Machine Learning Engineer Job Vacancy in Ghanzi, Botswana – Cloud Computing & Artificial Intelligence
Job Description
Position:Machine Learning Engineer
Company:Amazon Web Services (AWS) Botswana
Location:Ghanzi, Botswana
Experience:5+ years
Education:Master’s degree in Computer Science, Data Science, or related field
Employment Type:Full-time
Industry:Cloud Computing & Artificial Intelligence
Department:Engineering
Vacancies:1
Company Overview
AWS Botswana is a leading provider of cloud services, delivering scalable, secure, and innovative solutions to businesses across Southern Africa. As part of Amazon’s global network, AWS Botswana helps organizations transform their operations through advanced computing, storage, and machine learning capabilities. With a strong commitment to local talent development, AWS Botswana invests in training programs, community outreach, and partnerships with educational institutions to foster a thriving tech ecosystem in Botswana. The company’s presence in Ghanzi supports regional digital transformation, enabling enterprises in agriculture, mining, and government to leverage cloud‑based AI solutions for improved efficiency and sustainability. By joining AWS Botswana, you become part of a forward‑thinking team that drives cutting‑edge technology adoption while contributing to the economic growth of Botswana.
Job Overview
As a Machine Learning Engineer at AWS Botswana, you will design, develop, and deploy scalable machine learning models that power intelligent services for a diverse portfolio of clients. You will collaborate with data scientists, solution architects, and product managers to translate business challenges into robust AI solutions hosted on AWS platforms such as SageMaker, Lambda, and EMR. This role offers a unique opportunity to work on high‑impact projects ranging from predictive analytics for agricultural yield forecasting to real‑time fraud detection for financial services. The position is based in Ghanzi, providing a strategic location to serve both urban and rural markets. For more information about our mission and career opportunities, visit our main portal.
Key Responsibilities
- Develop, train, and optimize machine learning models using Python, TensorFlow, PyTorch, and AWS SageMaker.
- Collaborate with cross‑functional teams to gather requirements, define data pipelines, and ensure model scalability.
- Implement end‑to‑end MLOps workflows, including CI/CD, monitoring, and automated model retraining.
- Perform feature engineering, data preprocessing, and exploratory data analysis on large, heterogeneous datasets.
- Ensure model compliance with data privacy regulations and AWS security best practices.
- Provide technical mentorship to junior engineers and contribute to knowledge‑sharing sessions.
- Document model architecture, performance metrics, and deployment procedures for internal and client reference.
Required Skills
- Proficiency in Python and experience with machine learning libraries such as Scikit‑learn, TensorFlow, or PyTorch.
- Hands‑on experience with AWS AI services (SageMaker, Rekognition, Comprehend, etc.).
- Strong understanding of statistical modeling, deep learning, and natural language processing.
- Familiarity with containerization (Docker) and orchestration (Kubernetes/EKS).
- Ability to design and implement scalable data pipelines using AWS Glue, Athena, or Redshift.
- Excellent problem‑solving skills and a data‑driven mindset.
- Effective communication skills to convey complex technical concepts to non‑technical stakeholders.
Education
A Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline is required. Relevant certifications such as AWS Certified Machine Learning – Specialty are highly desirable.
Experience
Minimum of five years of professional experience building and deploying production‑grade machine learning solutions, preferably within cloud environments. Experience in sectors such as agriculture, mining, finance, or public services in Botswana will be considered an advantage.
Benefits
- Competitive salary aligned with industry standards in Botswana.
- Comprehensive health insurance covering medical, dental, and vision.
- Generous paid time off and public holidays.
- Professional development budget for certifications, conferences, and workshops.
- Employee stock purchase plan and performance‑based bonuses.
- Relocation assistance for candidates moving to Ghanzi.
Training
- Onboarding program that includes AWS Cloud Foundations and Machine Learning bootcamps.
- Access to AWS Training and Certification portal for continuous skill enhancement.
- Mentorship from senior AI architects and participation in internal hackathons.
Working Environment
AWS Botswana offers a collaborative, inclusive, and innovative workplace. Our Ghanzi office features modern workspaces, high‑speed internet, and flexible working arrangements, including remote work options. The company promotes a culture of diversity, encouraging ideas from all backgrounds to drive creative solutions for Botswana Jobs and beyond.
Application Process
Interested candidates should submit their updated CV and a cover letter outlining relevant experience through our online portal. Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for a technical interview followed by a cultural fit interview.
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Equal Opportunity Statement
AWS Botswana is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, age, disability, or sexual orientation. Our hiring practices reflect our dedication to providing Career Opportunities in Botswana for talented individuals from all walks of life.
