Machine Learning Engineer Job Vacancy in Lilongwe, Malawi – Artificial Intelligence
Job Description
Position: Machine Learning Engineer
Company: Google
Location: Lilongwe, Malawi
Experience: 5+ years in machine learning, AI model development, and deployment
Education: Bachelor’s degree in Computer Science, Engineering or related field; Master’s preferred
Employment Type: Full-time
Industry: Artificial Intelligence
Department: Engineering
Salary: SSP 2,500,000 – SSP 4,000,000 per annum
Vacancies:1
Company Overview
Google, a global leader in technology and innovation, operates a growing engineering hub in Lilongwe, Malawi, focused on delivering cutting‑edge solutions across cloud services, search, and artificial intelligence. The company is committed to fostering a diverse and inclusive workplace that empowers local talent to contribute to world‑changing products. As part of Google’s mission to organize the world’s information and make it universally accessible, the Lilongwe office plays a strategic role in expanding AI capabilities throughout the African continent. This is an exciting time to join Google in Malawi, where you can be part of a vibrant community that values creativity, collaboration, and continuous learning. The role contributes directly to Google’s broader vision of responsible AI, ensuring that technology serves the needs of people in Malawi and beyond. For more information about Google’s presence in Africa, visit the main website.
Job Overview
The Machine Learning Engineer will design, develop, and deploy scalable AI models that power Google’s products and services for the African market. You will work closely with data scientists, product managers, and software engineers to translate business requirements into robust machine learning pipelines. This role involves end‑to‑end responsibility, from data preprocessing and feature engineering to model training, evaluation, and production monitoring. The successful candidate will champion best practices in model governance, fairness, and interpretability, aligning with Google’s ethical AI standards. This position offers a unique opportunity to influence AI strategy in a rapidly growing region while collaborating with world‑class experts.
Key Responsibilities
- Develop and implement machine learning algorithms for search relevance, recommendation systems, and natural language processing tailored to local languages.
- Collaborate with cross‑functional teams to define AI product requirements and success metrics.
- Build data pipelines using TensorFlow, PyTorch, and Google Cloud services to ensure reliable data flow.
- Conduct rigorous model validation, A/B testing, and performance monitoring in production environments.
- Optimize models for low‑latency inference on edge devices and cloud infrastructure.
- Document model architecture, training procedures, and deployment processes for knowledge sharing.
- Stay current with emerging AI research and integrate innovative techniques into Google’s product stack.
Required Skills
- Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit‑learn.
- Strong understanding of statistical modeling, deep learning, and reinforcement learning.
- Experience with Google Cloud Platform (BigQuery, AI Platform, Kubernetes).
- Ability to work with large, unstructured datasets and perform feature engineering.
- Excellent problem‑solving skills and a data‑driven mindset.
- Effective communication skills to convey complex technical concepts to non‑technical stakeholders.
- Commitment to ethical AI practices and awareness of bias mitigation techniques.
Education
A Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, or a related discipline is required. A Master’s or Ph.D. in Machine Learning, Artificial Intelligence, or a comparable field is highly desirable and will be considered an advantage during the selection process.
Experience
Minimum of five years of professional experience developing and deploying machine learning models in production environments. Prior experience in a multinational technology company or a fast‑paced startup is preferred. Demonstrated track record of delivering AI solutions that have measurable business impact is essential.
Salary
The compensation package ranges from SSP 2,500,000 to SSP 4,000,000 per annum, commensurate with experience and expertise. In addition to the base salary, Google offers performance‑based bonuses, equity grants, and a comprehensive benefits suite.
Benefits
- Health, dental, and vision insurance covering employee and dependents.
- Generous paid parental and family leave.
- Retirement savings plan with company matching.
- Professional development stipend and access to Google’s internal learning platforms.
- Flexible working hours and remote work options.
- Employee assistance program and wellness initiatives.
Training
- Onboarding program that includes AI ethics, Google Cloud certification pathways, and product immersion.
- Continuous learning opportunities through internal workshops, conferences, and mentorship.
- Access to cutting‑edge research papers and collaboration with Google AI research teams.
Working Environment
Google’s Lilongwe office provides a modern, collaborative workspace equipped with state‑of‑the‑art technology, meeting rooms, and quiet zones for focused work. The culture emphasizes openness, creativity, and a growth mindset, encouraging employees to experiment and innovate. Employees enjoy a vibrant community with regular tech talks, hackathons, and social events that celebrate both local culture and global diversity.
Application Process
Interested candidates should submit their application through Google’s career portal. The process includes an online assessment, technical interview rounds focusing on coding, system design, and machine learning concepts, followed by a final interview with senior leadership. Candidates will be evaluated on technical expertise, cultural fit, and commitment to responsible AI.
https://tanzaniajobsearch.com/
Equal Opportunity Statement
Google is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.
