Machine Learning Engineer Job Vacancy in Marka, Somalia – Technology & Software

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Marka
September 7, 2026
Full Time
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Job Description

Position: Machine Learning Engineer

Company: Google

Location: Marka, Somalia

Experience: 3-5 years

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

Employment Type: Full-time

Industry: Technology & Software

Department: Artificial Intelligence

Salary: 8,000,000 – 12,000,000 SSP per month

Vacancies:1

Company Overview

Google is a global leader in internet services, cloud computing, and artificial intelligence. With a mission to organize the world’s information and make it universally accessible, Google has expanded its operations to support emerging markets across Africa, including Somalia. The company’s commitment to innovation, sustainability, and inclusive growth drives its investment in local talent and infrastructure. By establishing a regional hub in Marka, Google aims to empower Somali professionals with cutting‑edge tools, foster a vibrant tech ecosystem, and contribute to the nation’s digital transformation. This role offers a unique opportunity to be part of Google’s ambitious vision while shaping the future of AI in Somalia.

Job Overview

The Machine Learning Engineer will design, develop, and deploy scalable machine learning models that address real‑world challenges for Google’s products and services in the region. Working closely with data scientists, product managers, and software engineers, you will translate business requirements into robust algorithms, ensure model performance, and maintain high standards of data privacy and ethical AI. This position is central to Google’s strategy of delivering localized solutions, such as language translation, predictive analytics for agriculture, and intelligent search experiences for Somali users. For more information about Google’s presence in Africa, visit Google Africa Careers.

Key Responsibilities

  • Develop and implement machine learning pipelines for data ingestion, preprocessing, model training, and deployment.
  • Collaborate with cross‑functional teams to define problem statements, success metrics, and data requirements.
  • Optimize models for performance, scalability, and low latency on Google Cloud Platform.
  • Conduct rigorous A/B testing, validation, and monitoring to ensure model reliability.
  • Document code, experiments, and findings to promote knowledge sharing across the organization.
  • Stay current with state‑of‑the‑art research and integrate novel techniques where applicable.

Required Skills

  • Proficiency in Python and libraries such as TensorFlow, PyTorch, or scikit‑learn.
  • Strong understanding of statistical modeling, deep learning architectures, and natural language processing.
  • Experience with cloud services, preferably Google Cloud AI/ML tools.
  • Ability to work with large, unstructured datasets and implement data pipelines.
  • Excellent problem‑solving skills and a collaborative mindset.
  • Effective communication in English; knowledge of Somali is a plus.

Education

A bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or a related discipline is required. Advanced degrees (MSc or PhD) are highly desirable and will be considered an advantage during the selection process.

Experience

Applicants should have 3‑5 years of hands‑on experience building and deploying machine learning solutions in production environments. Prior experience in emerging markets, especially within Africa, will be valued.

Salary

The compensation package ranges from 8,000,000 to 12,000,000 SSP per month, commensurate with experience and expertise. Salary is paid in Somali Shilling and includes performance‑based bonuses.

Benefits

  • Comprehensive health insurance covering medical, dental, and vision.
  • Generous paid time off and public holidays.
  • Retirement savings plan with employer matching.
  • Access to Google’s global learning platforms and certifications.
  • Flexible working hours and remote‑work options.

Training

  • Onboarding program with mentorship from senior AI engineers.
  • Continuous professional development through workshops, conferences, and internal hackathons.
  • Opportunities to attend Google AI research symposiums worldwide.

Working Environment

Google’s Marka office offers a modern, collaborative workspace equipped with high‑speed internet, ergonomic furniture, and dedicated quiet zones for focused work. The culture emphasizes creativity, inclusivity, and a growth mindset, encouraging employees to experiment and share ideas freely.

Application Process

Interested candidates should submit an online application through Google’s career portal, attaching a detailed resume and a cover letter highlighting relevant projects. Shortlisted applicants will undergo a technical assessment followed by virtual interviews with the hiring team.

Equal Opportunity Statement

Google is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, ethnicity, disability, sexual orientation, or veteran status. Join us to build a future where technology serves everyone in Somalia.

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