Machine Learning Engineer Job Vacancy in Ndola, Zambia – Technology / Artificial Intelligence

Job Description

Position:Machine Learning Engineer

Company:Microsoft Zambia

Location:Ndola, Zambia

Experience:3-5 years

Education:Bachelor’s degree in Computer Science, Data Science, or related field

Employment Type:Full-time

Industry:Technology / Artificial Intelligence

Department:Research & Development

Salary:SSP 150,000 – 250,000 per month

Vacancies:1

Company Overview

Microsoft Zambia is a leading global technology company dedicated to empowering every person and organization on the planet. With a strong presence in Zambia, Microsoft drives digital transformation across sectors such as education, healthcare, finance, and manufacturing. The Ndola office serves as a regional hub for innovation, collaborating with local universities, startups, and government agencies to build a future-ready workforce. As part of Microsoft’s commitment to inclusive growth, the company invests heavily in community programs, cloud infrastructure, and AI research, creating a vibrant ecosystem for Zambia Jobs and fostering career opportunities for talented professionals.

Job Overview

The Machine Learning Engineer will join the Research & Development team to design, develop, and deploy scalable AI solutions that address real‑world challenges in Zambia and the broader African market. You will work closely with data scientists, product managers, and software engineers to translate business requirements into intelligent models, leveraging Microsoft Azure AI services and open‑source frameworks. This role offers a unique chance to contribute to cutting‑edge projects, from predictive analytics for agriculture to natural language processing for local languages, reinforcing Microsoft’s position as a catalyst for Innovation in Zambia. For more information about our hiring initiatives, visit Zambia Jobs Search.

Key Responsibilities

• Develop, train, and optimize machine learning models using Python, TensorFlow, PyTorch, and Azure Machine Learning.
• Collaborate with cross‑functional teams to define data requirements, feature engineering strategies, and model evaluation metrics.
• Deploy models into production environments, ensuring scalability, reliability, and compliance with data privacy regulations.
• Monitor model performance, conduct A/B testing, and implement continuous improvement cycles.
• Document technical designs, code, and best practices to facilitate knowledge sharing across the organization.
• Stay current with emerging AI research and integrate state‑of‑the‑art techniques into Microsoft solutions.

Required Skills

• Proficiency in programming languages such as Python, R, or Scala.
• Strong understanding of supervised and unsupervised learning algorithms, deep learning architectures, and statistical modeling.
• Experience with cloud platforms, preferably Microsoft Azure, including services like Azure Databricks, Cognitive Services, and Kubernetes.
• Ability to work with large, heterogeneous datasets and perform data preprocessing, cleaning, and transformation.
• Excellent problem‑solving skills, with a focus on delivering business‑impactful AI solutions.
• Effective communication skills to convey complex technical concepts to non‑technical stakeholders.

Education

A minimum of a Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or a related discipline is required. Advanced degrees (MSc or PhD) in AI, Machine Learning, or a specialized field are highly desirable and will be considered an advantage during the selection process.

Experience

Candidates should have 3 to 5 years of hands‑on experience building and deploying machine learning models in a production setting. Prior experience in cloud‑based AI services, especially within the Microsoft ecosystem, will be viewed favorably. Experience working on projects that address local market needs in Zambia or Sub‑Saharan Africa is a strong plus.

Salary

The compensation package ranges from SSP 150,000 to SSP 250,000 per month, commensurate with experience, expertise, and performance. In addition to the base salary, Microsoft offers performance‑based bonuses, stock awards, and a comprehensive benefits suite.

Benefits

• Health insurance covering medical, dental, and vision care.
• Retirement savings plan with company matching contributions.
• Generous paid time off, including vacation, sick leave, and public holidays.
• Employee assistance program and mental health resources.
• Access to Microsoft’s global learning platforms and certification programs.
• Flexible work arrangements and remote‑work options.

Training

• Onboarding program that includes Azure AI certification pathways.
• Continuous learning workshops on emerging AI technologies and ethical AI practices.
• Mentorship from senior AI researchers and engineers within Microsoft.
• Opportunities to attend international conferences and internal hackathons.

Working Environment

Microsoft Zambia offers a collaborative, inclusive, and innovative workplace where diversity of thought is celebrated. The Ndola office features modern workspaces, state‑of‑the‑art labs, and a culture that encourages experimentation and knowledge sharing. Employees enjoy a supportive community that values work‑life balance, professional growth, and social responsibility, making it an ideal destination for ambitious talent seeking Career Opportunities in Zambia.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the online portal on the Microsoft Careers website. Applications will be screened by the talent acquisition team, followed by a technical assessment and virtual interviews. Shortlisted applicants will be contacted for final discussions and a potential on‑site interview at the Ndola office.

Equal Opportunity Statement

Microsoft Zambia is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. Our hiring practices reflect our dedication to fostering a workplace where every individual can thrive and contribute to the success of our mission in Zambia.