TensorFlow or PyTorch).
  • Strong background in data structures, algorithms, and statistical modeling.
  • Experience with cloud platforms for model deployment and scaling.
  • Knowledge of SQL and databases for data extraction and preprocessing tasks.

Mansioni

  • Design and implement ML models using Python and frameworks like TensorFlow or PyTorch.
  • Collaborate with data scientists and engineers to deploy models into production.
  • Optimize and fine-tune models for scalability and accuracy.
  • Develop and maintain data preprocessing, feature engineering, and training pipelines.
  • Conduct experiments to evaluate model performance and iterate improvements.

Conoscenze

Python
TensorFlow
PyTorch
Cloud platforms
SQL
Git
MLOps
Hyperparameter tuning

Strumenti

TensorFlow
PyTorch
AWS
Google Cloud
Azure
Git
SQL

Descrizione del lavoro

Quik Hire Staffing is seeking a Machine Learning Engineer for a full-time remote role. You will design, develop, and deploy ML models to solve business challenges, collaborating with data scientists and software engineers to integrate AI solutions into existing systems.

The role requires expertise in Python, ML frameworks, and cloud platforms, with a focus on scalable solutions and model performance optimization. Candidates should be able to work independently in a fast-paced environment.

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