Remote Senior AI/ML Engineer – Production ML & MLOps

Placements24

Sandton

Hybrid

ZAR 1,496,000 - 2,160,000

Full time

7 days ago
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Benefits offered by this job

Health insurance
Paid time off
Flexible hours
Remote work
Professional development

Job summary

Placements24 is seeking a highly skilled Senior AI/ML Engineer for a fully remote, globally distributed team. You will design, train, and deploy sophisticated ML models, build robust pipelines, and collaborate with cross-functional partners to deliver production-ready AI features.

The role emphasizes scalable ML systems, MLOps practices, and cutting-edge AI technologies in a remote-first environment, with opportunities for continuous professional development and flexible working hours.

Qualifications

  • Master's or PhD in Computer Science, Engineering, Mathematics, or related field.
  • 4+ years of AI/ML engineering or data science with strong engineering focus.
  • Proficiency in Python and core ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Experience with MLOps (CI/CD, model monitoring, experiment tracking) and cloud ML services.

Responsibilities

  • Design, develop, train, and deploy ML models and AI algorithms.
  • Build scalable ML pipelines for data processing, training, evaluation, deployment.
  • Collaborate with product teams to translate requirements into AI/ML solutions.
  • Optimize models for latency, scalability, and production deployment.
  • Implement monitoring, logging, and alerting for deployed models.

Skills

Python
ML Libraries
MLOps
Cloud Platforms

Education

Masters/PhD required

Tools

Git
Spark

Job description

Placements24 is seeking a highly skilled Senior AI/ML Engineer for a fully remote, globally distributed team. You will design, train, and deploy sophisticated ML models, build robust pipelines, and collaborate with cross-functional partners to deliver production-ready AI features.

The role emphasizes scalable ML systems, MLOps practices, and cutting-edge AI technologies in a remote-first environment, with opportunities for continuous professional development and flexible working hours.

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