Artificial Intelligence Engineer Job Vacancy in Bo, Sierra Leone – Technology

Engineering Jobs in Sierra Leone
Bo
July 14, 2026
Full Time
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Job Description

Position:Artificial Intelligence Engineer

Company:Amazon Web Services (AWS)

Location:Bo, Sierra Leone

Experience:3-5 years in AI/ML development

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

Employment Type:Full-time

Industry:Technology

Department:Engineering

Salary:SSP 2,500,000 – 4,000,000 per month

Vacancies:1

Company Overview

Amazon Web Services (AWS) is a global leader in cloud computing, offering a broad set of infrastructure services that power businesses worldwide. AWS has expanded its footprint into Sierra Leone, establishing a regional hub in Bo to support digital transformation across the nation. As part of its commitment to fostering local talent, AWS invests heavily in training, community outreach, and sustainable technology initiatives. This presence creates a vibrant ecosystem for innovation, making AWS a premier employer for professionals seeking cutting‑edge projects in the heart of West Africa. The company’s mission aligns with the growing demand for high‑skill jobs in Sierra Leone, contributing to economic growth and the development of a robust tech talent pipeline. Candidates joining AWS in Bo will be part of a dynamic team that drives cloud adoption, AI research, and scalable solutions for clients ranging from startups to multinational corporations.

Job Overview

The Artificial Intelligence Engineer will design, develop, and deploy machine learning models that solve real‑world problems for AWS customers in Sierra Leone and the broader African market. Working closely with data scientists, product managers, and software engineers, you will translate business requirements into scalable AI solutions, leveraging AWS services such as SageMaker, Lambda, and Rekognition. This role offers a unique opportunity to influence product strategy, contribute to open‑source projects, and mentor junior engineers. For more information about the broader job market, visit Sierra Leone Job Search and explore related opportunities.

Key Responsibilities

  • Develop, train, and optimize machine learning models for image, text, and speech processing.
  • Integrate AI services into AWS cloud architectures, ensuring high availability and security.
  • Collaborate with cross‑functional teams to define data pipelines and feature engineering strategies.
  • Conduct performance testing, model validation, and continuous improvement cycles.
  • Document model design, code, and deployment procedures following best practices.
  • Provide technical guidance and mentorship to junior AI engineers and interns.
  • Stay current with emerging AI research and translate findings into production‑ready solutions.

Required Skills

  • Proficiency in Python and libraries such as TensorFlow, PyTorch, or Scikit‑learn.
  • Experience with AWS AI/ML services (SageMaker, Comprehend, Rekognition, etc.).
  • Strong understanding of statistical modeling, data preprocessing, and feature extraction.
  • Ability to design RESTful APIs for model inference.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes) is a plus.
  • Excellent problem‑solving skills and ability to work in a fast‑paced environment.

Education

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

Experience

Candidates should have 3‑5 years of hands‑on experience developing and deploying AI/ML solutions in production environments. Prior experience in cloud platforms, especially AWS, and a proven track record of delivering end‑to‑end AI projects are essential. Experience working in emerging markets or with multilingual data sets will be viewed favorably.

Salary

The compensation package ranges from SSP 2,500,000 to SSP 4,000,000 per month, commensurate with experience, qualifications, and performance. In addition to the base salary, AWS offers performance‑based bonuses, stock options, and comprehensive benefits.

Benefits

  • Health insurance covering medical, dental, and vision care.
  • Retirement savings plan with company matching contributions.
  • Generous paid time off and parental leave policies.
  • Employee assistance program and mental health resources.
  • Access to AWS training labs, certifications, and conference sponsorships.

Training

  • Onboarding program that includes AWS Cloud Foundations and AI/ML bootcamps.
  • Continuous learning opportunities through internal tech talks, webinars, and mentorship.
  • Support for external certifications such as AWS Certified Machine Learning – Specialty.

Working Environment

AWS Bo office provides a modern, collaborative workspace equipped with high‑speed internet, ergonomic workstations, and dedicated quiet zones for focused development. The culture emphasizes diversity, inclusion, and innovation, encouraging employees to share ideas and experiment with new technologies. Flexible working arrangements, including remote work days, are available to promote work‑life balance.

Application Process

Interested candidates should submit their application through the AWS Careers portal. The process includes an online assessment, technical interview, and a final interview with senior leadership. For additional guidance on preparing your application, refer to the resources on Tanzania Job Search. Successful applicants will be contacted within two weeks of submission.

Equal Opportunity Statement

AWS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, disability, sexual orientation, or any other protected characteristic. All qualified applicants will receive consideration for employment without regard to any protected status.

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