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MACHINE LEARNING ENGINEER

Exclusive opportunity

Onsite

MACHINE LEARNING ENGINEER

TeamAce

MACHINE LEARNING ENGINEER

Skills

PythonData SciencePyTorchTensorFlowMachine LearningAI

3 days ago

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Important information


Contract type:

Permanent

Location:

Abuja, Federal Capital Territory, Nigeria

Work mode:

Onsite

Published on:

16 October 2026

What they need


Job Opening!!!!

TeamAce Limited: Our client, a Nigerian health-tech company is looking to fill the role of:

Job Title: MACHINE LEARNING ENGINEER

Location: Abuja, Nigeria.

______________

Job Summary

As a Machine Learning Engineer, you will develop, deploy, and optimise machine learning models that support AI-driven healthcare solutions and improve digital health services.

______________

Responsibilities

  • Design, develop, train, and deploy machine learning models to support healthcare applications and personalised digital health solutions.

  • Analyse and process large datasets to identify patterns, improve model performance, and generate actionable insights.

  • Collaborate with software engineers, data scientists, and healthcare teams to integrate AI models into existing platforms.

  • Monitor, evaluate, and optimise model performance, ensuring reliability, scalability, and efficiency.

  • Ensure responsible handling of health data, considering data privacy, security, and ethical AI practices.

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Requirements

  • Bachelor’s or Master’s Degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.

  • Relevant experience in machine learning, artificial intelligence, or model development and deployment.

  • Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

  • Strong understanding of statistics, data preprocessing, model evaluation, and machine learning algorithms.

  • Experience working with healthcare data, digital health platforms, cloud technologies, or production ML systems is an added advantage.

______________

Salary

  • Open to Negotiation.

Qualified and Interested Candidates should apply here: https://forms.gle/XB6oSDBWbuhyAjBD6

Work Location: In person

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