Machine Learning Engineer Job - Corporate Staffing Services

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Key Responsibilities:

Design and build machine learning models and pipelines.
Implement MLOps pipelines using tools like Kubeflow, MLflow, or Airflow.
Scale AI infrastructure and integrate models with hybrid environments (on-prem GPUs + cloud providers like AWS, Azure, etc.)
Lead and contribute to client-facing AI/ML solutions for enterprise and government projects.
Ensure security, compliance, and scalability for multi-million-dollar contracts
Contribute to the development of proprietary AI/ML intellectual property.
Drive innovation and stay ahead of emerging AI trends

Qualifications:

Bachelor’s degree in Computer Science, Data Science, AI, or a related field
Master’s/PhD preferred in Machine Learning or a related discipline
5+ years in machine learning engineering with hands-on experience building production ML systems
Expertise in ML frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, Azure, GCP)
Experience in MLOps practices, CI/CD for ML, and containerization (Docker, Kubernetes)

How to Apply

This job will attract 1000+ applicants.
Many qualified professionals miss out on getting shortlisted and interviews — not because they lack experience, but because their CV doesn’t clearly show how they fit this specific job.
🎯 Want to get an interview fast? Customize your CV specifically for this job.
Using the same CV for every application will not get you interviews.
Email your CV today to our Client Service Manager, Rose, using cvwriting@corporatestaffing.co.ke
Subject: CV Review & Upgrade.
Rose and our recruiters will review your CV and show you exactly how to improve it for the job you are targeting.
Using an A.I-generated CV but not getting interviews? Get it reviewed here by our recruiters today.

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