Machine Learning Engineer Job Vacancy in Namibe, Angola – Technology

Engineering Jobs in Angola
Namibe
September 17, 2026
Full Time
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Job Description

Position:Machine Learning Engineer

Company:Google Angola

Location:Namibe, Angola

Experience:3-5 years

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

Employment Type:Full-time

Industry:Technology

Department:Engineering

Salary:SSP 250,000 – 400,000 per month

Vacancies:1

Company Overview

Google Angola is a leading subsidiary of the global technology giant Google, dedicated to bringing innovative digital solutions to the Angolan market. With a strong focus on cloud services, artificial intelligence, and data-driven products, Google Angola plays a pivotal role in the digital transformation of businesses across the country. The company’s commitment to sustainability, diversity, and community development makes it an attractive employer for professionals seeking impactful careers. As part of Google’s worldwide network, the Namibe office offers a collaborative environment where cutting‑edge research meets real‑world application, creating abundant Career Opportunities in Angola for talented individuals.

Job Overview

The Machine Learning Engineer will join the Engineering department to design, develop, and deploy scalable machine learning models that power Google’s suite of products and services in Angola. This role involves close collaboration with data scientists, product managers, and software engineers to translate business needs into robust AI solutions. The successful candidate will contribute to projects ranging from natural language processing for local languages to predictive analytics for regional markets. For more information about the company and its mission, visit Angola Job Search. This position is a prime example of Jobs in Angola that blend technical excellence with local impact.

Key Responsibilities

  • Design, implement, and optimize machine learning algorithms for large‑scale data sets.
  • Collaborate with cross‑functional teams to integrate AI models into production systems.
  • Conduct experiments, evaluate model performance, and iterate based on results.
  • Develop data pipelines and feature engineering processes to support model training.
  • Ensure models meet security, privacy, and compliance standards specific to Angola.
  • Document code, methodologies, and results for knowledge sharing.
  • Mentor junior engineers and contribute to the growth of the local AI community.

Required Skills

  • Proficiency in Python and libraries such as TensorFlow, PyTorch, or Scikit‑learn.
  • Strong understanding of statistical modeling, deep learning, and reinforcement learning.
  • Experience with cloud platforms (Google Cloud Platform preferred).
  • Ability to work with big data technologies like Hadoop, Spark, or BigQuery.
  • Excellent problem‑solving skills and a data‑driven mindset.
  • Effective communication skills in English; Portuguese is a plus.

Education

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

Experience

Applicants should have 3‑5 years of professional experience developing and deploying machine learning models in a production environment. Prior experience in a multinational tech company or a fast‑growing startup is advantageous, especially if it involved work on AI solutions for emerging markets.

Salary

The compensation package ranges from SSP 250,000 to SSP 400,000 per month, commensurate with experience and expertise. In addition to the base salary, Google Angola offers performance‑based bonuses and equity participation opportunities.

Benefits

  • Comprehensive health insurance covering medical, dental, and vision.
  • Generous paid time off and parental leave policies.
  • Retirement savings plan with company matching.
  • Free meals, snacks, and on‑site fitness facilities.
  • Employee assistance programs and mental health resources.
  • Transportation allowance for commuting to the Namibe office.

Training

  • Access to Google’s internal learning platform with courses on AI, cloud computing, and leadership.
  • Opportunities to attend international conferences and workshops.
  • Mentorship programs pairing engineers with senior technical leaders.
  • Support for certifications such as Google Cloud Professional Machine Learning Engineer.

Working Environment

Google Angola fosters an inclusive, innovative, and flexible workplace. The Namibe office features modern workstations, collaborative spaces, and state‑of‑the‑art labs for AI research. Employees enjoy a culture that encourages creativity, continuous learning, and work‑life balance, making it an ideal setting for professionals seeking rewarding Employment in Angola.

Application Process

Interested candidates should submit their updated resume and a cover letter outlining their relevant experience through the online portal on the company website. Applications will be reviewed by the talent acquisition team, followed by a technical assessment and virtual interviews. Successful applicants will receive a formal offer and onboarding details.

Equal Opportunity Statement

Google Angola is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We encourage qualified individuals from all backgrounds to apply and join our mission to make information universally accessible.

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