Build the Future of AI
in Ethiopia
Join Ethiopia's premier AI research institute and work on cutting-edge projects that transform industries and improve lives across the nation
Why Work With Us
Cutting-Edge Research
Work on state-of-the-art AI and machine learning projects that push the boundaries of technology
Continuous Learning
Access to conferences, training programs, and opportunities to publish research papers
Collaborative Environment
Work with world-class researchers and engineers in a supportive, innovative culture
Impactful Work
Build solutions that directly improve Ethiopian businesses and communities
Competitive Compensation
Industry-leading salaries, benefits, and performance bonuses
Work-Life Balance
Flexible working arrangements and generous time-off policies
Expert Positions
We're always looking for talented individuals to join our team. Browse the positions below and reach out if you're interested.
Senior Machine Learning Engineer
Role Overview
Design, develop, and deploy machine learning models for production systems serving Ethiopian enterprises. Lead technical initiatives and mentor junior engineers.
Key Responsibilities
- Design and implement scalable ML pipelines and model training infrastructure
- Develop predictive models for fraud detection, risk assessment, and business intelligence
- Optimize model performance and deployment strategies
- Collaborate with cross-functional teams to integrate ML solutions
- Mentor junior ML engineers and establish best practices
Required Qualifications
- Master's or PhD in Computer Science, Statistics, or related field
- 5+ years of experience in machine learning and data science
- Strong proficiency in Python, TensorFlow, PyTorch, or scikit-learn
- Experience with cloud platforms (AWS, Azure, or GCP)
- Track record of deploying ML models to production
Computer Vision Research Scientist
Role Overview
Lead computer vision research projects focusing on facial recognition, document processing, and quality control systems for Ethiopian industries.
Key Responsibilities
- Conduct cutting-edge research in computer vision and deep learning
- Develop novel algorithms for object detection, image classification, and segmentation
- Build and optimize CNNs, Vision Transformers, and other deep learning architectures
- Publish research findings in top-tier conferences and journals
- Collaborate with industry partners to deploy computer vision solutions
Required Qualifications
- PhD in Computer Vision, Machine Learning, or related field (or equivalent experience)
- 3+ years of research experience in computer vision
- Strong publication record in CVPR, ICCV, ECCV, or similar venues
- Expertise in OpenCV, PyTorch, and modern CV architectures
- Experience with real-time computer vision systems
Natural Language Processing Engineer
Role Overview
Build NLP systems for Amharic and other Ethiopian languages. Develop chatbots, text analysis tools, and language models for local enterprises.
Key Responsibilities
- Develop NLP models for Ethiopian languages (Amharic, Oromo, Tigrinya)
- Build conversational AI systems and chatbots
- Implement sentiment analysis, named entity recognition, and text classification
- Fine-tune transformer models (BERT, GPT) for local languages
- Create language datasets and annotation pipelines
Required Qualifications
- Master's degree in Computer Science, Linguistics, or related field
- 3+ years of experience in NLP and text processing
- Strong knowledge of transformer architectures and modern NLP techniques
- Experience with Hugging Face, spaCy, or similar frameworks
- Proficiency in Amharic or other Ethiopian languages is a plus
Senior Data Scientist
Role Overview
Extract insights from complex datasets, build predictive models, and guide data-driven decision making for Ethiopian businesses.
Key Responsibilities
- Analyze large-scale datasets to identify patterns and insights
- Build predictive models for business forecasting and risk assessment
- Design and implement A/B tests and experiments
- Create data visualizations and dashboards for stakeholders
- Collaborate with engineering teams to productionize models
Required Qualifications
- Master's degree in Data Science, Statistics, or related field
- 5+ years of experience in data science and analytics
- Strong proficiency in Python, R, SQL, and data visualization tools
- Experience with statistical modeling and hypothesis testing
- Excellent communication and stakeholder management skills
AI Solutions Architect
Role Overview
Design end-to-end AI solutions for enterprise clients. Bridge the gap between business requirements and technical implementation.
Key Responsibilities
- Design scalable AI architectures for enterprise clients
- Conduct technical assessments and feasibility studies
- Lead solution design workshops with stakeholders
- Create technical specifications and architecture diagrams
- Guide implementation teams and ensure best practices
Required Qualifications
- Bachelor's/Master's in Computer Science or related field
- 7+ years of experience in software/AI architecture
- Deep understanding of ML, cloud platforms, and system design
- Experience with microservices, APIs, and distributed systems
- Strong client-facing and presentation skills
AI Research Intern
Role Overview
Gain hands-on experience working on real AI research projects. Perfect for students or recent graduates passionate about AI and machine learning.
Key Responsibilities
- Assist senior researchers with ML experiments and data analysis
- Implement research papers and reproduce results
- Collect, clean, and prepare datasets
- Run experiments and document findings
- Contribute to research publications and technical reports
Required Qualifications
- Currently pursuing or recently completed Bachelor's/Master's in CS or related field
- Strong programming skills in Python
- Coursework or projects in machine learning and AI
- Familiarity with TensorFlow, PyTorch, or scikit-learn
- Passion for research and continuous learning
Don't See a Perfect Match?
We're always interested in meeting talented individuals. Send us your CV and let us know what you're passionate about.