Machine Learning Engineer (python / Pytorch)

ZA, South Africa

Job Description

This 12-month remote contract role places you on an international machine learning project through Dijkstrack for one of our global technology partners. You'll work within a distributed engineering team to design, train, and deploy ML models using modern frameworks like PyTorch. Dijkstrack engineers enjoy access to technical community support, structured delivery processes, and the opportunity to embed within long-term global product teams.


Key Duties & Responsibilities




Design, train, and deploy

machine learning and deep learning models

using

PyTorch

Build and maintain

ML pipelines

, model training workflows, and data processing components Work with product and engineering teams to integrate models into production systems Analyse datasets, performance metrics, and optimise models for accuracy and efficiency Implement MLOps best practices for model versioning, deployment, and monitoring Document models, datasets, evaluations, and maintain reproducibility standards Participate in code reviews and uphold engineering quality in ML codebases

Essential Skills & Technical Requirements




Strong proficiency in

Python

for ML development Hands-on experience with

PyTorch

(TensorFlow experience also welcome) Solid understanding of

machine learning fundamentals, model architectures, training loops

Ability to work with

large datasets, ETL pipelines, and model optimisation

Familiarity with

Git workflows, remote collaboration, and agile delivery models


Beneficial / Nice-to-Have Experience




Experience with

ML Ops tools

like MLflow, Weights & Biases, SageMaker, or similar Exposure to

cloud-based ML deployments

(AWS, Azure, GCP) Knowledge of

microservice integration for ML models

Prior work in

AI product teams or international ML research environments


Benefits of Working with Dijkstrack




Join a network of engineers delivering advanced ML solutions internationally Technical community of senior engineers across data, backend, and product domains * Remote-first culture, global exposure, and structured technical delivery support

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Job Detail

  • Job Id
    JD1558744
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    ZA, South Africa
  • Education
    Not mentioned