Machine Learning Engineer Job Vacancy in Tabora, Tanzania – Technology

Job Description

Position: Machine Learning Engineer

Company: Google Tanzania

Location: Tabora, Tanzania

Experience: 3-5 years

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

Employment Type: Full-time

Industry: Technology

Department: Artificial Intelligence & Machine Learning

Salary: SSP 3,000,000 – 5,000,000 per annum

Vacancies:1

Company Overview

Google Tanzania is a leading global technology company dedicated to organizing the world’s information and making it universally accessible and useful. With a strong commitment to innovation, Google has established a vibrant presence in Tanzania, fostering digital transformation across industries. Our Tabora office serves as a strategic hub for regional AI initiatives, collaborating with local universities, startups, and government agencies to accelerate the adoption of cutting‑edge technologies. As part of Google’s mission to empower communities, we provide career opportunities that contribute to Tanzania Jobs, Jobs in Tanzania, and broader economic growth. Our culture emphasizes creativity, inclusivity, and continuous learning, ensuring that every employee can thrive while shaping the future of technology in East Africa.

Job Overview

The Machine Learning Engineer will join the Artificial Intelligence & Machine Learning department to design, develop, and deploy scalable ML models that solve real‑world problems for Tanzanian users and businesses. You will work closely with data scientists, software engineers, and product managers to translate research prototypes into production‑ready services. This role offers a unique chance to impact sectors such as agriculture, healthcare, finance, and education, aligning with Google’s commitment to responsible AI. For more information about our vision and values, visit our main website at https://tanzaniajobsearch.com/. This position is a key component of our ongoing effort to expand Job Vacancy in Tanzania listings and attract top talent for Career Opportunities in Tanzania.

Key Responsibilities

• Design, implement, and optimize machine learning algorithms for large‑scale data sets.
• Collaborate with cross‑functional teams to integrate ML models into Google Cloud services and mobile applications.
• Conduct experiments, perform A/B testing, and analyze results to improve model performance.
• Ensure models meet ethical standards, privacy regulations, and bias mitigation guidelines.
• Document code, methodologies, and findings to facilitate knowledge sharing across the organization.
• Mentor junior engineers and contribute to the growth of the local AI talent pool.

Required Skills

• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit‑learn.
• Strong understanding of statistical modeling, deep learning architectures, and data preprocessing techniques.
• Experience with cloud platforms (Google Cloud Platform preferred) and containerization tools like Docker.
• Ability to write clean, efficient, and maintainable code following best practices.
• Excellent problem‑solving skills and a data‑driven mindset.
• Effective communication skills to convey complex concepts to non‑technical stakeholders.

Education

A minimum of a Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or a related discipline is required. Advanced degrees (M.Sc. or Ph.D.) 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 machine learning solutions in production environments. Prior experience in sectors such as agriculture technology, fintech, or e‑health is a plus, as it aligns with Google’s focus on creating impactful solutions for Tanzania.

Salary

The compensation package ranges from SSP 3,000,000 to SSP 5,000,000 annually, commensurate with experience and expertise. Salary is reviewed annually based on performance and market benchmarks.

Benefits

• Comprehensive health insurance covering medical, dental, and vision.
• Generous paid time off and parental leave.
• Retirement savings plan with company matching contributions.
• Access to Google’s global learning platforms and certification programs.
• Flexible working hours and remote‑work options.
• Employee assistance programs and wellness initiatives.

Training

• Onboarding program that includes AI ethics, data privacy, and Google Cloud fundamentals.
• Continuous technical workshops on emerging ML techniques and tools.
• Mentorship pairing with senior AI researchers within Google.
• Opportunities to attend international conferences and hackathons.

Working Environment

Google Tanzania offers a collaborative, inclusive, and innovative workspace equipped with state‑of‑the‑art facilities. Our Tabora office provides open‑plan areas, quiet zones for focused work, and meeting rooms with video‑conferencing capabilities. Employees enjoy a vibrant community culture that celebrates diversity, encourages knowledge sharing, and supports work‑life balance.

Application Process

Interested candidates should submit an online application through our career portal, attaching an updated resume and a cover letter highlighting relevant experience. Shortlisted applicants will undergo a technical assessment followed by virtual interviews with the hiring panel. Successful candidates will receive an offer letter outlining compensation, benefits, and start‑date details.

Equal Opportunity Statement

Google Tanzania 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, sexual orientation, or any other protected characteristic. Our hiring practices reflect our dedication to fairness and the belief that diverse perspectives drive innovation and success.